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.
@article{arxiv.2105.07298,
title = {Comparison of HPC Architectures for Computing All-Pairs Shortest Paths. Intel Xeon Phi KNL vs NVIDIA Pascal},
author = {Manuel Costanzo and Enzo Rucci and Ulises Costi and Franco Chichizola and Marcelo Naiouf},
journal= {arXiv preprint arXiv:2105.07298},
year = {2021}
}
Comments
Computer Science - CACIC 2020. CACIC 2020. Communications in Computer and Information Science, vol 1409. Springer, Cham