Abstract:Peak performance metrics published by vendors often do not correspond to what can be achieved in practice. It is therefore of great interest to do extensive benchmarking on core applications and library routines. Since DGEMM is one of the most used in compute-intensive numerical codes, it is typically highly vendor optimized and of great interest for empirical benchmarks.In this paper we show how to build a novel tool that autotunes the benchmarking process for the Roofline model. Our novel approach can effici… Show more
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