Comparison of HPC Architectures for Computing All-Pairs Shortest Paths. Intel Xeon Phi KNL vs NVIDIA Pascal
III-LIDI, Facultad de Informática, UNLP – CIC, La Plata (1900), Bs As, Argentina
arXiv:2105.07298 [cs.DC], (15 May 2021)
@article{Costanzo_2021,
title={Comparison of HPC Architectures for Computing All-Pairs Shortest Paths. Intel Xeon Phi KNL vs NVIDIA Pascal},
ISBN={9783030758363},
ISSN={1865-0937},
url={http://dx.doi.org/10.1007/978-3-030-75836-3_3},
DOI={10.1007/978-3-030-75836-3_3},
journal={Computer Science – CACIC 2020},
publisher={Springer International Publishing},
author={Costanzo, Manuel and Rucci, Enzo and Costi, Ulises and Chichizola, Franco and Naiouf, Marcelo},
year={2021},
pages={37–49}
}
Today, one of the main challenges for high-performance computing systems is to improve their performance by keeping energy consumption at acceptable levels. In this context, a consolidated strategy consists of using accelerators such as GPUs or many-core Intel Xeon Phi processors. In this work, devices of the NVIDIA Pascal and Intel Xeon Phi Knights Landing architectures are described and compared. Selecting the Floyd-Warshall algorithm as a representative case of graph and memory-bound applications, optimized implementations were developed to analyze and compare performance and energy efficiency on both devices. As it was expected, Xeon Phi showed superior when considering double-precision data. However, contrary to what was considered in our preliminary analysis, it was found that the performance and energy efficiency of both devices were comparable using single-precision datatype.
May 23, 2021 by hgpu
