ANALYZE DATA FASTER WITH GPU-ACCELERATED VISUALIZATION

The best way to experience high-performance computing (HPC) simulations is through visualization. GPU-accelerated scientific visualization accelerates data analysis by enabling researchers to visualize their large data sets at interactive speeds and collaborate with remote team members.

WHO USES SCIENTIFIC VISUALIZATION?

Scientific visualization is used in a variety of fields, such as
by researchers in laboratories and by engineers solving complex technical problems.
E.g. by researchers in laboratories, by creative artists in their studios, and by engineers solving complex technical problems.

Research

Researchers use scientific visualization to gain insights from large HPC datasets to visualize protein folding, analyze chemical docking, understand supernovae, and more.

Creative artists

Creative artists transform scientific data into realistic-looking images so researchers and laypeople can better understand the science behind your art.

Engineering

Engineers use scientific visualization to analyze their designs for various use cases, such as robotics, manufacturing systems, and civil engineering.

SPEED UP YOUR SCIENTIFIC VISUALIZATION TASKS

NVIDIA offers a variety of visualization software available in the NGC™ catalog that enables researchers to collaborate with their colleagues remotely and interactively visualize their scientific datasets in real time to accelerate scientific discoveries and publish results faster.

NVIDIA INDEX

NVIDIA IndeX® is an interactive 3D volume visualization framework that enables scientists and researchers to visualize and interact with large-scale HPC datasets.

VMD

VMD is designed for modeling, visualization and analysis of biomolecular systems such as proteins, nucleic acids, lipid membranes and carbohydrate structures.

OMNIVERSE PARAVIEW CONNECTOR

With the NVIDIA Omniverse™ ParaView Connector, ParaView users can send their models to an NVIDIA Omniverse Nucleus Server and synchronize them live or output them locally to Universal Scene Description (USD).
Visit the NVIDIA Developer Zone to learn about performance improvements to some key HPC applications.
​​​​​​​To get started with these GPU-accelerated applications, visit NVIDIA NGC.

GPU-BASED SCIENTIFIC VISUALIZATION IN ACTION

There are several use cases for scientific visualization, such as molecular simulation visualization,
​​​​​​​big data simulation and data acquisition and filtering.

ANALYZING SIMULATIONS
AT THE MOLECULAR LEVEL

Visual Molecular Dynamics (VMD) is a flexible tool for preparing, analyzing and visualizing simulations at the molecular level. The goal of this tool is to act as a computational microscope that allows scientists to study the molecular machines of living cells.

PERFORM LARGE-SCALE DATA SIMULATIONS

A real-time and high-fidelity visual experience of large-scale data simulations is crucial to understanding complex phenomena and gaining insights from scientific simulations, which ultimately leads to faster discoveries and accelerated decision-making.

USING NVIDIA OMNIVERSE FOR DATA INGESTION AND FILTERING

Via the Omniverse ParaView Connector, scientists can use ParaView for data ingestion and filtering before importing it to Omniverse to create rich, realistic visualizations. It also connects that data to Omniverse's broad ecosystem of content creation and rendering tools.

GAIN UNIQUE INSIGHTS
FROM 3D DATA

With NVIDIA IndeX, scientists can gain unique insights into the unlimited size and complexity of 3D data. NVIDIA IndeX's in-situ solution also enables scientists to create remarkable new workflows for data simulation and visualization.

GPUS FOR USE IN SERVERS

GPUS FOR USE IN WORKSTATIONS