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AmirAli Abdolrashidi , Devashree Tripathy , Mehmet E. Belviranlı , Laxmi N. Bhuyan , Daniel Wong ·

YOU? · · 2017 · Open Access · · DOI: https://doi.org/10.1145/3123939.3123976

GPUs lack fundamental support for data-dependent parallelism and synchronization. While CUDA Dynamic Parallelism signals progress in this direction, many limitations and challenges still re-main. This paper introducesWireframe, a hardware-software solution that enables generalized support for data-dependent parallelism and synchronization. Wireframe enables applications to naturally express execution dependencies across different thread blocks through a dependency graph abstraction at run-time, which is sent to the GPU hardware at kernel launch. At run-time, the hardware enforces the dependencies specified in the dependency graph through a dependency-aware thread block scheduler. Overall, Wireframe is able to improve total execution time up to 65.20% with an average of 45.07%.

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Computer Science

Parallel Computing

Cuda

Theoretical Computer Science

Mathematics

Software Engineering

Combinatorics

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Computer science Dependency graph Parallel computing Thread (computing) Dependency (UML) Graph Synchronization (alternating current) Task parallelism CUDA Kernel (algebra) Parallelism (grammar) Theoretical computer science Operating system Mathematics Software engineering Channel (broadcasting) Computer network Combinatorics

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Type: article
Language: en
Landing Page: https://doi.org/10.1145/3123939.3123976
OA Status: green
Cited By: 30
References: 40
Related Works: 10
OpenAlex ID: https://openalex.org/W2765329037

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OpenAlex ID: https://openalex.org/W2765329037

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DOI: https://doi.org/10.1145/3123939.3123976

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Title: Wireframe

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Type: article

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Language: en

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Publication year: 2017

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Publication date: 2017-10-14

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Authors: AmirAli Abdolrashidi, Devashree Tripathy, Mehmet E. Belviranlı, Laxmi N. Bhuyan, Daniel Wong

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Landing page: https://doi.org/10.1145/3123939.3123976

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OA URL: https://www.osti.gov/biblio/1399524

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Concepts: Computer science, Dependency graph, Parallel computing, Thread (computing), Dependency (UML), Graph, Synchronization (alternating current), Task parallelism, CUDA, Kernel (algebra), Parallelism (grammar), Theoretical computer science, Operating system, Mathematics, Software engineering, Channel (broadcasting), Computer network, Combinatorics

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Cited by: 30

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References (count): 40

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