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The Elbrus Platform Feasibility Assessment for High-Performance Computationsстатья
Информация о цитировании статьи получена из
Web of Science,
Scopus
Дата последнего поиска статьи во внешних источниках: 18 сентября 2019 г.
- Авторы: Tyutlyaeva Ekaterina, Konyukhov Sergey, Odintsov Igor, Moskovsky Alexander
- Сборник: Supercomputing. RuSCDays 2016. Communications in Computer and Information Science
- Том: 687
- Год издания: 2017
- Место издания: Springer Cham
- Первая страница: 333
- Последняя страница: 344
- DOI: 10.1007/978-3-319-55669-7_26
- Аннотация: This paper examines the prospects of the Elbrus computing platform for high-performance computations. The results of the most representative HPC benchmarks (HPCC, NPB, HPCG) and their analysis were presented. The testbed node was equipped with four MCST Elbrus-4C processors and DRAM DDR3 with total capacity 48 Gb. Different factors affecting the performance of FT and MG tests from NPB benchmark suite were analyzed by using Paraver tool, hardware performance counters (HPC) and MPI communications data. The scalability of geological application implementing the double-square-root (DSR) prestack migration method was investigated. Benchmark results show that the code customization to reveal platform-specific optimizations is required for the best performance. Nevertheless, the scalability analysis demonstrates that most tests are linearly scalable within a certain range of processor numbers.
- Добавил в систему: Московский Александр Александрович