Data Parallel C++
Learn how to accelerate C++ programs using data parallelism. This open access book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples t...
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| Auteurs principaux: | , , , , , |
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| Format: | Online |
| Langue: | anglais |
| Publié: |
Springer Nature
2021
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| Sujets: | |
| Accès en ligne: | ONIX_20201113_9781484255742_23 |
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| _version_ | 1869519926698442752 |
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| author | Reinders, James Ashbaugh, Ben Brodman, James Kinsner, Michael Pennycook, John Tian, Xinmin |
| author_browse | Ashbaugh, Ben Brodman, James Kinsner, Michael Pennycook, John Reinders, James Tian, Xinmin |
| author_facet | Reinders, James Ashbaugh, Ben Brodman, James Kinsner, Michael Pennycook, John Tian, Xinmin |
| author_sort | Reinders, James |
| collection | Directory of Open Access Books |
| description | Learn how to accelerate C++ programs using data parallelism. This open access book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples to illustrate key topics. Data parallelism in C++ enables access to parallel resources in a modern heterogeneous system, freeing you from being locked into any particular computing device. Now a single C++ application can use any combination of devices—including GPUs, CPUs, FPGAs and AI ASICs—that are suitable to the problems at hand. This book begins by introducing data parallelism and foundational topics for effective use of the SYCL standard from the Khronos Group and Data Parallel C++ (DPC++), the open source compiler used in this book. Later chapters cover advanced topics including error handling, hardware-specific programming, communication and synchronization, and memory model considerations. Data Parallel C++ provides you with everything needed to use SYCL for programming heterogeneous systems. What You'll Learn Accelerate C++ programs using data-parallel programming Target multiple device types (e.g. CPU, GPU, FPGA) Use SYCL and SYCL compilers Connect with computing’s heterogeneous future via Intel’s oneAPI initiative Who This Book Is For Those new data-parallel programming and computer programmers interested in data-parallel programming using C++. |
| format | Online |
| id | doab-20.500.12854ir-30305 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-303052025-07-30T10:20:46Z Data Parallel C++ Reinders, James Ashbaugh, Ben Brodman, James Kinsner, Michael Pennycook, John Tian, Xinmin Programming Languages, Compilers, Interpreters Hardware and Maker Maker heterogenous FPGA programming GPU programming Parallel programming Data parallelism SYCL Intel One API Programming & scripting languages: general Compilers & interpreters Computer hardware thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general thema EDItEUR::U Computing and Information Technology::UK Computer hardware thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general thema EDItEUR::U Computing and Information Technology::UK Computer hardware Learn how to accelerate C++ programs using data parallelism. This open access book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples to illustrate key topics. Data parallelism in C++ enables access to parallel resources in a modern heterogeneous system, freeing you from being locked into any particular computing device. Now a single C++ application can use any combination of devices—including GPUs, CPUs, FPGAs and AI ASICs—that are suitable to the problems at hand. This book begins by introducing data parallelism and foundational topics for effective use of the SYCL standard from the Khronos Group and Data Parallel C++ (DPC++), the open source compiler used in this book. Later chapters cover advanced topics including error handling, hardware-specific programming, communication and synchronization, and memory model considerations. Data Parallel C++ provides you with everything needed to use SYCL for programming heterogeneous systems. What You'll Learn Accelerate C++ programs using data-parallel programming Target multiple device types (e.g. CPU, GPU, FPGA) Use SYCL and SYCL compilers Connect with computing’s heterogeneous future via Intel’s oneAPI initiative Who This Book Is For Those new data-parallel programming and computer programmers interested in data-parallel programming using C++. 2021-02-10T13:40:11Z 2021-02-10T13:40:11Z 2020-11-13T13:35:04Z 2021 book ONIX_20201113_9781484255742_23 OCN: 1204226016 https://library.oapen.org/handle/20.500.12657/42917 https://directory.doabooks.org/handle/20.500.12854/30305 eng open access image/jpeg image/jpeg image/jpeg n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/42917/1/2021_Book_DataParallelC.pdf https://library.oapen.org/bitstream/20.500.12657/42917/1/2021_Book_DataParallelC.pdf https://library.oapen.org/bitstream/20.500.12657/42917/1/2021_Book_DataParallelC.pdf Springer Nature Apress 10.1007/978-1-4842-5574-2 10.1007/978-1-4842-5574-2 9fa3421d-f917-4153-b9ab-fc337c396b5a Apress 548 open access |
| spellingShingle | Programming Languages, Compilers, Interpreters Hardware and Maker Maker heterogenous FPGA programming GPU programming Parallel programming Data parallelism SYCL Intel One API Programming & scripting languages: general Compilers & interpreters Computer hardware thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general thema EDItEUR::U Computing and Information Technology::UK Computer hardware thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general thema EDItEUR::U Computing and Information Technology::UK Computer hardware Reinders, James Ashbaugh, Ben Brodman, James Kinsner, Michael Pennycook, John Tian, Xinmin Data Parallel C++ |
| title | Data Parallel C++ |
| title_full | Data Parallel C++ |
| title_fullStr | Data Parallel C++ |
| title_full_unstemmed | Data Parallel C++ |
| title_short | Data Parallel C++ |
| title_sort | data parallel c |
| topic | Programming Languages, Compilers, Interpreters Hardware and Maker Maker heterogenous FPGA programming GPU programming Parallel programming Data parallelism SYCL Intel One API Programming & scripting languages: general Compilers & interpreters Computer hardware thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general thema EDItEUR::U Computing and Information Technology::UK Computer hardware thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general thema EDItEUR::U Computing and Information Technology::UK Computer hardware |
| topic_facet | Programming Languages, Compilers, Interpreters Hardware and Maker Maker heterogenous FPGA programming GPU programming Parallel programming Data parallelism SYCL Intel One API Programming & scripting languages: general Compilers & interpreters Computer hardware thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general thema EDItEUR::U Computing and Information Technology::UK Computer hardware thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general thema EDItEUR::U Computing and Information Technology::UK Computer hardware |
| url | ONIX_20201113_9781484255742_23 |
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