OpenCL中线性代数核的性能可移植性研究

K. Rupp, Philippe Tillet, F. Rudolf, J. Weinbub, T. Grasser, A. Jüngel
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引用次数: 7

摘要

研究了OpenCL内核实现对公共内存带宽有限的线性代数运算的性能可移植性。我们发现,内核实现和工作大小的某些组合在不同的计算内核、不同的硬件世代以及不同的供应商之间都表现出良好的性能。结果表明,单个内核的优化通常足以为大量更复杂的操作获得良好的性能。
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Performance portability study of linear algebra kernels in OpenCL
The performance portability of OpenCL kernel implementations for common memory bandwidth limited linear algebra operations across different hardware generations of the same vendor as well as across vendors is studied. Certain combinations of kernel implementations and work sizes are found to exhibit good performance across compute kernels, hardware generations, and, to a lesser degree, vendors. As a consequence, it is demonstrated that the optimization of a single kernel is often sufficient to obtain good performance for a large class of more complicated operations.
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