Graph Problems Performance Comparison Using Intel Xeon and Intel Xeon-Phi
Autor: | Jiří Hanzelka, Kateřina Slaninová, Jan Martinovič, Robert Skopal, Jiří Dvorský |
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Rok vydání: | 2017 |
Předmět: | |
Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9789811034084 ACSS (1) |
DOI: | 10.1007/978-981-10-3409-1_5 |
Popis: | While most modern well known performance benchmarks for high performance computers focused mainly on the speed of arithmetical operations, the increasing amount of nowadays problems depend also on the speed of memory access. This aspect is becoming crucial for all data driven computations. In this paper, two benchmarks focusing on the speed of memory access are examined. The first examined benchmark is well known Graph 500. This benchmark was developed in order to measure the computers performance in memory retrieval using the Breadth First Search algorithm on randomly generated graph. The second benchmark uses the real world data set (Czech Republic traffic network) as an input graph on which the betweenness centrality algorithm is performed. Both of these benchmarks were tested on SALOMON cluster comparing performance on both Xeon processors and Xeon-Phi co-processors. Obtained performance results were analyzed and discussed at the end of the paper. |
Databáze: | OpenAIRE |
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