Performance Tradeoffs in Shared-memory Platform Portable Implementations of a Stencil Kernel

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dc.contributor.authorBethel, E. Wesen_US
dc.contributor.authorHeinemann, Colleenen_US
dc.contributor.authorPerciano, Talitaen_US
dc.contributor.editorLarsen, Matthew and Sadlo, Filipen_US
dc.date.accessioned2021-06-12T11:26:07Z
dc.date.available2021-06-12T11:26:07Z
dc.date.issued2021
dc.description.abstractBuilding on a significant amount of current research that examines the idea of platform-portable parallel code across different types of processor families, this work focuses on two sets of related questions. First, using a performance analysis methodology that leverages multiple metrics including hardware performance counters and elapsed time on both CPU and GPU platforms, we examine the performance differences that arise when using two common platform portable parallel programming approaches, namely OpenMP and VTK-m, for a stencil-based computation, which serves as a proxy for many different types of computations in visualization and analytics. Second, we explore the performance differences that result when using coarserand finer-grained parallelism approaches that are afforded by both OpenMP and VTK-m.en_US
dc.description.sectionheadersVolumes
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualization
dc.identifier.doi10.2312/pgv.20211043
dc.identifier.isbn978-3-03868-138-0
dc.identifier.issn1727-348X
dc.identifier.pages45-49
dc.identifier.urihttps://doi.org/10.2312/pgv.20211043
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pgv20211043
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectParallel programming languages
dc.subjectTheory of computation
dc.subjectShared memory algorithms
dc.titlePerformance Tradeoffs in Shared-memory Platform Portable Implementations of a Stencil Kernelen_US
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EGPGV21: Eurographics Symposium on Parallel Graphics and Visualization