High-level programming for heterogeneous and hierarchical parallel systems

Javier García-Blas; Christopher Brown

doi:10.1177/1094342018807840

High-level programming for heterogeneous and hierarchical parallel systems

Javier García-Blas, Christopher Brown

School of Computer Science

Research output: Contribution to journal › Special issue › peer-review

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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.

Original language	English
Pages (from-to)	804-806
Journal	International Journal of High Performance Computing Applications
Volume	32
Issue number	6
DOIs	https://doi.org/10.1177/1094342018807840
Publication status	Published - 14 Nov 2018
Event	High-Level Programming for Heterogeneous and Hierarchical Parallel Systems (HLPGPU 2016) - Prague, Czech Republic Duration: 19 Jan 2016 → 19 Jan 2016 https://sites.google.com/site/hlpgpu2016/

Keywords

GPGPU
Heterogeneous
Domain-specific parallel patterns
Performance
Programming models

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10.1177/1094342018807840

García-Blas-2018-High-level-IJHPCA-AAM
© 2018, the Author(s). This work has been made available online in accordance with the publisher's policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1177/1094342018807840
Accepted author manuscript, 10.2 MB

Cite this

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title = "High-level programming for heterogeneous and hierarchical parallel systems",

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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KW - Domain-specific parallel patterns

KW - Performance

KW - Programming models

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High-level programming for heterogeneous and hierarchical parallel systems

Abstract

Keywords

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