Report: Performance comparison between C2075 and P100 GPU cards using cosmological correlation functions
Miguel C\'ardenas-Montes, Iv\'an M\'endez-Jim\'enez, Juan Jos\'e, Rodr\'iguez-V\'azquez, and Jos\'e Mar\'ia Hern\'andez Calama

TL;DR
This paper compares the performance of C2075 and P100 GPU cards using cosmological correlation functions, showing significant speedup with the P100 without extra optimization.
Contribution
It provides a direct performance comparison of two GPU architectures on cosmological correlation functions, highlighting the P100's superior speed.
Findings
P100 achieves 13-15x speedup over C2075
Correlation functions are effective benchmarks for GPU performance
No additional optimization was needed for P100 to outperform C2075
Abstract
In this report, some cosmological correlation functions are used to evaluate the differential performance between C2075 and P100 GPU cards. In the past, the correlation functions used in this work have been widely studied and exploited on some previous GPU architectures. The analysis of the performance indicates that a speedup in the range from 13 to 15 is achieved without any additional optimization process for the P100 card.
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Taxonomy
TopicsAdvanced Mathematical Theories and Applications · Cosmology and Gravitation Theories · Galaxies: Formation, Evolution, Phenomena
