Accelerating High Performance Computing with GPUDirect RDMA

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Mellanox Interconnect Development TimelineQDR InfiniBand End-to-EndGPUDirect Technology ReleasedFDR InfiniBand End-to-EndMPI/SHMEM Collectives Offloads(FCA), Scalable HPC (MXM), OpenSHMEM, PGAS/UPCConnect-IB - 100Gb/s HCADynamically ConnectedTransport20082009 2010 2011 2012 2013World’s First Petaflop SystemsCORE-Direct TechnologyInfiniBand – Ethernet BridgingLong-Haul SolutionsGPUDirect RDMATechnology and Solutions Leadership© 2013 Mellanox Technologies 4
GPUDirect History• The GPUDirect project was announced Nov 2009• “NVIDIA Tesla GPUs To Communicate Faster Over Mellanox InfiniBand Networks”• GPUDirect was developed together by Mellanox and NVIDIA• New interface (API) within the Tesla GPU driver• New interface within the Mellanox InfiniBand drivers• Linux kernel modification to allow direct communication between drivers• GPUDirect 1.0 was announced Q2’10• “Mellanox Scalable HPC Solutions with NVIDIA GPUDirect Technology Enhance GPU-Based HPC Performance and Efficiency”• “Mellanox was the lead partner in the development of NVIDIA GPUDirect”• GPUDirect RDMA alpha release is available today• Mellanox has over two dozen developers using and providing feedback• “Proof of Concept” designs in flight today with commercial end-customers and government entities• Ohio State University has a version of MVAPICH2 for GPUDirect RDMA available for MPI application developersGPUDirect RDMA is targeted for a GA release in Q4’13© 2013 Mellanox Technologies 5
Page 1 and 2: Accelerating High Performance Compu
Page 3: User SpaceSystem SpaceUser SpaceSys
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 and 36: Outline! GPUDirect technology famil
Page 37 and 38: NVIDIA Software and Hardware Requir
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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