A look at the OpenCL 2.0 execution model Article Swipe

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Benedict R. Gaster ·

YOU? · · 2015 · Open Access · · DOI: https://doi.org/10.1145/2791321.2791323

A popular approach to programming manycore GPUs is the Single Instruction Multiple Thread (SIMT) abstraction. SIMT has the benefit of presenting a "single thread" view, alleviating the complexity of explicitly vectorizing the source code. However, due to the SIMD nature of the underlying hardware it is often difficult to fully hide all aspects from the developer. An example of "leaks", is OpenCL's barrier, which requires all workitems (i.e. threads) to reach and execute the "same" barrier.

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Computer science Thread (computing) SIMD Parallel computing Instruction set Programming language Programming paradigm Abstraction Source code Epistemology Philosophy

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Type: article
Language: en
Landing Page: https://doi.org/10.1145/2791321.2791323
PDF: https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F2791321.2791323&file=a2-gaster-supp.pdf
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Cited By: 3
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OpenAlex ID: https://openalex.org/W2259224430

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DOI: https://doi.org/10.1145/2791321.2791323

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Title: A look at the OpenCL 2.0 execution model

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Language: en

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Publication year: 2015

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Publication date: 2015-01-01

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Authors: Benedict R. Gaster

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Landing page: https://doi.org/10.1145/2791321.2791323

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Concepts: Computer science, Thread (computing), SIMD, Parallel computing, Instruction set, Programming language, Programming paradigm, Abstraction, Source code, Epistemology, Philosophy

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Cited by: 3

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