OpenACC 2.5 validation testsuite targeting multiple architectures

Kyle Friedline, Sunita Chandrasekaran, M. Graham Lopez, Oscar Hernandez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

Heterogeneous computing has emerged as a promising fit for scientific domains such as molecular dynamics simulations, bioinformatics, weather prediction. Such a computing paradigm includes x86 processors coupled with GPUs, FPGAs, DSPs or a coprocessor paradigm that takes advantage of all the cores and caches on a single die such as the Knights Landing. OpenACC, a high-level directive-based parallel programming model has emerged as a programming paradigm that can tackle the intensity of heterogeneity in architectures. Data-driven large scientific codes are increasingly using OpenACC, which makes it essential to analyze the accuracy of OpenACC compilers while they port code to various types of platforms. In response, we have been creating a validation suite to validate and verify the implementations of OpenACC features in conformance with the specification. The validation suite also provides a tool to compiler developers as a standard for the compiler to be tested against and to users and compiler developers alike in clarifying the OpenACC specification. This testsuite has been integrated into the harness infrastructure of the TITAN and Summitdev systems at Oak Ridge National Lab and is being used for production.

Original languageEnglish
Title of host publicationHigh Performance Computing - ISC High Performance 2017 International Workshops, DRBSD, ExaComm, HCPM, HPC-IODC, IWOPH, IXPUG, P^3MA, VHPC, Visualization at Scale, WOPSSS, Revised Selected Papers
EditorsRio Yokota, Julian M. Kunkel, Michela Taufer, John Shalf
PublisherSpringer Verlag
Pages557-575
Number of pages19
ISBN (Print)9783319676296
DOIs
StatePublished - 2017
Event32nd International Conference on High Performance Computing, ISC High Performance 2017 - Frankfurt, Germany
Duration: Jun 18 2017Jun 22 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10524 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference32nd International Conference on High Performance Computing, ISC High Performance 2017
Country/TerritoryGermany
CityFrankfurt
Period06/18/1706/22/17

Funding

O. Hernandez—This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy. gov/downloads/doe-public-access-plan). This paper is authored by an employee(s) of the United States Government and is in the public domain. Non-exclusive copying or redistribution is allowed, provided that the article citation is given and the authors and agency are clearly identified as its source.

Keywords

  • Hardware
  • Programming models
  • Testsuite
  • Validation

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