Shared-Memory Parallelism Can Be Simple, Fast, and Scalable
The book starts by introducing tools and techniques for deterministic parallel programming, including means for encapsulating nondeterminism via powerful commutative building blocks, as well as a novel framework for executing sequential iterative loops in parallel, which lead to deterministic parall...
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Định dạng: | Sách/Book |
Ngôn ngữ: | English |
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USA: Association for Computing Machinery and Morgan & Claypool
2023
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Truy cập trực tuyến: | http://thuvienso.thanglong.edu.vn//handle/TLU/6621 |
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oai:localhost:TLU-66212023-05-11T08:59:02Z Shared-Memory Parallelism Can Be Simple, Fast, and Scalable Shun, Julian Memory Parallelism | Bộ nhớ song song The book starts by introducing tools and techniques for deterministic parallel programming, including means for encapsulating nondeterminism via powerful commutative building blocks, as well as a novel framework for executing sequential iterative loops in parallel, which lead to deterministic parallel algorithms that are efficient both in theory and in practice. The book then introduces Ligra, the first high-level shared-memory framework for parallel graph traversal algorithms. The framework enables short and concise implementations that deliver performance competitive with that of highly optimized code and up to orders of magnitude faster than previous systems designed for distributed memory. Finally, the book bridges the gap between theory and practice in parallel algorithm design by introducing the first algorithms for a variety of important problems on graphs and strings that are both practical and theoretically efficient. 2023-05-11T08:59:02Z 2023-05-11T08:59:02Z 2017 Sách/Book http://thuvienso.thanglong.edu.vn//handle/TLU/6621 en application/pdf application/pdf USA: Association for Computing Machinery and Morgan & Claypool |
institution |
Trường Đại học Thăng Long |
collection |
DSpaceTLongU |
language |
English |
topic |
Memory Parallelism | Bộ nhớ song song |
spellingShingle |
Memory Parallelism | Bộ nhớ song song Shun, Julian Shared-Memory Parallelism Can Be Simple, Fast, and Scalable |
description |
The book starts by introducing tools and techniques for deterministic parallel programming, including means for encapsulating nondeterminism via powerful commutative building blocks, as well as a novel framework for executing sequential iterative loops in parallel, which lead to deterministic parallel algorithms that are efficient both in theory and in practice. The book then introduces Ligra, the first high-level shared-memory framework for parallel graph traversal algorithms. The framework enables short and concise implementations that deliver performance competitive with that of highly optimized code and up to orders of magnitude faster than previous systems designed for distributed memory. Finally, the book bridges the gap between theory and practice in parallel algorithm design by introducing the first algorithms for a variety of important problems on graphs and strings that are both practical and theoretically efficient. |
format |
Sách/Book |
author |
Shun, Julian |
author_facet |
Shun, Julian |
author_sort |
Shun, Julian |
title |
Shared-Memory Parallelism Can Be Simple, Fast, and Scalable |
title_short |
Shared-Memory Parallelism Can Be Simple, Fast, and Scalable |
title_full |
Shared-Memory Parallelism Can Be Simple, Fast, and Scalable |
title_fullStr |
Shared-Memory Parallelism Can Be Simple, Fast, and Scalable |
title_full_unstemmed |
Shared-Memory Parallelism Can Be Simple, Fast, and Scalable |
title_sort |
shared-memory parallelism can be simple, fast, and scalable |
publisher |
USA: Association for Computing Machinery and Morgan & Claypool |
publishDate |
2023 |
url |
http://thuvienso.thanglong.edu.vn//handle/TLU/6621 |
work_keys_str_mv |
AT shunjulian sharedmemoryparallelismcanbesimplefastandscalable |
_version_ |
1769282484883685376 |