Publication | Closed Access
GPU-Aware Non-contiguous Data Movement In Open MPI
20
Citations
10
References
2016
Year
Unknown Venue
Cluster ComputingEngineeringParallel DensityGpu BenchmarkingComputer ArchitectureGpu ComputingCompute KernelData ScienceParallel ComputingData ManagementComputer EngineeringNon-contiguous Memory LayoutsComputer ScienceGpu-resident DataGpu ClusterComputational ScienceGpu ArchitectureOpen MpiParallel ProgrammingSystem Software
Due to better parallel density and power efficiency, GPUs have become more popular for use in scientific applica- tions. Many of these applications are based on the ubiquitous Message Passing Interface (MPI) programming paradigm, and take advantage of non-contiguous memory layouts to exchange data between processes. However, support for efficient non- contiguous data movements for GPU-resident data is still in its infancy, imposing a negative impact on the overall application performance.
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