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Titlebook: Languages and Compilers for Parallel Computing; 31st International W Mary Hall,Hari Sundar Conference proceedings 2019 Springer Nature Swit

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書(shū)目名稱(chēng)Languages and Compilers for Parallel Computing
副標(biāo)題31st International W
編輯Mary Hall,Hari Sundar
視頻videohttp://file.papertrans.cn/582/581187/581187.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Languages and Compilers for Parallel Computing; 31st International W Mary Hall,Hari Sundar Conference proceedings 2019 Springer Nature Swit
描述.This book constitutes the thoroughly refereed post-conference proceedings of the 31.st. International Workshop on Languages and Compilers for Parallel Computing, LCPC 2018, held in Salt Lake City, UT, USA, in October 2018. The 14 revised full papers were carefully reviewed and selected from 26 submissions. Specific topics are compiling for parallelism and parallel compilers, static, dynamic, and adaptive optimization of parallel programs, parallel programming models and languages, formal analysis and verification of parallel programs, parallel runtime systems and libraries, performance analysis and debugging tools for concurrency and parallelism, parallel algorithms and concurrent data structures, parallel applications, synchronization and concurrency control, software engineering for parallel programs, fault tolerance for parallel systems, and parallel programming and compiling for heterogeneous systems..
出版日期Conference proceedings 2019
關(guān)鍵詞algorithmic skeletons; compiler optimization; CPU kernel subgraph matching; data dependence analysis; en
版次1
doihttps://doi.org/10.1007/978-3-030-34627-0
isbn_softcover978-3-030-34626-3
isbn_ebook978-3-030-34627-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Automating the Exchangeability of Shared Data Abstractions,This paper presents a framework to support the automated exchange of data abstractions in multi-threaded applications, together with an empirical study of their uses in PARSEC. Our framework was able to speedup six of the benchmarks by up?to 2x on two platforms.
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發(fā)表于 2025-3-22 03:50:05 | 只看該作者
https://doi.org/10.1007/978-3-030-34627-0algorithmic skeletons; compiler optimization; CPU kernel subgraph matching; data dependence analysis; en
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Languages and Compilers for Parallel Computing978-3-030-34627-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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MATE, a Unified Model for Communication-Tolerant Scientific Applications,e benefits within a single unified model, as opposed to hybrid (. .) approaches. We demonstrate MATE’s effectiveness in reducing the cost of communication in three scientific computing motifs on up?to 32k cores of the NERSC Cori Phase I supercomputer.
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HDArray: Parallel Array Interface for Distributed Heterogeneous Devices,utions of data and work. Using work distribution, and kernel . and . information, communication among processes and devices in a process is performed automatically. By providing a unified programming model to the user, program development is simplified.
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Conference proceedings 2019is and debugging tools for concurrency and parallelism, parallel algorithms and concurrent data structures, parallel applications, synchronization and concurrency control, software engineering for parallel programs, fault tolerance for parallel systems, and parallel programming and compiling for heterogeneous systems..
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