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Home/Blog/GPU accelerated Applications and their fields of use

GPU accelerated Applications and their fields of use

GPU Accelerated applications and computing has revolutionized a broad range of industries with over five hundred applications optimized for NVIDIA Graphics Processing Units to help you accelerate your work.

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Computational Finance

Application name	Company	Product Description	Supported Features	GPU scaling
Accelerated Computing Engine	Elsen	Secure, accessible, and accelerated backtesting, scenario analysis, risk analytics and real-time trading designed for easy integration and rapid development.	Web-like API with Native bindings for Python, R, Scala, C Custom models and data streams are easy to add	Multi-GPU Single Node
Adaptiv Analytics	SunGard	A flexible and extensible engine for fast calculations of a wide variety of pricing and risk measures on a broad range of asset classes and derivatives.	Existing models code in C# supported transparently, with minimal code changes Supports multiple backends including CUDA and OpenCL Switches transparently between multiple GPUs and CPUS depending on the deal support and load factors	Multi-GPU Single Node
Alea.cuBase F#	QuantAlea’s	F# package enabling a growing set of F# capability to run on a GPU	F# for GPU accelerators	Multi-GPU Single Node
Esther	Global Valuation	In-memory risk analytics system for OTC portfolios with a particular focus on XVA metrics and balance sheet simulations.	High quality models not admitting closed form solutions Efficient solvers based on full matrix linear algebra powered by GPUs and Monte Carlo algorithms	Multi-GPU Single Node
Global Risk	MISYS	Regulatory compliance and enterprise wide risk transparency package	Risk analytics	Multi-GPU Single Node
Hybridizer C#	Altimesh	Multi-target C# framework for data parallel computing.	C# with translation to GPU or MultiCore Xeon	Multi-GPU Single Node
MACS Analytics Library	Murex	Analytics library for modeling valuation and risk for derivatives across multiple asset classes	Market standard models for all asset classes paired with the most efficient resolution methods (Monte Carlo simulations and Partial Differential Equations)	Multi-GPU Single Node
MiAccLib 2.0.1	Hanweck Associates	Accelerated libraries which encompasses high speed multi-algorithm search engines, data security engine and also video analytics engines for text processing, encryption/decryption and video surveillance respectively	Text Processing: Exact Match, Approximate\Similarity Text, Wild Card, MultiKeyword and MultiColumnMultiKeyword, etc Data Security: Accelerated Encryption/Description for AES-128 Video Analytics: Accelerated Intrusion Detection Algorithm	N/A
NAG	Numerical Algorithms Group	Random number generators, Brownian bridges, and PDE solvers	Monte Carlo and PDE solvers	Single GPU Single Node
O-Quant options pricing	O-Quant	Offering for risk management and complex options / derivatives pricing using GPU	Cloud-based interface to price complex derivatives representing large baskets of equities	Multi-GPU Multi-Node
Oneview	Numerix	Numerix introduced GPU support for Forward Monte Carlo simulation for Capital Markets and Insurance	Equity/FX basket models with BlackScholes/Local Vol models for individual equities and FX Algorithms: AAD (Automatic Algebraic Differential) New approaches to AAD to reduce time to market for fast Price Greeks and XVA Greeks	Multi-GPU Multi-Node
Pathwise	Aon Benfield	Specialized platform for real-time hedging, valuation, pricing and risk management	Spreadsheet-like modeling interfaces, Python-based scripting environment, and Grid middleware	Multi-GPU Single Node
SciFinance	SciComp, Inc	Derivative pricing (SciFinance)	Monte Carlo and PDE pricing models	Single GPU Single Node
Synerscope Data Visualization	Synerscope	Visual big data exploration and insight tools	Graphical exploration of large network datasets including geo-spatial and temporal components	Single GPU Single Node
Volera	Hanweck Associates	Real-time options analytical engine (Volera)	Real-time options analytics engine	Multi-GPU Single Node
Xcelerit SDK	Xcelerit	Software Development Kit (SDK) to boost the performance of Financial applications (e.g. Monte-Carlo, Finite-difference) with minimum changes to existing code.	C++ programming language, crossplatform (back-end generates CUDA and optimized CPU code), supports Windows and Linux operating systems	Multi-GPU Single Node

Application name	Company	Product Description	Supported Features	GPU scaling
ACME-Atm	US DOE	Global atmospheric model used as component to ACME global coupled climate model	Dynamics only	Multi-GPU Multi-Node
COSMO	COSMO Consortium	Regional numerical weather prediction and climate research model	Radiation only in the trunk release, all features in the MCH branch used for operational weather forecasting	Multi-GPU Multi-Node
Gales	KNMI, TU Delft	Regional numerical weather prediction model	Full Model	Multi-GPU Multi-Node
WRF AceCAST-WRF	TempoQuest Inc	WRF model from NCAR, but now commercialized by TQI. Used for numerical weather prediction and regional climate studies. All popular aspects of WRF model are GPU developed.	All popular aspects of WRF model are GPU developed: - ARW dynamics - 19 physics options including enough to run the full WRF model on GPUs	Multi-GPU Multi-Node

Application name	Company	Product Description	Supported Features	GPU scaling
ANACONDA	Anaconda	Anaconda is the leading python package	Includes Bindings to CUDA libraries: cuBLAS, cuFFT, cuSPARSE, cuRAND, and sorting algorithms from the CUB and Modern GPU libraries Includes Numba (JIT python compiler) and Dask (python scheduler) Includes single-line install of numerous DL frameworks such as pytorch	Multi-GPU Single Node
ArgusSearch	Planet AI	Deep Learning driven document search	fast full text search engine: searches hand-written and text documents, including PDF	allows almost any arbitrary requests (Regular Expressions are supported)
Automatic Speech Recognition	Capio	In-house and Cloud-based speech recognition technologies	Real-time and offline (batch) speech recognition Exceptional accuracy for transcription of conversational speech Continuous Learning (System becomes more accurate as more data is pushed to the platform	Multi-GPU Single Node
Blazegraph GPU	Blazegraph	First and fastest GPU accelerated platform for graph query. It provides drop-in acceleration for existing RDF/ Sparql and Tinkerpop/ Blueprints graph applications. It provides high-level graph database APIs with transparent GPU acceleration for graph query.	GPU-accelerated SPARQL graph query Data Management using the RDF interchange model Tinkerpop/Blueprints Graph Support Billions of edges on a single multi-GPU node SaaS and Appliance models available.	Multi-GPU Single Node
BlazingDB	BlazingDB	GPU-accelerated relational database for data warehousing scenarios available for AWS and on-premise deployment.	Modern data warehousing application supporting petabyte scale applications	Multi-GPU Single Node
BrytlytDB	Brytlyt	In-GPU-memory database built on top of PostgreSQL	GPU-Accelerated joins, aggregations, scans, etc. on PostgreSQL. Visualization platform bundled with database is called SpotLyt.	Multi-GPU Multi-Node
CuPy	Preferred Networks	CuPy (https://github.com/cupy/cupy) is a GPU-accelerated scientific computing library for Python with a NumPy compatible interface	CUDA Multi GPU support	Multi-GPU Single Node
Datalogue	Datalogue	AI powered pipelines that automatically prepare any data from any source for immediate & compliant use	Data transformation Ontology mapping Data standardization Data augmentation	Multi-GPU Single Node
DeepGram	DeepGram	Voice processing solution for call centers, financials and other scenarios	Speech to text and phonetic search using GPU deep learning	Multi-GPU Single Node
Driverless AI	H2O.ai	Automated Machine Learning with Feature Extraction. Essentially BI for Machine Learning and AI, with accuracy very similar to Kaggle Experts.	Automated machine learning and feature extraction Automated statistical visualization Interpretability toolkit for machine learning models	Multi-GPU Single Node
GPUdb	Kinetica	Multi-GPU, Multi-Machine distributed object store providing SQL style query capability, advanced geospatial query capability,heatmap generation, and distributed rasterization services.	Query against big data in real time No pre-indexing allows for complex, adhoc query chains. Interactively explore large, streaming data sets.	Multi-GPU Single Node
Gunrock	UC Davis	Gunrock is a library for graph processing on the GPU. Gunrock achieves a balance between performance and expressiveness by coupling high performance GPU implementations with a high-level programming model, that requires minimal GPU programming knowledge.	Direction-optimizing BFS, SSSP, PageRank, Connected Components, Betweenness-centrality, triangle counting Multi-GPU support for frontier-based methods	Multi-GPU Single Node
H2O4GPU	H2O.ai	H2O is a popular machine learning platform which offers GPU-accelerated machine learning. In addition, they offer deep learning by integrating popular deep learning frameworks.	Currently supporting tree based methods (GBM & Random Forest), GLM, Kmeans and are working on a bunch of other algorithms that are coming soon Supports TensorFlow, Caffe and MXNet	Multi-GPU Single Node
IntelligentVoice	IntelligentVoice	Far more than a transcription tool, this speech recognition software learns what is important in a telephone call, extracts information and stores a visual representation of phone calls to be combined with text/instant messaging and E-mail. Intelligent Voice’s search and alert makes it possible to tackle issues before they arise, address data security concerns and monitor physical access to data.	Advanced Speech Recognition across large data sets, JumpTo Technology, for data visualisation, E-Discovery, extraction from phone calls, IM & Email defining key phrases and emotional analysis Compliance, defining key conversations and interactions	Multi-GPU Single Node
Jedox	Jedox	Helps with portfolio analysis, management consolidation, liquidity controlling, cash flow statements, profit center accounting, treasury management, customer value analysis and many more applications, all accessible in a powerful web and mobile application or Excel environment.	This database holds all relevant data in GPU memory and is thus an ideal application to utilize the Tesla K40 &12 GB on-board RAM Scale that up with multiple GPUs and keep close to 100 GB of compressed data in GPU memory on a single server system for fast analysis, reporting, and planning.	Multi-GPU Single Node
Labellio	KYOCERA Communication Systems Co	The world’s easiest deep learning web service for computer vision, which allows everyone to build own image classifier with only web browser.	Neural net fine-tuning for image data, data crawling, data browsing as well as drag-and-drop style data cleansing backed by AI support	Multi-GPU Single Node
Numba	Anaconda	JIT compilation of Python functions for execution on various targets (including CUDA)	JIT compilation of Python functions for execution on various targets (including CUDA)	Multi-GPU Single Node
OmniSci	OmniSci	OmniSci is GPU-powered big data analytics and visualization platform that is hundreds of times faster than CPU in-memory systems. OmniSci uses GPUs to execute SQL queries on multi-billion row datasets and optionally render the results, all in milliseconds.	Uses LLVM’s nvptx backend to generate CUDA kernels. OpenGL- (EGL) based rendering is not open source. Can run in a docker container using NVIDIA-docker.	Multi-GPU Single Node
Polymatica	Polymatica	Analytical OLAP and Data Mining Platform	Visualization, Reporting, OLAP inmemory with GPU acceleration, Data Mining, Machine Learning, Predictive Analytics	Multi-GPU Multi Node
Sqream DB	Sqream	GPU accelerated SQL database engine for big data analytics. Sqream speeds SQL analytics by 100X by translating SQL queries into highly parallel algorithms run on the GPU.	Up to 100TB of raw data can be stored and queried in a standard 2U server Inserts and analyzes hundreds of billions of records in seconds No indexes required No changes to SQL code or data science paradigms required	Multi-GPU Single Node
SynerScope	SynerScope	Big data visualization and data discovery, for combining Analytics on Analytics with IoT compute-at-the-edge smart sensors.	Real-time Interaction with data	Single GPU Single Node
ZX Lib (Fuzzy Logic)	Tanay	Financial analytics and data mining library	Monte Carlo simulations, pricing of vanilla and exotic options, fixed income analytics, data mining	Multi-GPU Single Node

