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High-level programming for heterogeneous and hierarchical parallel systems

Research output: Contribution to journalSpecial issue

DOI

Open Access Status

  • Embargoed (until 14/11/19)

Author(s)

Javier García-Blas, Christopher Brown

School/Research organisations

Abstract

High-Level Heterogeneous and Hierarchical Parallel Systems (HLPGPU) aims to bring together researchers and practitioners to present new results and ongoing work on those aspects of high-level programming relevant, or specific to general-purpose computing on graphics processing units (GPGPUs) and new architectures. The 2016 HLPGPU symposium was an event co-located with the HiPEAC conference in Prague, Czech Republic. HLPGPU is targeted at high-level parallel techniques, including programming models, libraries and languages, algorithmic skeletons, refactoring tools and techniques for parallel patterns, tools and systems to aid parallel programming, heterogeneous computing, timing analysis and statistical performance models.
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Details

Original languageEnglish
Pages (from-to)804-806
JournalInternational Journal of High Performance Computing Applications
Volume32
Issue number6
DOIs
StatePublished - 14 Nov 2018
EventHigh-Level Programming for Heterogeneous and Hierarchical Parallel Systems (HLPGPU 2016) - Prague, Czech Republic
Duration: 19 Jan 201619 Jan 2016
https://sites.google.com/site/hlpgpu2016/

    Research areas

  • GPGPU, Heterogeneous, Domain-specific parallel patterns, Performance, Programming models

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ID: 256640850