The best way to experience high-performance computing (HPC) simulations is through visualization. GPU-accelerated scientific visualization speeds up data analysis by enabling researchers to visualize their large datasets at interactive speeds and collaborate with remote members of the team.
Scientific visualization is used in a variety of fields, including researchers in laboratories, creative artists in their studios, and engineers solving complex technical problems.
Researchers are using scientific visualization to gather insights from large-scale HPC datasets to visualize protein folding, analyze chemical docking, understand supernovae, and more.
Creative artists are converting scientific data into realistic-looking visuals, so researchers and lay audiences can have a better understanding of the science behind their art.
Engineers are using scientific visualization to analyze their designs for various use cases, including robotics, manufacturing systems, and structural engineering.
NVIDIA offers a variety of visualization software—available from the NGC™ catalog—that enables researchers to collaborate with their colleagues remotely and interactively visualize their scientific datasets in real time, speeding up scientific discoveries and publishing results faster.
NVIDIA IndeX® is a 3D volumetric interactive visualization framework that allows scientists and researchers to visualize and interact with massive HPC datasets. PULL NVIDIA INDEX >
VMD is designed for modeling, visualization, and analysis of biomolecular systems such as proteins, nucleic acids, lipid membranes, and carbohydrate structures. PULL VMD >
The NVIDIA Omniverse™ ParaView Connector lets ParaView users send and live sync their models to an NVIDIA Omniverse Nucleus Server or locally output them to Universal Scene Description (USD). PULL OMNIVERSE PARAVIEW CONNECTOR >
To explore the performance improvements of some key HPC applications, visit the NVIDIA Developer Zone. To get started with these GPU-accelerated applications, visit NVIDIA NGC.
Scientific visualization has diverse use cases, such as visualizing molecular simulations, simulating large amounts of data, and data ingestion and filtering.
Visual Molecular Dynamics (VMD) is a flexible tool for the preparation, analysis, and visualization of simulations at the molecular level. The ultimate goal of this tool is to act as a computational microscope, allowing scientists to study the molecular machines of living cells. WATCH GTC SESSION >
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. WATCH GTC SESSION >
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. WATCH GTC SESSION >
With NVIDIA IndeX, scientists can gain unique insights into the unlimited size and complexity of 3D data. NVIDIA IndeX's in-situ solution also allows scientists to envision remarkable new data simulation and visualization workflows. WATCH GTC SESSION >
Learn more about scientific visualization through various session and demo videos, or get started with the NVIDIA Developer Blog.