Accelerating High Performance Computing with GPUDirect RDMA

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GPUDirect is a family of technologies! GPUDirect Shared GPU-Sysmem for inter-node copy optimization! How: Use GPUDirect-aware 3 rd party network drivers! GPUDirect P2P for intra-node, accelerated GPU-GPU memcpy! How: Use CUDA APIs directly in application! How: use P2P-aware MPI implementation! GPUDirect P2P for intra-node, inter-GPU LD/ST access! How: Access remote data by address directly in GPU device code! GPUDirect RDMA for inter-node copy optimization! What: 3 rd party PCIe devices can read and write GPU memory! How: Use GPUDirect RDMA-aware 3 rd party network drivers* and MPIimplementations* or custom device drivers for other hardware* forthcoming
NVIDIA Software and Hardware Requirements! What drivers and CUDA versions are required to support GPUDirect?! Alpha Patches work with – CUDA 5.0 or CUDA 5.5! Final release based on CUDA 6.0 (beta in October)! New driver, probably version 331! Register at developer.nvidia.com for early access! NVIDIA Hardware Requirements! RDMA available on Tesla and Quadro Kepler class hardware
Page 1 and 2: Accelerating High Performance Compu
Page 3 and 4: User SpaceSystem SpaceUser SpaceSys
Page 5 and 6: GPUDirect History• The GPUDirect
Page 7 and 8: 1 21GPUDirect 1.0ReceiveTransmitSys
Page 9 and 10: 11GPUDirect RDMAReceiveTransmitSyst
Page 11 and 12: How to get started evaluating GPUDi
Page 13 and 14: Thank You© 2013 Mellanox Technolog
Page 15 and 16: Large-scale InfiniBand Cluster Inst
Page 17 and 18: MVAPICH2 1.9 and MVAPICH2-X 1.9•
Page 19 and 20: What is GPU-Aware MPI Library?MVAPI
Page 21 and 22: MPI + CUDA - Advanced• Pipelining
Page 23 and 24: MPI Micro-benchmark PerformanceTime
Page 25 and 26: GPU-Direct RDMA with CUDA 5.0• Fa
Page 27 and 28: Performance of MVAPICH2 with GPU-Di
Page 29 and 30: Performance of MVAPICH2 with GPU-Di
Page 31 and 32: How can I get Started with GDR Expe
Page 33 and 34: Additional Information and Contact
Page 35: Outline! GPUDirect technology famil
Page 39 and 40: IB verbs extensions for GPUDirect R
Page 41 and 42: Example:d_buf=cudaMalloc();mr=ibv_r
Page 43 and 44: GPUDirect RDMA: Common use cases! I
Page 45 and 46: So what happens at CUDA 6?! No chan
Page 47 and 48: The EndQuestion Time
Page 49: GTC 2014 Call for SubmissionsLookin

Accelerating High Performance Computing with GPUDirect RDMA

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