Application name	Company	Product Description	Supported Features	GPU scaling
AlphaSense	AlphaSense	PaaS for Financial analysis based on public corporate information Geared at financial analysts within financial services Allows very fast searches of public corporate information, and allowsv questing answering format (“the Google for Analyst research”)	PaaS for Financial analysis based on public corporate information Geared at financial analysts within financial services Allows very fast searches of public corporate information, and allowsv questing answering format (“the Google for Analyst research”)	Multi-GPU Single Node
ANACONDA Enterprise	ANACONDA	Anaconda Enterprise takes Anaconda to the next level and makes it easy, secure, and manageable to scale powerful analytics workflows from the laptop to the server and then scaled out to your cluster, while also incorporating collaboration, publishing, security, and Hadoopoptimized deployment.	Anaconda Enterprise opens up the full capabilities of your GPU or multi-core processor to the Python programming language. Common operations like linear algebra, random number generation, FFT and Monte Carlo simulation run faster, and take advantage of multiple cores Identify and remedy performance bottlenecks easily with data, code and in-notebook profilers Includes Bindings to CUDA libraries: cuBLAS, cuFFT, cuSPARSE, cuRAND, and sorting algorithms from the CUB and Modern GPU libraries	Multi-GPU Single Node
Apache Mahout	Apache Mahout A	Mahout is building an environment for quickly creating scalable performant machine learning applications.	Designed to make it extremely easy to add new algorithms. Designed to be distributed instead of single machine.	Multi-GPU Multi Node
Artificial Intelligence Radio Transceiver (AIR-T)	Deepwave Digital	The Artificial Intelligence Radio Transceiver (AIR-T) is software defined radio designed and developed for RF deep learning applications. The AIR-T is equipped with three signal processors including a 256 core NVIDIA Jetson TX2, a field programmable gate array (FPGA), and dual embedded CPUs.	The AIR-T is designed to be an edgecompute inference engine for deep learning algorithms.	N/A
ARYA.ai	ARYA.ai	Deep learning platform with end-to-end workflows for Enterprise. Incorporates TensorFlow. Focusing on consumer banking and insurance industries.	Deep learning platform with end-to-end workflows for Enterprise. Incorporates TensorFlow.	Multi-GPU Multi-Node
Avitas Systems - Inspection as a Service	Avitas Systems	Inspection solution offering enhanced, robotic-based autonomous inspection, advanced predictive analytics, digital inspection data warehousing, and intelligent inspection planning recommendations available in a webbased interface	DL for visual inspection	N/A
BIDMach -	UC Berkeley	The fastest machine learning library available. Holds the record for many common machine learning algorithms. Both BIDMach and its sister library BIDmat were originated at UC Berkley.	Written in Scala and supports Scala and Java interfaces Supports linear regression, logistic regression, SVM, LDA, K-Means and other operations.	Multi-GPU Single Node
Bons.ai	Bons.ai	Bons.ai is an artificial intelligence platform which abstracts away the lowlevel, inner workings of machine learning systems to empower more developers to integrate richer intelligence models into their work.	Easy to use programming interface. Bons.ai has its own programming language called Inkling. Primary focus on reinforcement learning.	Multi-GPU Single Node
C3 Fraud Detection	C3 IoT	C3 IoT is a Platform-as-a-Service for industrial customers including utilities, manufacturing, retail, finance, and healthcare. GPUs consumed exclusively through Amazon AWS. Their first DL use cases targets fraud detection from time series power consumption data.	Deep learning models, including RNNs	Multi-GPU Single Node
Caffe2	Facebook	This is a faster framework for deep learning, it’s forked from BVLC/caffe (master branch). This allows data-parallel via MP	Using the GPU cluster processing mass image data	Multi-GPU Single Node
Chainer	Preferred Networks, Inc.	DL framework that makes the construction of neural networks (NN) flexible and intuitive.	Dynamic NN construction, which makes debugging easier CPU/GPU-agnostic coding, which is promoted by CuPy, partially NumPycompatible multidimensional array library for CUDA Data-dependent NN construction, which fully exploits the control flows of Python without magic	Multi-GPU Multi-Node
Clarifai	Clarifai	Clarifai brings a new level of understanding to visual content through deep learning technologies. Clarifai uses GPUs to train large neural networks to solve practical problems in advertising, media, and search across a wide variety of industries.	GPU-based training and inference Recognizes and indexes images with predefined classifiers, or with custom classifiers	Multi-GPU Single Node
CNTK	Microsoft	Microsoft’s Computational Network Toolkit (CNTK) is a unified computational network framework that describes deep neural networks as a series of computational steps via a directed graph.	Supports many applications, including Speech Recognition, Machine Translation, Image Recognition, Image Captioning, Text Processing and Relevance, Language Understanding, Language Modeling	Multi-GPU Single Node
Databricks cloud	Databricks	Databricks cloud is GPU-accelerated PaaS offering build on top of AWS.	GPU instances available with CUDA drivers included, GPU support provided by Spark scheduler, integration of TensorFlow, Keras TensorFrames data connector Deep learning pipelines/workflows transfer learning and image loading.	Multi-GPU Multi-Node
DeepBench	BaiDu Research	The primary purpose of DeepBench is to benchmark operations that are important to deep learning on different hardware platforms.	DeepBench consists of a set of basic operations (dense matrix multiplies, convolutions and communication) as well as some recurrent layer types Both forward and backward operations are tested This first version of the benchmark will focus on training performance in 32-bit floating-point arithmetic	Multi-GPU Single Node
DeepInstinct	DeepInstinct	Zero day end point malware detection solution offered to enterprise markets.	Zero-day threats & APT attack detection on endpoints, servers and mobile devices	Multi-GPU Single Node
Deeplearning4j	Skymind	Deeplearning4j is the most popular deep learning framework for the JVM, and includes all major neural nets such as convolutional, recurrent (LSTMs) and feedforward.	Integrates with Hadoop and Spark to run distributed Java and Scala APIs Composable framework that facilitates building your own nets Includes ND4J, the Numpy for Java.	Multi-GPU Single Node
Dessa	Dessa	Deep Learning Platform based on TensorFlow. Allows end-to-end workflows. Targeting consumer banking and insurance industries.	Deep learning workflows can be built Based on TensorFlow Use cases in consumer banking and Insurance	Multi-GPU Multi-Node
Dextro	Axon	Dextro’s API uses deep learning systems to analyze and categorize videos in realtime.	Object and scene detection Machine transcription for audio Motion and movement detection.	Multi-GPU Single Node
Gridspace	Gridspace	Voice analytics to turn your streaming speech audio into useful data and service metrics. Instrument your contact call center and work communications today with powerful deep learning-driven voice analytics	Speech-to-text transcription Compliance Call grading Call topic modeling Customer service enhancement Customer churn prediction	N/A
Keras	Open Source	Keras is a minimalist, highly modular neural networks library, written in Python, and capable of running on top of either TensorFlow or Theano. Keras was developed with a focus on enabling fast experimentation.	cuDNN version depends on the version of TensorFlow and Theano installed with Keras Supported Interfaces: Python	Multi-GPU Single Node
Krisp	2Hz	2Hz, Inc is building deep learning based technologies that improve voice audio quality in real-time communications. 2Hz’s Noise Suppression technology doesn’t have multiple-microphone dependency and operates on any audio stream bi-directionally. With this innovation, Telcos and Cloud Communication Service Providers have the opportunity to move the ;voice enhancement; workloads to the network (as opposed to running on the user device) and be in the direct control of the quality of voice services provided.	The benchmark results illustrate that the NVIDIA Turing T4 platform is very promising for the voice processing use case given its price and energy efficiency. As expected, the Tesla V100 provides the most scalability per single GPU.	Single GPU Single Node
MatConvNet	MatConvNet	CNNs for MathWorks MATLAB, allows you to use MATLAB GPU support natively rather than writing your own CUDA code	Building Blocks, Simple CNN wrapper, DagNN wrapper, cuDNN implemented	Multi-GPU Single Node
Matriod	Matriod	Matroid offers video classification service in the cloud. Matroid allows training video detections on a set of images and then applying those video detection. For example, video detectors can be trained to identify Steve Jobs and then search for Steve Jobs appearance anywhere in the video	Matroid is multi-cloud and allows it customers to easily switch between AWS, Azure and Google Cloud.	Multi-GPU Multi-Node
MetaMind	Einstein Platform Services	Provides a deep learning API for image recognition and text sentiment analysis. Uses either prebuilt, public, or custom classifiers.	GPU-based training and inference Recognizes image and analyzes text, creates and trains classifiers with tooling for uploading and managing datasets	Multi-GPU Single Node
MXNet	Amazon	MXnet is a deep learning framework designed for both efficiency and flexibility that allows you to mix the flavors of symbolic programming and imperative programming to maximize efficiency and productivity.	MXnet supports cuDNN v5 for GPU acceleration	Multi-GPU Multi-Node
Neon	Intel	Neon is a fast, scalable, easy-to-use Python based deep learning framework that has been optimized down to the assembler level. Neon features a rich set of example and pre-trained models for image, video, text, deep reinforcement learning and speech applications.	Training, inference and deployment of deep learning models. Process over 442M images per day on a Titan X	Multi-GPU Single Node
NVCaffe	Berkeley AI Research	The Caffe deep learning framework makes implementing state-of-the-art deep learning easy.	Process over 40M images per day with a single NVIDIA K40 or Titan GPU	Single GPU Single Node
PaddlePaddle	PaddlePaddle	PaddlePaddle (PArallel Distributed Deep LEarning) is an easy-to-use, efficient, flexible and scalable deep learning platform, which is originally developed by Baidu scientists and engineers for the purpose of applying deep learning to many products at Baidu.	Optimized math operations through SSE/AVX intrinsics, BLAS libraries (e.g. MKL, ATLAS, cuBLAS) or customized CPU/GPU kernels Highly optimized recurrent networks which can handle variable-length sequence without padding Optimized local and distributed training for models with high dimensional sparse data	Multi-GPU Single Node
Sentient	Sentient	Sentient is an AI platform company with special focus on digital marketing, ecommerce and finance trading applications.	Sentient is using GPU deep learning in its commercially available ecommerce, digital marketing and financial trading applications. Studio.ml is a new project designed to make AI development easier by hiding most of the complexity. Studio. ml runs on-premise and in the cloud.	N/A
SpaceKnow PaaS	SpaceKnow	PaaS for deep learning extraction of satellite data information, targeted at Financial Services and Defense Intelligence Can track macro/microeconomic activity by applying deep learning to satellite images.	• Extracts economic activity from satellite images using deep learning Can provide batch mode extraction	Multi-GPU Multi-Node
Tensorflow	Google	Google’s TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them.	TensorFlow is flexible, portable and performant creating an open standard for exchanging research ideas and putting machine learning in products	Multi-GPU Single Node
Theano	LISA Lab	Theano is a symbolic expression compiler that powers large-scale computationally intensive scientific investigations.	Abstract expression graphs for transparent GPU acceleration	Multi-GPU Single Node
Torch7	Open Source	Torch7 is an interactive development environment for machine learning and computer vision.	Computational back-ends for multicore GPUs.	Multi-GPU Single Node
UETorch	Facebook	It provides an embedded Torch environment within the powerful Unreal Engine 4. This allows one to have deep learning models directly interact with the game world, and paves way for powerful research. An example of doing AI Research using UETorch is for a neural network to learn physics and intuition about the real world.	Game interaction and physics, CUDAoptimized deep learning and neural networks CuDNN supported	Multi-GPU Single Node
Visual Intelligence API	Deep Version	Deep Vision specializes in understanding visual content and getting the most value of data by applying visual recognition for enterprises.	Visual Intelligence API allows leader enterprises in verticals like e-commerce and online auctions, media and entertainment and retailers, to analyze content related with faces, brands and context tags to perform actions like: Curate and organize visual content Search and recommend visually Get insights and analytics visually	N/A

