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Comparative analysis of coprocessors
Author(s) -
Sakdhnagool Putt,
Sabne Amit,
Eigenmann Rudolf
Publication year - 2018
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.4756
Subject(s) - xeon phi , coprocessor , computer science , productivity , xeon , parallel computing , compiler , operating system , economics , macroeconomics
Summary While GPUs have seen a steady increase in usage, Xeon Phis have struggled in proving their value, and eventually got discontinued. Is this a matter of the Intel many‐core architecture's younger age or are there reasons due to specific features? This paper reviews quantitative information addressing these questions. Using two latest coprocessors, we evaluate performance and programming productivity across a range of microbenchmarks and applications. We consider productivity as the percentage of hand‐optimized performance reached by a simple high‐level parallel programming model that is translated onto the specific architectures by advanced compilers. We evaluate and compare the performance of the two coprocessors and point out where Xeon Phis fall short. We also briefly review the performance of different execution modes of Xeon Phis. Moreover, unlike common expectation, we found that Xeon Phis' productivity is marginally better that GPUs. The current results suggest that the performance advantage of GPUs outweighs the productivity benefit of Xeon Phis. Closing the performance gap and increasing the productivity benefit that a more regular many‐core paradigm can offer will be essential in designing a next‐generation architecture.