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Date: 2015-03-23 04:22:15Computing GPGPU Computer architecture Computer engineering Video cards Parallel computing Coprocessors Graphics hardware Graphics processing unit RCUDA InfiniBand Nvidia | Increasing Cluster Throughput while Reducing Energy Consumption for GPU Workloads Federico Silla Technical University of ValenciaAdd to Reading ListSource URL: hpcadvisorycouncil.comDownload Document from Source WebsiteFile Size: 3,75 MBShare Document on Facebook |
• Fabriscale is a user friendly and reliable fabric manager for InfiniBand • Will ensure more efficient operation of data centers and clustersDocID: 1xV0B - View Document | |
Congestions on statically routed InfiniBand networks Branislav Jansík IT4Innovations national supercomputing center Mission and VisionDocID: 1xUKx - View Document | |
Adaptive Transport Service Selection for MPI with InfiniBand Network Masamichi Takagi Norio YamaguchiDocID: 1uwvH - View Document | |
WHITE PAPER FDR InfiniBand is Here All About Lowest Latency and Highest Scalability The high-speed InfiniBand server and storage connectivity has become the de facto scalable solution forDocID: 1tX6P - View Document | |
Transparent Checkpoint-Restart over InfiniBand Jiajun Cao∗ Gregory Kerr∗ Kapil Arya∗DocID: 1rNor - View Document |