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Contribution for newspaper or weekly magazine . 2021
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A Performance Analysis of Modern Parallel Programming Models Using a Compute-Bound Application

Authors: Andrei Poenaru; Wei-Chen Lin; Simon McIntosh-Smith;

A Performance Analysis of Modern Parallel Programming Models Using a Compute-Bound Application

Abstract

Performance portability is becoming more-and-more important as next-generation high performance computing systems grow increasingly diverse and heterogeneous. Several new approaches to parallel programming, such as SYCL and Kokkos, have been developed in recent years to tackle this challenge. While several studies have been published evaluating these new programming models, they have tended to focus on memory-bandwidth bound applications. In this paper we analyse the performance of what appear to be the most promising modern parallel programming models, on a diverse range of contemporary high-performance hardware, using a compute-bound molecular docking mini-app.

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Keywords

000, programming models, compute-bound benchmark, performance analysis, 004, performance portability

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
Green