Proceedings of the 18th Conference on Computer Science and Intelligence Systems

DOI: http://dx.doi.org/10.15439/2023F7822

Citation: Proceedings of the 18th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 35, pages 973–978 (2023)

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Abstract. Considering ongoing developments of both modern CPUs, especially in the context of increasing numbers of cores, cache memory and architectures as well as compilers there is a constant need for benchmarking representative and frequently run workloads. The key metric is speed-up as the computational power of modern CPUs stems mainly from using multiple cores. In this paper, we show and discuss results from running codes such as: batch normalization, convolution, linear function, matrix multiplication, prime number test and wave equation; using compilers such as: GNU gcc, LLVM clang, icx, icc; run on four different 1 or 2-socket systems: 1 x Intel Core i7-5960X, 1 x Intel Core i9-9940X, 2 x Intel Xeon Platinum 8280L, 2 x Intel Xeon Gold 6130. Results can be regarded as suggestions concerning scaling on particular CPUs including recommended thread number configurations.

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