Abstract:The Sparse Matrix-Vector Multiplication kernel (SpMV) has been one of the most popular kernels in high-performance computing, as the building block of many iterative solvers. At the same time, it has been one of the most notorious kernels, due to its low flop per byte ratio, which leads to under-utilization of modern processing system resources and a huge gap between the peak system performance and the observed performance of the kernel. However, moving forward to exascale, performance by itself is no longer t… Show more
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