Application name	Company	Product Description	Supported Features	GPU scaling
Advanced Ortho Series	DigitalGlobe	Geospatial visualization	Image orthorectification	Multi-GPU Single Node
ArcGIS Pro	ESRI	Viewshed2 - Determines the raster surface locations visible to a set of observer features, using geodesic methods. Aspect - Determines the compass direction that the downhill slope faces for each location Slope - Determines the slope (gradient or steepness) from each cell of a raster	Viewshed2 - transforms the elevation surface into a geocentric 3D coordinate system and runs 3D sightlines to each transformed cell center. Aspect - The values of each cell in the output raster indicate the compass direction the surface faces at that location. It is measured clockwise in degrees from 0 (due north) to 360 (again due north), coming full circle. Slope - The output slope raster can be calculated in two types of units, degrees or percent (percent rise).	Multi-GPU Single Node
Blaze Terra	Eternix	Geospatial visualization	3D visualization of geospatial data	Multi-GPU Single Node
Elcomsoft	Elcomsoft	High-performance distributed password recovery software with NVIDIA GPU acceleration and scalability to over 10,000 workstations	GPU acceleration for password recovery 10-100x speedup for password recovery	Multi-GPU Single Node
ENVI	Harris	Image Processing and Analytics	Image orthorectification Image transformation Atmospheric correction Panchromatic co-occurrence texture filter	Multi-GPU Single Node
Geomatics GXL	PCI	Image processing	Image orthorectification and additional image processing	Multi-GPU Single Node
GeoWeb3d Desktop	GeoWeb3d	Geospatial visualization of 3D and 2D data; mensuration; mission planning	3D visualization and analysis of geospatial data	Multi-GPU Single Node
Ikena ISR	MotionDSP	Real-time full motion video (FMV) and wide-area motion imagery (WAMI) enhancement and computer-vision-based analytics software for intelligence analysts	Real-time super-resolution-based video enhancement on live streams, geospatial visualization, target detection and tracking, and fast 2-D mapping	Multi-GPU Single Node
LuciadLightspeed	Luciad	Geospatial visualization and analysis	Geospatial situational awareness	Single GPU Single Node
OmniSIG	deepsig.io	The OmniSig sensor provides a new class of RF sensing and awareness using DeepSig’s pioneering application of Artificial Intelligence (AI) to radio systems. Going beyond the capabilities of existing spectrum monitoring solutions, OmniSIG is able to not only detect and classify signals but understand the spectrum environment to inform contextual analysis and decision making. Compared to traditional approaches, OmniSIG provides higher sensitivity and accuracy, is more robust to harsh impairments and dynamic spectrum environments, and requires less computational resources and dynamic range.	The OmniSIG sensor typically operates in a real-time streaming fashion, ingests radio samples from many common radio interfaces, and can make use of packet formats like VITA49 or SDDS. The web-based user interface can be used from any device with a browser, including mobile handsets, and the OmniSIG software also provides its metadata output stream in JSON form for use by other applications.	Multi-GPU Single Node
SNEAK	OpCoast	Electromagnetic signals propagation modeling for complex urban and terrain environments	Ray tracing, DTED and remote sensing inputs.	Multi-GPU Single Node
SocetGXP	BAE Systems	The Automatic Spatial Modeler (ASM) is designed to generate 3-D point clouds with accuracy similar to LiDAR, which can extract 3-D objects from stereo images. ASM can extract dense 3-D point clouds from stereo images, and extract accurate building edges and corners from stereo images with high resolution, large overlaps, and high dynamic range.	Automated 3D feature extraction	Multi-GPU Single Node
Terrabuilder PhotoMesh	Skyline Software	PhotoMesh integrates a GPU-based, fast algorithm, able to automatically build 3D models from simple photographs. PhotoMesh revolutionizes the use of geospatial data by fully automating the generation of high-resolution, textured, 3D mesh models from standard 2D images.	3D model building from imagery; building texture generation.	Multi-GPU Single Node

