2020 · 27 citations · 20 references
ComputingComputer ScienceHigh-performance ComputingComputer ArchitectureComputer GraphicsScientific ComputingAccelerator ArchitectureBatch ProcessingGraphics Processing Unit ArchitectureGraphics Processing Unit ComputingGraphics Processing UnitsHardware AccelerationCompute Unified Device ArchitectureGpu AcceleratorsGpu ArchitectureGpu MicroarchitectureHigh-performance Computing PerformanceHigh-performance Computing SystemsScientific Computing On GpusSparse Computation Acceleration
GPU accelerators have become an Important backbone for scientific high performance-computing, and the performance advances obtained from adopting new GPU hardware are significant. In this paper we take a first look at NVIDIA's newest server-line GPU, the A100 architecture, part of the Ampere generation. Specifically, we assess its performance for sparse and batch computations, as these routines are relied upon in many scientific applications, and compare to the performance achieved on NVIDIA's previous server-line GPU.
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Adaptive sparse tiling for sparse matrix multiplication
Changwan Hong, Aravind Sukumaran-Rajam, Israt Nisa et al. · 2019 · 161 citations · Full text