Clusters with Gpus under Linux and Windows HPC

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Ongoing Windows HPC GPU Work • Accelerator – High-level data-parallel library written in C# that can be called from .Net applications – Leverages DirectX – http://research.microsoft.com/en-us/projects/Accelerator/ • Tokyo Institute of Technology – Drs. Satoshi Matsuoka and Yutaka Akiyama – 32-node Windows HPC Cluster – Using CUDA for Advanced Structural Proteomics • High Performance Discrete Fourier Transforms on Graphics Processors – Naga K. Govindaraju et al. ( SuperComputing 2008 )
Thank You! • www.nvidia.com/cuda • www.microsoft.com/hpc • Special thanks to: – Microsoft Team • Ryan Waite, Ken Oien, Alex Sutton, Parmita Mehta, Wenming Ye, Joshua Shane, Kerry Hammil, Chris Crall and many others • Q&A
Page 1 and 2: Clusters with GPUs under Linux and
Page 3 and 4: HPC Clusters • Clusters are very
Page 5 and 6: CUDA software requirements • Driv
Page 7 and 8: Linux for GPU clusters
Page 9 and 10: System management for Tesla S1070 n
Page 11 and 12: Windows HPC for GPU clusters Curren
Page 13 and 14: Deployment Means… 1. Getting the
Page 15 and 16: Network Drivers Management Overall
Page 17 and 18: Images, drivers, and all that • A
Page 19 and 20: CUDA Toolkit • To automate the to
Page 21: Leveraging the GPU • A special en

Clusters with Gpus under Linux and Windows HPC

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