Application name	Company	Product Description	Supported Features	GPU scaling
ADS Flow Solver - Code LEO	ADSCFD, Inc.	CFD simulation for turbochargers, turbines, and compressors	URANS, structured/unstructured solver, explicit density based	Multi-GPU Multi-Node
Altair AcuSolve	Altair	Computational Fluid Dynamics (CFD) tool, providing users with a full range of physical models. Simulations involving flow, heat transfer, turbulence, and nonNewtonian materials are handled with ease by AcuSolve’s robust and scalable solver technology.	Linear equation solver	Multi-GPU Single Node
ANSYS Fluent	ANSYS	General purpose CFD software	Linear equation solver Radiation heat transfer model Discrete Ordinate Radiation model	Multi-GPU Multi-Node
ANSYS Icepak	ANSYS	CFD software for electronics thermal management	Linear Equation Solver	Multi-GPU Multi-Node
ANSYS Polyflow	ANSYS	CFD software for the analysis of polymer and glass processing	Direct Solvers	Multi-GPU Single Node
Altair nanoFluidX	Altair	State-of-the-art particle-based (SPH) fluid dynamics code for simulation of single and multiphase flows in complex geometries with complex motion. It can be used to predict the oiling in powertrain systems with rotating shafts gears and analyze forces and torques on individual components of the system.	Extremely fast Single and Multiphase Flows Arbitrary motion definition Time-dependent acceleration Inlets/outlets Surface tension and adhesion Steady-state thermal solutions through coupling	Multi-GPU Multi-Node
Altair ultraFluidX	Altair	Simulation tool for ultra-fast prediction of the aerodynamic properties of passenger and heavy-duty vehicles as well as for the evaluation of building and environmental aerodynamics.	CUDA-accelerated high-fidelity flow field computations based on the Lattice Boltzmann method CUDA-aware MPI support for multi-GPU and multi-node usage Efficient implementation of tailor-made automotive features, including rotating wheels, belt systems, boundary layer suction and porous media support	Multi-GPU Multi-Node
CPFD BarracudaVR and Barracuda	CPFD	Fluidized bed modeling software	Linear equation solver, particle calculations	Single GPU Single Node
DYVERSO	Realflow	3D modeling, animation, and rendering	Fluid solver (DY-SPH, DY-PBD)	Single GPU Single Node
EXN/Aero	Envenio	On-demand HPC-cloud CFD solver	Multiphase, heat transfer, buoyancy, multi-grid, concurrent single/double precision, ideal gas, incompressible & compressible flows, RANS/LES/DES, conjugate heat transfer	Multi-GPU Multi-Node
FFT Actran	FFT	Simulation of acoustics propagation at high frequency or in huge domains such as exhaust of turbomachines, full truck cabin exterior acoustics, and ultrasonic parking sensors.	Discontinuous Galerkin Method (DGM) solver	Multi-GPU Single Node
FINE/Turbo	Numeca International		Structured, multi-block, multi-grid CFD solver targeting the turbo machinery industry Multi-grid solver	Multi-GPU Multi-Node
GeoPlat-RS	GridPoint Dynamics (GPD)	Geoplat Pro-RS is a parallel hydrodynamic simulator with a flexible architecture. This enables to reduce the time for writing the entire simulator by 2/3, and, as consequence, to quickly bring new physical processes into the algorithm. Current stage of development: Implementation of BlackOil model; Creation of pre- and post-processing modules (BlackOil model). Implementation of compositional model; Creation of pre- and postprocessing modules (BlackOil model and compositional model).	CUDA, Spectral Decomposition with CUFFT library	Multi-GPU Single Node
HiFUN	SANDI	High Resolution Flow Solver on Unstructured Meshes. State-of-the-art Euler/RANS solver. Super scalability on massively parallel HPC platforms. The code is ported using OpenACC directives for NVIDIA GPU	HiFUN imbibes most recent CFD technologies; many of them home grown HiFUN exhibits highly scalable parallel performance with its ability to scale upto several thousand processors on massively parallel computing platforms Capable of handling complex geometries and flow physics arising in high lift flows	Multi-GPU Single Node
JSCAST	Qualica Inc.	Integrated CAE product for studying and predicting the casting process. Includes high precision mold filling and solidification solvers	Basic module includes pre-/post processors, solvers and material property database. Optional modules include models for mold filling, solidification, casting deformation due to macro-shrinkage or due to the influence of back-pressure	Single GPU Single Node
midas NFX(CFD)	Midas	General purpose CFD software based on FEM	Linear equation solver (Iterative Solver and AMG Preconditioner)	Single GPU Single Node
MIKE 3	DHI	3D Modeling of Coast and Sea	Hydrodynamics, Advection-dispersion, Agent based modeling, underwater acoustic simulator, sand transport, mud transport, particle tracking, oil spill, ecological modeling, agent based modeling.	Multi-GPU Multi-Node
MIKE 21	DHI	2D hydrological modelling of coast and sea	Hydrodynamics Advection-dispersion Sand and mud transport Coupled modelling Particle tracking Oil spill Ecological modelling Agent based modelling Various wave models	Multi-GPU Single Node
MIKE FLOOD	DHI	1D & 2D urban, coastal, and riverine flood modelling	Hydrodynamics	Multi-GPU Single Node
Moldflow	Autodesk	Plastic mold injection software	Linear equation solver	Single GPU Single Node
Numerix	Zeus	Simulation of flow around buildings	Discrete computational technique	Multi-GPU Single Node
Pacefish	Numeric Systems GmbH	CFD application for ground transportation and building aerodynamics	Lattice-Boltzmann Method for singlephase flows transient simulation isothermal modeling integrated fast and robust preprocessor for complex geometries local grid refinement uRANS (K-Omega-SST), hybrid uRANSLES (SST-DDES & SST-IDDES) LES (Smagorinsky) turbulence modeling	Multi-GPU Single Node
Particleworks	Prometech	CFD software using MPS (Moving Particle Simulation) method for automotive, energy, material, chemical processing, medical, food, and civil engineering industries where free surface fluid flow and fluid mixing phenomena occur.	viscosity model, viscosity/pressure term solution, turbulence model, airflow, surface tension model, rigid body, thermal properties, external force and aeration. boundary conditions: particle wall, polygon wall, inflow and outflow boundary, simulation domain, and pump.	Multi-GPU Multi-Node
PowerViz	Exa	Industry proven, modern post-processing app for EXA POWERFLOW CFD	Rendering Ray tracing	Multi-GPU Single Node
Siemens STARCCM+	Siemens PLM	Post-processing for CFD-focused multiphysics simulation	Rendering	Single GPU Single Node
Simcenter 3D	Siemens PLM Software	Industry proven, modern pre- & postprocessing app for multidiscipline CAE	Rendering Raytracing	Multi-GPU Single Node
Speed IT FLOW	Vratis	Incompressible single-phase CFD software	Finite-volume solver: Simple and piso, incompressible single-phase flows with k-OmegaSST turbulence	Single GPU Single Node
Turbostream	Turbostream Ltd.	CFD software for turbomachinery flows	Explicit solver	Multi-GPU Multi-Node
zCFD	Zenotech Simulation Unlimited	General purpose CFD solver	General purpose CFD solver	Multi-GPU Single Node

