Abstract | ||
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NERSC has partnered with over 20 representative application developer teams to evaluate and optimize their workloads on the Intel® Xeon Phi™Knights Landing processor. In this paper, we present a summary of this two year effort and will present the lessons we learned in that process. We analyze the overall performance improvements of these codes quantifying impacts of both Xeon Phi™architectural features as well as code optimization on application performance. We show that the architectural advantage, i.e. the average speedup of optimized code on KNL vs. optimized code on Haswell is about 1.1(times ). The average speedup obtained through application optimization, i.e. comparing optimized vs. original codes on KNL, is about 5(times ). |
Year | Venue | Field |
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2017 | ISC Workshops | Program optimization,Computer science,Parallel computing,Xeon,Speedup |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
8 | 16 |
Name | Order | Citations | PageRank |
---|---|---|---|
Thorsten Kurth | 1 | 57 | 8.36 |
William Arndt | 2 | 0 | 0.68 |
Taylor Barnes | 3 | 1 | 0.70 |
Brandon G. Cook | 4 | 15 | 4.95 |
Jack Deslippe | 5 | 78 | 12.45 |
Douglas Doerfler | 6 | 105 | 9.48 |
Brian Friesen | 7 | 0 | 0.34 |
Yun (Helen) He | 8 | 6 | 1.92 |
Tuomas Koskela | 9 | 1 | 0.72 |
Mathieu Lobet | 10 | 0 | 1.01 |
Tareq M. Malas | 11 | 40 | 3.59 |
leonid oliker | 12 | 1358 | 145.15 |
Andrey Ovsyannikov | 13 | 0 | 0.34 |
Samuel Williams | 14 | 70 | 7.37 |
Woo-Sun Yang | 15 | 0 | 0.34 |
Zhengji Zhao | 16 | 21 | 4.36 |