GPU Computing April 2009
GPU Outpacing CPU in Raw Processing GPU NVIDIA GTX cores 1.04 TFLOPS CPU GPU CUDA Architecture Introduced DP HW Introduced HW Debugger
Tesla TM High-Performance Computing Quadro ® Design & Creation GeForce ® Entertainment CUDA Architecture Available on All Modern NVIDIA GPUs Over 100 Million CUDA- enabled GPUs shipped
GPU Computing Applications Critical Mass GPU Computing Today (April 23 rd 2009) Over 100,000,000 installed CUDA-Architecture GPU’s Over 60,000 GPU Computing Developers (1/09) Cross vendor, cross platform enabled GPU Computing spans Consumer applications to HPC Over 100+ Universities teaching the CUDA Architecture and GPU Computing NVIDIA GPU with the CUDA Parallel Computing Architecture NVIDIA GPU with the CUDA Parallel Computing Architecture COpenCL DirectX Compute FORTRAN And … Java and Python integration With CUDA Extensions SDK + Lib’s + Visual Profiler and debugger Running in Production since st GPU demo Shipped 1 st OpenCL Beta Driver this week Microsoft’s GPU Computing API Supports all CUDA- Architecture GPU’s since G80 (DX10 and future DX11 GPU’s) SW supplied by The Portland Group
CUDA Architecture is Accelerating Time to Discovery 4.6 Days 27 Minutes 2.7 Days 30 Minutes 8 Hours 13 Minutes 16 Minutes 3 Hours CPU OnlyWith GPU (UIUC)(Evolved Machines)(Nokia, Motorola)(Techniscan ) Visit: CUDAzone
CUDA-Powered TSUBAME is 29 th Fastest Supercomputer in World Tokyo Institute of Technology first to achieve Top 500 rank with NVIDIA-based GPU cluster 170 Tesla systems with 680 GPUs 300,000 GPU cores 3 million computing threads NVIDIA - CONFIDENTIAL
Gaming Physics Enables games to simulate objects using physical models Allows for realistic effects and more vivid interaction Rich features available for games using NVIDIA PhysX Examples: rigid bodies, joints, fluids, cloth, softbodies, vegetation
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