Application name	Company	Product Description	Supported Features	GPU scaling
3ds Max	Autodesk	3D modeling, animation, and rendering	Faster interactive graphics Availability of Arnold with AI denoising Availability of Chaos V-Ray, Otoy Octane, Redshift, cebas finalRender third-party GPU renderers	Multi-GPU Single Node
Agisoft PhotoScan	AGI Soft	Agisoft PhotoScan is a stand-alone software product that performs photogrammetric processing of digital images and generates 3D spatial data to be used in GIS applications, cultural heritage documentation, and visual effects production as well as for indirect measurements of objects of various scales.	CUDA-accelerated photogrammetry solution	Multi-GPU Single Node
Altair Thea Render	Altair	Physically-based progressive spectral CPU/GPU Renderer supporting fast interactive changes and bucket rendering for high resolution images	GPU-accelerated hybrid renderer Advanced material layering system with subsurface scattering, displacement mapping, physical sun-sky and IES support	Multi-GPU Single Node
Blender	Blender Inst	3D modeling, rendering and animation	GPU-accelerated viewport	Single GPU Single Node
Blender Cycles	Blender Inst.	GPU renderer	CUDA-accelerated rendering	Multi-GPU Single Node
Cinema 4D	Maxon	3D modeling, animation, and rendering	Increased model complexity at interactive rates Support for Chaos V-Ray, Otoy Octane and Redshift third-party GPU renderers Accelerated ProRender GPU rendering	Single GPU Single Node
DAZ Studio	Daz3D	Powerful and free 3D creation software tool that is not only easy to use but rich in features and functionality. Whether you are a novice or proficient 3D artist or 3D animator, Daz Studio enables you to create amazing 3D art.	Iray Interactive Iray Photoreal MDL support	Multi-GPU Single Node
finalRender	Cebas	GPU renderer	CUDA-based GPU rendering	Multi-GPU Single Node
FurryBall	AAA Studio	GPU renderer	NVIDIA OptiX and DirectX GPU rendering	Single GPU Single Node
HIERO Player	Foundry	Shot management, conform and review timeline	Fluid, interactive playback	Single GPU Single Node
Houdini	SideFX	Procedural 3D modeling, animation and rendering	Faster simulations	Multi-GPU Single Node
Indigo	Glare Technology	Unbiased, physically-based renderer.	GPU-accelerated rendering.	Multi-GPU Single Node
KATANA	The Foundry	Powerful look development and lighting tool	Faster interactive graphics	Single GPU Single Node
Kilton/Megaton	Blastcode	Physics-based simulation plug in	Faster simulation	Single GPU Single Node
Lightwave	NewTek	3D modeling, animation, and rendering	Increased model complexity at interactive rates	Single GPU Single Node
LuxRender	LuxRender	GPU 3D Renderer	GPU-accelerated ray tracing	Single GPU Single Node
MARI	The Foundry	3D paint tool allows painting directly onto 3D models	Faster interactive painting	Single GPU Single Node
Mantra	SideFX	Houdini Mantra renderer	Much faster interactive rendering using OptiX AI de-noising	N/A
Maxwell	Next Limit	CUDA-accelerated interactive and finalframe renderer	unrestricted image resolution network rendering de-noising	Multi-GPU Single Node
Maya	Autodesk	3D modeling, animation, and rendering	Increased model complexity, larger scenes Availability of Chaos V-Ray, Otoy Octane and Redshift third-party GPU renderers	Single GPU Single Node
MODO	Foundry	3D modeling, animation and rendering	Increased model complexity, larger scenes	Single GPU Single Node
Motion Builder	Autodesk	Character animation and motion capture	Increased model complexity at interactive rates	Single GPU Single Node
Mudbox	Autodesk	3D sculpting	Increased model complexity at interactive rates	Single GPU Single Node
Octane Render	Otoy	CUDA-accelerated GPU renderer	GPU rendering	Multi-GPU Single Node
Realflow	Next Limit	Fluid simulation system	GPU-accelerated simulation	Single GPU Single Node
RealityCapture	Capturing Reality	Photogrammetry	CUDA-accelerated, fast photogrammetry	Multi-GPU Single Node
Redshift Renderer	Redshift	GPU-accelerated, biased renderer	CUDA-based GPU final-frame rendering Mac and Windows supported	Multi-GPU Single Node
Sculptris	Pixologic	3D sculpting	Increased model complexity at interactive rates	Single GPU Single Node
TurbulenceFD	Jawset	Voxel-based gaseous fluid dynamics plug-in	12X performance boost using NVIDIA GPUs	Single GPU Single Node
Twinmotion	Abvent	AEC project review/phasing/marketing showcase including VR viewer with mulit CAD/BIM/AEC import and a simple to use interface but powered by UE4	UE4 PBR material VR experience	Single GPU Single Node
V-Ray GPU	Chaos Group	GPU renderer with CPU Hybrid rendering	CUDA interactive and final-frame GPU rendering	Multi-GPU Single Node
ARRI de-bayering SDK	ARRI	RAW de-bayering SDK	De-bayering of ARRI RAW and primary color grading.	Single GPU Single Node
Baselight	FilmLight	Color grading	Real-time color correction	Multi-GPU Single Node
Cinema RAW SDK	Canon	RAW de-bayering	GPU-accelerated de-bayering	Single GPU Single Node
DaVinci Resolve	Blackmagic Design	Color grading and editing	Real-time color correction and denoising	Multi-GPU Single Node
Dark Energy	Cinnafilm	Application and plug-in for image enhancement	Image de-noising and restoration	Multi-GPU Single Node
Diamant-Film Restoration	HS-Art	Film cleanup and restoration	CUDA accelerated optical flow, deflicker, in-painting and over 30 filters	Multi-GPU Single Node
Effects Suite	Red Giant	Visual effects plug-in	Faster effects	Single GPU Single Node
Grain and Noise Reducer	Wavelet Beam	Video noise reduction	CUDA-accelerated grain and noise reduction	Multi-GPU Single Node
HDR Image Analyser	aja	A 1RU waveform, histogram, vectorscope and Nit-level HDR monitoring solution for HD, UltraHD, 2K and HD resolution with HDR and WCG content.	Precise, high quality UltraHD UI for native-resolution picture display Advanced out of gamut and out of brightness detection with error intolerance Support for SDR (Rec.709), ST2084/PQ and HLG analysis CIE graph, Vectorscope, Waveform, Histogram Out of gamut false color mode to easily spot out of gamut/out of brightness pixels Data analyzer with pixel picker Up to 4K/ UltraHD 60p over 4x 3G-SDI inputs SDI auto signal detection File base error logging with timecode Display and color processing look up table (LUT) support Line mode to focus a region of interest onto a single horizontal or vertical line Loop through output to broadcast monitors Still store Nit levels and phase metering Built-in support for color spaces from ARRI, Canon, Panasonic, RED and Sony	N/A
Magic Bullet Looks	Red Giant	Color and finishing tools	Faster effects	Single GPU Single Node
Mist	Marquise Technologies	Mastering tool for cinema, broadcast and over-the-top content	CUDA-accelerated de-bayering, color grading, transcoding and image enhancement	Multi-GPU Single Node
Nucoda	Digital Vision	Color grading	GPU-accelerated color grading	Single GPU Single Node
Pablo family	Grass Valley	Color grading and finishing	Real time color correction	Multi-GPU Single Node
PFClean	The Pixel Farm	Image restoration and remastering	CUDA-based image processing acceleration	Multi-GPU Single Node
RAW Converter	ARRI	RAW de-Bayering and primary color grading	CUDA-accelerated de-bayering and primary grading	Single GPU Single Node
REDCINE-X PRO	Red Digital Cinema	Primary color grading	CUDA-accelerated de-bayering and primary color grading	Single GPU Single Node
Red Digital Cinema R3D SDK	Red Digital Cinema	Red Digital Cinema camera SDK decodes and de-bayers Red RAW camera data and allows primary color grading. It is used by many color grading and video editing applications.	CUDA accelerated wavelet decoding and de-bayering	Single GPU Single Node
Scratch	Assimilate	Color grading and finishing	Accelerated debayering for real-time digital finishing	Single GPU Single Node
SpeedGrade CC	Adobe	Color grading	Real-time grading and finishing with Lumetri Deep Color Engine	Single GPU Single Node

Application name	Company	Product Description	Supported Features	GPU scaling
aidoc	Aidoc Medical	AI based decision support software analyzing medical imaging to provide solutions for detecting acute abnormalities across the body, helping radiologists prioritize life threatening cases and expedite patient care. Agnostic to PACS and RIS systems	classification and segmentation using deep learning on top of any PACS platform	N/A
Centricity Universal Viewer	General Electric	PACS Featuring a single image repository across 2D and 3D studies, Centricity Universal Viewer intuitively brings together the tools needed by radiologists, cardiologists and other clinicians to provide enterprise-wide access on a single desktop.	Intelligent productivity tools, Advanced visualization applications, An advanced mammography workflow, Cross Enterprise Display, Advanced Cardiology tools, Access from anywhere1 Image enable your EMR.	N/A
deepflow	Helmholtz Zentrum München	Deep learning tool for reconstructing cell cycle and disease progression using deep learning from flow cytometry data.	Tool will show that deep convolutional neural networks combined with nonlinear dimension reduction enable reconstructing biological processes based on raw image data. Tool will demonstrate this by reconstructing the cell cycle of Jurkat cells and disease progression in diabetic retinopathy. In further analysis of Jurkat cells, Tool will detect and separate a subpopulation of dead cells in an unsupervised manner and, in classifying discrete cell cycle stages, Tool will reach a sixfold reduction in error rate compared to a recent approach based on boosting on image features. In contrast to previous methods, deep learning based predictions are fast enough for on-the-fly analysis in an imaging flow cytometer. Uses MXNet, cv2, numpy, python3	Single GPU Single Node
Ibex Decision Support	IBEX	Through digitalized pathology - they run DL on prostate cancer pathology and update if there was anything cancerous found. combine data from digitized glass slides and electronic medical records to reveal underlying patterns and extract valuable clinical insights that can transform how pathology and oncology are practiced and propel them into the information age.	-	Single GPU Single Node
IntelliSpace	Phillips	PACS	-	N/A
iNtuition iEMV	Terarecon, Inc.	Advanced Image Post-Processing	-	N/A
JiveX	VISUS Health IT	free DICOM Viewer provides comparable functionality as the JiveX Review Client such as measuring tools, zoom, etc. The hanging protocols, which are less relevant outside the clinical setting, are not available.	-	N/A
PowerGrid	University of Illinois UrbanaChampaign	Advanced MRI reconstruction modeling	Discrete Fourier Tranform	Multi-GPU Single Node
RadiAnt	Medixant	RadiAnt DICOM Viewer provides basic tools for the manipulation and measurement of images	Fluid zooming and panning, Brightness and contrast adjustments, negative mode, Preset window settings for Computed Tomography (lung, bone, etc.), Ability to rotate (90, 180 degrees) or flip (horizontal and vertical) images, Segment length, Mean, minimum and maximum parameter values (e.g. density in Hounsfield Units in Computed Tomography) within circle/ellipse and its area, Angle value (normal and Cobb angle), Pen tool for freehand drawing	N/A
Radiology Assist	Zebra Imaging	Receives imaging scans from various modalities and automatically analyzes them for a number of different clinical findings. Findings are provided in real time to radiologists or other physicians and hospital systems as needed.	Classification and segmentation on top of any PACS platform	N/A
SYNAPSE	Fujifilm Corporation	-	-	N/A
Visage 7	Pro Medicus, Ltd.	DICOM viewer, also referred to as: enterprise viewer, a universal viewer (UniViewer), or an archive neutral viewer	-	N/A
Vitrea Vision	Vital Images	Advanced Image Post-Processing	-	N/A

