GPU Computing Applications

Tesla

GPU APPLICATIONS BY INDUSTRY

Accelerate your computational research and engineering applications with NVIDIA® Tesla® GPUs. There are over a hundred GPU-accelerated applications and growing. Learn more about them and the speedups you get with GPUs.

Download the complete Applications Catalog. (PDF 402 KB)

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code faster

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Accelerator.

GPU Computing Applications
Bioinformatics Computational Finance Computational Fluid Dynamics Data Mining Defense and Intelligence Electronic Design Automation Imaging and Computer Visions Materials Science Medical Imaging Molecular Dynamics Numerical Analytics Physics Quantum Chemistry Oil and Gas/Seismic Structural Mechanics Visualization and Docking Weather and Climate

* Expected speedups are highly dependent on system configuration. Unless noted otherwise, speedup is for entrire code. GPU performance compared against multi-core x86 CPU socket. GPU performance benchmarked on GPU supported features and may be a kernel to kernel performance comparison. For details configuration used, view application website.Speedups as per NIVDIA in house testing or ISV’s documentation.

CUDA and GPU Computing

What is GPU Computing?
OpenACC Directives
Kepler GPU Architecture
GPU Cloud Computing

What is CUDA?
CUDA Showcase
CUDA Training
CUDA Centres of Excellence
CUDA Research Centres
CUDA Teaching Centres