Application name	Company	Product Description	Supported Features	GPU scaling
6X	Ridgeway Kite	Reservoir Simulation on Tesla	CUDA Simulation Parallelization	N/A
AISight for SCADA	BRS Labs	Proactive integrity management and real-time precursor alerts for enhanced SCADA operations in oil and gas.	24/7 real-time analysis and alerting scaling to thousands of sensors across remote and geographically dispersed locations including historical analysis and trend reports.	Multi-GPU Single Node
AxRTM	Acceleware	Reverse Time Migration Software	CUDA accelerated libraries for building RTM software	Multi-GPU Multi-Node
DecisionSpace	Halliburton (Landmark)	E&P platform for geoscience, well planning, drilling, earth modeling	CUDA acceleration of fault extraction	Multi-GPU Single Node
Echelon	Stoneridge Technology	Reservoir simulator	Fully GPU-accelerated reservoir model, including dual-perm, dual porosity, pressure varying perm and porosity Eclipse compatible input deck	Multi-GPU Multi-Node
GeoDepth	Emerson	Seismic Interpretation Suite	CUDA-accelerated RTM	Multi-GPU Multi-Node
Geoteric	Geoteric	Seismic interpretation	Attributes calculations Geobodies extraction	Multi-GPU Single Node
Graydient S (SCADA)	Giant Grey	Machine learning anomaly detection for large scale industrial data.	Proactive integrity management and real-time precursor alerts for enhanced SCADA operations in oil and gas 24/7 real-time analysis and alerting scaling to thousands of sensors across remote and geographically dispersed location	Multi-GPU Single Node
HUESpace	Bluware	Library SDK toolkit for creating applications for seismic compression and seismic/ geospatial imaging and interpretation	CUDA acceleration for compression and large-scale visualization	Multi-GPU Single Node
InsightEarth	CGG	Seismic Interpretation Suite	OpenCL acceleration for AFE and 3D Curvature attributes	Multi-GPU Single Node
Omega2 RTM	Schlumberger	Seismic processing	Multiple algorithms (RTM, etc)	Multi-GPU Multi-Node
PumaFlow IFP	Beicip-Franlab	Reservoir simulation	GPU-accelerated linear solver	Multi-GPU Single Node
Roxar RMS	Emerson	Reservoir modeling	Multi GPU capabilities via HUEspace	Multi-GPU Single Node
RTM	Tsunami	Seismic processing	RTM algorithm	Multi-GPU Multi-Node
Seismic City RTM	Seismic City	RTM Seismic Processing	CUDA acceleration	Multi-GPU Multi-Node
SKUA	Emerson	Reservoir modeling	Faults, Horizons and Flow Simulation Grid	Multi-GPU Single Node
tNavigator []	Rock Flow Dynamics (RFD)	tNavigator Solver is a software package, offered as a single executable, which allows to build static and dynamic reservoir models, run dynamic simulations, calculate PVT properties of fluids, build surface network model, calculate lifting tables, and perform extended uncertainty analysis as a part of one integrated workflow.	CUDA, Pascal/Volta architecture, MultiNode GPU	Multi-GPU Multi-Node
VoxelGeo	Emerson	Seismic Interpretation Package	Multi-GPU volume rendering Horizon-flattening Attribute calculations	Multi-GPU Single Node

Application name	Company	Product Description	Supported Features	GPU scaling
Arioc	Johns Hopkins University	High-throughput read alignment with GPU-accelerated exploration of the seedand-extend search space	Single-end alignment, paired-end alignment Output in SAM or database-ready binary formats Multiple GPU implementation	Multi-GPU Single Node
BarraCUDA	University of Cambridge Metabolic Research Labs	Sequence mapping software	Alignment of short sequencing reads, alignment of indels with gap openings and extensions.	Multi-GPU Multi-Node
BEAGLE-lib	Open Source	BEAGLE is a high-performance library that can perform the core calculations at the heart of most Bayesian and Maximum Likelihood phylogenetics packages. It can make use of highly-parallel processors such as those in graphics cards (GPUs) found in many PCs.	Evaluation of likelihood for sequence evolution on trees and Arbitrary models (e.g. nucleotide, amino acid, codon) Speed-ups (over CPU only version): nucleotide model = up to 25x, codon model = up to 50x	Multi-GPU Single Node
BQSR	Parabricks	Base Quality Score Recalibration is a data pre-processing step that detects systematic errors made by the sequencer when it estimates the quality score of each base call.	-	Single GPU Single Node
BWA-Mem	Parabricks	-	-	N/A
Campaign	SimTK	An open-source library of GPUaccelerated data clustering algorithms and tools.	K-means (and Kps-means, a K-means variant for GPUs with parallel sorting for improved performance) K-medoids K-centers (a K-medoids variant in which medoids are placed only once according to a heuristic) Hierarchical clustering and Selforganizing map	Multi-GPU Multi-Node
CUDASW++	Open Source	Open source software for SmithWaterman protein database searches on GPUs.	Parallel search of Smith-Waterman database.	Multi-GPU Single Node
CUSHAW	Open Source	Parallelized short read aligner	Parallel, accurate long read aligner for large genomes	Multi-GPU Single Node
G-BLASTN	Hong Kong Baptist University	GPU-accelerated nucleotide alignment tool based on the widely used NCBIBLAST.	Blastn and megablast modes of NCBIBLAST	Single GPU Single Node
GHOST-Z GPU	Akiyama_ Laboratory, Tokyo Institute of Technology	Sequence homology search tool.	Good for Shotgun Metagenome Analysis.	Multi-GPU Multi-Node
GPU-Blast	Carnegie Mellon University	Local search with fast k-tuple heuristic	Protein alignment according to BLASTP	Single GPU Single Node
mCUDA-MEME	Open Source	Ultrafast scalable motif discovery algorithm based on MEME.	Scalable motif discovery algorithm based on MEME	Multi-GPU Single Node
MUMmer GPU	Open Source	High-throughput local sequence alignment program	Aligns multiple query sequences against reference sequence in parallel	Single GPU Single Node
NVBIO	Open Source	NVBIO is an open source C++ library of reusable components designed to accelerate bioinformatics applications using CUDA.	Data structures, algorithms, and utility routines useful for building complex computational genomics applications on CPU-GPU systems	Multi-GPU Single Node
NVBowtie	Open Source	A largely complete implementation of the Bowtie2 aligner on top of NVBIO.	Good coverage of Bowtie2 features and comparable quality results	Multi-GPU Single Node
PEANUT	Open Source	Read mapper for DNA or RNA sequence reads to a known reference genome.	Achieves supreme sensitivity and speed compared to current state of the art read mappers like BWA MEM, Bowtie2 and RazerS3 PEANUT reports both only the best hits or all hits	Single GPU Single Node
REACTA	Open Source	A modified version of GCTA with improved computational performance, support for Graphics Processing Units (GPUs), and additional features. The purpose of REACTA is to quantify the contribution of genetic variation to phenotypic variation for complex traits.	GRM creation, REML analysis, Regional Heritability (including multi-GPU)	Multi-GPU Single Node
SOAP3	Genomics	GPU-based software for aligning short reads with a reference sequence. It can find all alignments with k mismatches, where k is chosen from 0 to 3.	Short read alignment tool that is not heuristic based; reports all answers.	Multi-GPU Multi-Node
SOAP3-dp	The University of Hong Kong	SOAP3-dp: Ultra-fast GPU-based tool for short read alignment via index-assisted dynamic programming.	Borrows-Wheeler Transformation, Dynamic Programming	Multi-GPU Single Node
SeqNFind	Accelerated Technology Laboratories	SeqNFind is a powerful tool suite that addresses the need for complete and accurate alignments of many small sequences against entire genomes utilizing a unique hardware/ software cluster system for facilitating bioinformatics research in Next Generation sequencing and genomic comparisons.	Hardware and software for reference assembly, blast, SW, HMM, de novo assembly	Multi-GPU Single Node
Synomics Studio	Row Analytics	Multi-Omics Biomarker Network Discovery and ValidationSynomics Studio is a new, highly scalable analysis platform that enables researchers and clinicians to discover novelassociations between multiple genotypic, phenotypic and clinical attributes of their patients and their disease risk /therapy responses.	Multi-SNP association studies (GWAS studies with up to 30 SNPs/SNVs in combination) Configurable number of cycles of fully random permutation for validation of SNP networks Speed-up on GPU = 170x vs multi-core CPU alone (further speedup available on multi-GPU and NVLink devices) Representative performance for 15,000 case:controls, 200,000 SNPs 2 SNP associations found and validated in 12 mins on single 20 core IBM POWER8NVL with 4x Tesla P100 GPU 2 SNP associations found and validated in 12 mins on single 20 core IBM POWER8NVL with 4x Tesla P100 GPU	Multi-GPU Single Node
UGene	Unipro	Open source Smith-Waterman for SSE/ CUDA, Suffix array based repeats finder and dotplot.	Fast short read alignment	Multi-GPU Single Node
WideLM	Open Source	Fits numerous linear models to a fixed design and response.	Parallel linear regression on multiple similarly-shaped models	Multi-GPU Single Node

Application name	Company	Product Description	Supported Features	GPU scaling
AI-NVR	IronYun	Search in Video	Search in Video	N/A
Alert	Irvine Sensors	Alert provides people counting and intrusion detection	People counting, Intrusion detection	N/A
Arvas	VI Dimensions	-	-	N/A
Better Tomorrow	Anyvision	Face recognition for multiple industries	Face recognition	Multi-GPU Single Node
BioSurveillance NEXT, BioFinder	Herta Security	Real time facial recognition and forensic alerts against multiple watchlists.	Supports crowded scenes, difficult lighting, faster than real-time analysis, partial face concealment	Multi-GPU Single Node
Cezurity EVO	Cezurity	Event Observer (EvO): engine for detecting malicious activity on user computers. Centralized detection engine; Event chains; Context; Real-time analysis - Cezurity Cloud: Cloud-based technology for detecting malware. Cezurity Cloud has the flexibility to fit into diverse solutions. Different information can be sent and processed by the server, depending on the needs of each product or solution. For example, Cezurity Cloud is currently used as a subsystem to supply data for the Cezurity EvO detection engine. Cezurity Cloud helps the Anti-Virus Scanner to detect malware. In addition, the technology is used for monitoring and analyzing changes in our APT-D solution designed to detect persistent threats against corporate networks.	CUDA	Multi-GPU Single Node
Cylance	Cylance	Advanced AI-based end point malware detection	End point malware detection solution build using GPU deep learning technology	Multi-GPU Single Node
Discover Experiencer	Viisights	-	-	N/A
Face++	Megvii	Face Recognition for many verticals	Face Recognition	N/A
FaceControl	VOCORD	Detects and recognizes the faces of people, freely passing-by cameras, providing an instant alert to people on a watchlist, recognizes age and gender, counts people by faces, tags newcomers and regular visitors. The system uses deep neural network algorithms and performs recognition with extremely high accuracy in field applications.	Non-cooperative biometrical facial recognition system, ALPR, video analytics and pattern recognition, video processing and video enhancement	Multi-GPU Single Node
FindFace Enterprise Server SDK	NTechLab	Powered by Ntechlab face recognition algorithm, FindFace Enterprise Server SDK effectively processes face recognition and works on the client, no biometric data is transferred or stored by NtechLab. It detects and identifies people faces in live video streams and video footage addressing a wide range of business tasks, such as precise people count, demographic information, people flow and client behavior. FindFace Enterprise Server SDK allows for integration into any web, mobile, or desktop application using the cross-platform REST API. The FindFace Enterprise Server SDK 2.0 can be widely applied in a variety cases, including customer analytics, client verification, fraud prevention, hospitality, and access control.	CUDA, NVDec, DeepStream (testing)	Multi-GPU Single Node
Glueck Media; Glueck Analytics	Glueck	Deep Learning/Machine Learning based Computer Vision technology enabling understanding of how human feels and perceives the environment around them, focusing on face and people analytics.	Specific features supported includes; Facial Expression, Age Estimation, Gender, Ethnicity, Multi Face Tracking, Attention Time	Multi-GPU Single Node
Graydient V (Video)	Giant Grey	Machine learning anomaly detection for enhanced video analytics.	Proactive event detection and real-time alerts for safety, unauthorized access prevention, and loss prevention 24/7 real-time analysis and alerting scaling to thousands of video streams across remote and geographically dispersed locations	Multi-GPU Single Node
Ikena Forensic, Ikena Spotlight	MotionDSP	Real-time (render-less) super-resolutionbased video enhancement and redaction software for forensic analysts and law enforcement professionals	Multi-filter, render-less video reconstruction (super-resolution, stabilization, light/color correction), and automatic tracking for redaction video from body cameras, CCTV and other sources	Multi-GPU Single Node
iMotionFocus	iCetana	Intelligent analysis of video on 1,000+ camera streams to significantly filter and reduce the camera streams requiring an operator view.	GPU accelerated machine learning to identify abnormal activity within video streams	Multi-GPU Single Node
innovi	Agent Video Intelligence (Agent Vi)	Agent Video Intelligence’s (Agent Vi) solutions allow users to achieve optimal value from their video surveillance networks by automating video analysis to detect and alert for events of interest, expedite search in recorded video and extract statistical data from the footage captured by surveillance cameras	The solution provides real-time video analysis and alerts, video search and investigation, big data analysis, geospatial mapping and more	N/A
LUNA	VisionLabs	LUNA PLATFORM is a biometric data management system for facial verification and identification. The platform offers a great flexibility to create scenarios of varying complexity for integrated facial recognition on GPU. LUNA SDK, a facial recognition engine developed by VisionLabs, is the core technology of the LUNA PLATFORM.	Face detection, face alignment, facial descriptor extraction, face matching, facial attribute classification and face spoofing prevention. Optimized scalability using multithreading; Computationally efficient and compact face descriptors; Broad range of working conditions with domain-specific face descriptors	Multi-GPU Single Node
Nodeflux IVA	Nodeflux	Nodeflux’s IVA products and services cover wide range of sector including but not limited to smart city, defense and security, traffic management, toll management, store analytic (wholesale and retail), asset and facilities management, advertising, and transportation.	Specific product feature includes, face recognition, license plate recognition, traffic violation detection,Traffic monitoring, and flood monitoring. More such IVA Functions are being added with customer needs.	Multi-GPU Single Node
OpenALPR	OpenALPR	Automatic license plate and vehicle make/ model/year recognition software applied to video streams from IP cameras.	High accuracy license plate character recognition spanning North America, Europe, United Kingdom, Australia, Korea, Singapore and Brazil APIs and source code available for embedded applications and web services	Multi-GPU Single Node
Recotraffic; Recosecure; Recohospital	Recogine	Intelligent Transportation Systems covering complex multi-modal surface transportation solutions at a regional, sub-regional, corridor and small area level using deep computer vision technologies.	Traffic Data Collection, Incident Detection, Integrated Management, Vehicle Classification and supporting related application	Multi-GPU Single Node
SenDISA Platform	Sensen Networks	SenSen provides Video-IoT data analytic software solutions targeted at increasing revenue and reducing the cost of operations of customers. SenSen software can process and fuse data from cameras and other sensors like GPS, Radar, and Lidar in real time for parking guidance, parking enforcement, speed enforcement, traffic data analytics and road safety applications. Casinos use SenSen solutions for table game analytic solutions and customer analytics. SenSen solutions are also used in retail, security and tolling applications.	Intelligent Transportation - parking enforcement Casino game table analytics	N/A
SenseFace	Sensetime	Improved security and operations by turning video data into useful information. Based on Video Synopsis technology, Syndex Pro allows users to review hours of video in minutes, while applying search filters for achieving accurate results and faster time-to-target. Data can be processed on-demand or in real time to support a wide range of use cases.	Review hours of video in minutes, Search in Video	N/A
XIntelligence XHound XTransport	Xjera Labs	AI-based image and video analytics solution. This solution is ideal for people counting and recognition and vehicle counting for various commercial applications, with proven accuracy, highlevel customization, and robust security.	People counting, face recognition, license plate recognition	N/A
Xpose	Lentix	-	-	N/A

Application name	Company	Product Description	Supported Features	GPU scaling
Allinea Forge	Allinea now owned by ARM Ltd	Allinea Forge Professional provides all you will need to debug, profile and optimize for high performance - from single threads through to complex parallel HPC and scientific codes with MPI, OpenACC, OpenMP, threads or NVIDIA CUDA	CUPTI, cudagdb	Multi-GPU Multi-Node
Altair PBS Professional	Altair	Fast, powerful workload manager designed to improve productivity, optimize utilization & efficiency, and simplify administration for HPC clusters, clouds and supercomputers. PBS Professional automates job scheduling, management, monitoring and reporting.	Commonly requested capabilities that are supported: - GPU auto discovery - Specify GPU count per CPU - Specify GPU type - GPU/CPU affinity - GPU awareness and equality in accounting, quotas, and fair share - GPU/CPU syntax/scheduling equivalence - Specify memory use per GPU - Add-on/ integration project with NVIDIA’s Data Center GPU Management (DCGM); GPU health checks & detailed accounting	Multi-GPU Multi-Node
Bright Cluster Manager	Bright Computing	Bright Cluster Manager lets you administer clusters as a single entity, provisioning the servers, GPUs, operating system, and workload manager from a unified interface. We make it easy to build an NVIDIA GPU cluster by packaging all the relevant software including CUDA, NVIDIA driver, DCGM, NCCL, and a full deep learning stack. With Bright, you can configure GPUs individually or in groups, which is a real time saver for those with a large cluster. You can even set properties on your NVIDIA GPUs using BrightView. Once up and running, we monitor GPU metrics and run GPU health checks to make sure everything is working as it should. Bright makes managing GPU clusters easy	Intuitive web app provides comprehensive view of GPU and cluster metrics Powerful Cluster Management Shell as alternative user interface Fully Support for NVIDIA libraries, CUDA, OpenCL, OpenACC, CUDA-aware libraries, NCCL, and CUB Comprehensive monitoring of GPU Brings in GPU resources from public (AWS, Azure) and private (OpenStack) clouds within minutes Automated scaling of the cluster based on pre-defined policies Supports several popular Linux distributions: RHEL and derivatives, SUSE SLES and Ubuntu LTS GPU-enabled Docker containers Offers a complete deep learning stack Deployment for popular HPC filesystems and management of fast interconnects	Multi-GPU Multi-Node
cmake	Kitware	CMake is an open-source, cross-platform family of tools designed to build, test and package software. CMake is used to control the software compilation process using simple platform and compiler independent configuration files, and generate native makefiles and workspaces that can be used in the compiler environment of your choice. The suite of CMake tools were created by Kitware in response to the need for a powerful, cross-platform build environment for open-source projects.	-	N/A
ELPA	Max Planck Institute	The publicly available ELPA library provides highly efficient and highly scalable direct eigensolvers for symmetric matrices. Though especially designed for use for PetaFlop/s applications solving large problem sizes on massively parallel supercomputers, ELPA eigensolvers have proven to be also very efficient for smaller matrices.	improved one-step ScaLAPACK-type solver ELPA1 and novel two-step solver ELPA2	Multi-GPU Multi-Node
HPCtoolkit	Rice University	HPCToolkit is an integrated suite of tools for measurement and analysis of program performance on computers ranging from multicore desktop systems to the nation’s largest supercomputers.	CUPTI	Multi-GPU Multi-Node
IBM Spectrum LSF	IBM Corporation	IBM Spectrum LSF is a complete workload management solution for demanding HPC environments. Featuring intelligent, policydriven scheduling, it helps organizations to improve competitiveness by accelerating research and design while controlling costs through superior resource utilization and ease of use. Building on over 20 years of experience, IBM Spectrum LSF features a highly scalable and available architecture designed to address the challenge of aligning compute resources with business priorities. With the ability to detect, monitor and schedule GPU enabled workloads to the appropriate resources, IBM Spectrum LSF enables users to easily take advantage of the benefits provided by GPUs	Enforcement of GPU allocations via cgroups Exclusive allocation and round robin shared mode allocation CPU-GPU affinity Boost control Power management Multi-Process Server (MPS) support NVIDIA Volta and DCGM support	Multi-GPU Multi-Node
Magma	ICL - University of Tennessee Knoxville	The MAGMA project aims to develop a dense linear algebra library similar to LAPACK but for heterogeneous/hybrid architectures, starting with current “Multicore+GPU” systems. The MAGMA research is based on the idea that, to address the complex challenges of the emerging hybrid environments, optimal software solutions will themselves have to hybridize, combining the strengths of different algorithms within a single framework. Building on this idea, we aim to design linear algebra algorithms and frameworks for hybrid manycore and GPU systems that can enable applications to fully exploit the power that each of the hybrid components offers.	-	Multi-GPU Single Node
open\|SpeedShop	Krell Institute	Open\|SpeedShop (O\|SS) is an open source multi-platform performance tool enabling performance analysis of HPC applications running on both single node and large scale platforms. O\|SS gathers and displays several types of information to aid in solving performance problems, including: program counter sampling for a quick overview of the applications performance, call path profiling to add caller/callee context and locate critical time consuming paths, access to the machine hardware counter information, input/output tracing for finding I/O performance problems, MPI function call tracing for MPI load imbalance detection, memory analysis, POSIX thread tracing, NVIDIA CUDA analysis, and OpenMP analysis. O\|SS offers a command-line interface (CLI), a graphical user interface (GUI) and a python scripting API user interface.	CUPTI	Multi-GPU Multi-Node
PAPI	ICL - University of Tennessee Knoxville	PAPI provides the tool designer and application engineer with a consistent interface and methodology for use of the performance counter hardware found in most major microprocessors. PAPI enables software engineers to see, in near real time, the relation between software performance and processor events. In addition, PAPI provides access to a collection of components that expose performance measurement opportunites across the hardware and software stack.	CUPTI	Multi-GPU Multi-Node
Parallware Trainer	Appentra Solutions	Parallware Trainer is the new interactive, real-time editor with GUI features to facilitate the learning, usage, and implementation of parallel programming. Users are actively involved in learning parallel programming through observation, comparison, and hands-on experimentation. Parallware Trainer provides support for widely used parallel programming strategies using OpenACC and OpenMP with execution on multicore processors and GPUs.	-	N/A
SLURM	SchedMD	SLURM is a highly configurable open source workload and resource manager. In its simplest configuration, Slurm can be installed and configured in a few minutes. Use of optional plugins provides the functionality needed to satisfy the needs of demanding HPC centers with diverse job types, policies and work flows. Advanced configurations use plug-ins to provide features like accounting, resource limit management, by user or bank account, and support for sophisticated scheduling algorithms.	Scales to millions of cores and tens of thousands of GPGPUs Military grade security Heterogenous platform support allowing users to take advantage of GPGPUs. Flexible plugin framework enables Slurm to meet complex customization requirements Topology aware job scheduling for maximum system utilization Extensive scheduling options including advanced reservations, suspend/resume, backfill, fair-share and preemptive scheduling for critical jobs No single point of failure	Multi-GPU Multi-Node
Taranis	Taranis	Our deep learning engine use bleeding edge math models and hardware platforms on the cloud and has been trained by over 60 expert agronomists providing more than 1,000,000 examples of crop health issues	report plant population to farmers, regardless of growth stage of the crop detect when a weed emerges in the field and constitutes a potential threat to the yield and then classifies it calculate the amounts of nutrients in vegetation, the water content in the soil, plant temperature identify and categorize the top relevant diseases for prevalent crops	Multi-GPU Multi-Node
TAU - Tuning and Analysis Utilities	University of Oregon	TAU is a program and performance analysis tool framework. TAU provides a suite of static and dynamic tools to form an integrated analysis environment for parallel Fortran, C++, C, Java, and Python applications. Also, recent advancements in TAU’s code analysis capabilities have allowed new static tools to be developed, such as an automatic instrumentation tool	CUPTI	Multi-GPU Multi-Node
Torque MoabTorque Moab	Adaptive Computing	Moab HPC Suite is a workload and resource orchestration platform that automates the scheduling, managing, monitoring, and reporting of HPC workloads on massive scale. TORQUE provides control over batch jobs and distributed computing resources. It is an advanced open-source product based on the original PBS project* and incorporates the best of both community and professional development.	Request/schedule gpus based on gpu location in NUMA systems Collect and report metrics and status information Set gpu mode at job run time	Multi-GPU Multi-Node
Totalview for HPC	Rogue Wave Software	TotalView for HPC allows simultaneous debug many processes and threads in a single window. Work backwards from failure through reverse debugging, isolating the root cause faster by eliminating repeated restarts of the application. Reproduce difficult problems that occur in concurrent programs that use threads, OpenACC, OpenMP, MPI and CUDA	CUDA debug API	Multi-GPU Multi-Node
Univa Grid Engine	Univa	The Univa Grid Engine suite is a leading workload management system. The solution maximizes the use of shared resources in a data center and applies advanced management policy enforcement to deliver results faster, more efficiently, and with lower overall costs. The product suite can be deployed in any technology environment, including containers: onpremise, hybrid or in the cloud.	Manage NVIDIA CUDA, OpenACC, OpenCL plus MPI hybrid apps Optimize scheduling with resourcemapped GPUs Manage GPU apps within or without Docker containers Obtain visibility with CUDA-specific metrics for GPU monitors and reports Extend on-premise deployments to incorporate cloud-based GPU instances	Multi-GPU Multi-Node
Vampir	TU Dresden	Vampir provides an easy-to-use framework that enables developers to quickly display and analyze arbitrary program behavior at any level of detail. The tool suite implements optimized event analysis algorithms and customizable displays that enable fast and interactive rendering of very complex performance monitoring data.	CUPTI	Multi-GPU Multi-Node

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