Data parallel C++: mastering DPC++ for programming of heterogeneous systems using C++ and SYCL
Learn how to accelerate C++ programs using data parallelism. 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 G...
Gespeichert in:
| Beteiligte Personen: | , , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
New York, NY
Apress
[2020]
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781484255742/?ar |
| Zusammenfassung: | Learn how to accelerate C++ programs using data parallelism. 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 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. This book teaches data-parallel programming using C++ and the SYCL standard from the Khronos Group and walks through everything needed to use SYCL for programming heterogeneous systems. The book begins by introducing data parallelism and foundational topics for effective use of SYCL 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. You will learn: " How to accelerate C++ programs using data-parallel programming " How to target multiple device types (e.g. CPU, GPU, FPGA) " How to use SYCL and SYCL compilers " How to connect with computing's heterogeneous future via Intel's oneAPI initiative |
| Beschreibung: | Includes index. - Online resource; title from digital title page (viewed on December 16, 2020) |
| Umfang: | 1 Online-Ressource (xxvi, 548 Seiten) illustrations (some color) |
| ISBN: | 9781484255742 1484255747 |
| Zugangsbedingungen: | Open access |
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| spelling | Reinders, James VerfasserIn aut Data parallel C++ mastering DPC++ for programming of heterogeneous systems using C++ and SYCL James Reinders, Ben Ashbaugh, James Brodman, Michael Kinsner, John Pennycook, Xinmin Tian New York, NY Apress [2020] 1 Online-Ressource (xxvi, 548 Seiten) illustrations (some color) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index. - Online resource; title from digital title page (viewed on December 16, 2020) Open access Learn how to accelerate C++ programs using data parallelism. 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 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. This book teaches data-parallel programming using C++ and the SYCL standard from the Khronos Group and walks through everything needed to use SYCL for programming heterogeneous systems. The book begins by introducing data parallelism and foundational topics for effective use of SYCL 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. You will learn: " How to accelerate C++ programs using data-parallel programming " How to target multiple device types (e.g. CPU, GPU, FPGA) " How to use SYCL and SYCL compilers " How to connect with computing's heterogeneous future via Intel's oneAPI initiative Heterogeneous computing C++ (Computer program language) OpenCL (Computer program language) Calcul hétérogène C++ (Langage de programmation) OpenCL (Langage de programmation) Ashbaugh, Ben VerfasserIn aut Brodman, James VerfasserIn aut Kinsner, Michael VerfasserIn aut Pennycook, John VerfasserIn aut Tian, Xinmin VerfasserIn aut 1484255739 Erscheint auch als Druck-Ausgabe 1484255739 |
| spellingShingle | Reinders, James Ashbaugh, Ben Brodman, James Kinsner, Michael Pennycook, John Tian, Xinmin Data parallel C++ mastering DPC++ for programming of heterogeneous systems using C++ and SYCL Heterogeneous computing C++ (Computer program language) OpenCL (Computer program language) Calcul hétérogène C++ (Langage de programmation) OpenCL (Langage de programmation) |
| title | Data parallel C++ mastering DPC++ for programming of heterogeneous systems using C++ and SYCL |
| title_auth | Data parallel C++ mastering DPC++ for programming of heterogeneous systems using C++ and SYCL |
| title_exact_search | Data parallel C++ mastering DPC++ for programming of heterogeneous systems using C++ and SYCL |
| title_full | Data parallel C++ mastering DPC++ for programming of heterogeneous systems using C++ and SYCL James Reinders, Ben Ashbaugh, James Brodman, Michael Kinsner, John Pennycook, Xinmin Tian |
| title_fullStr | Data parallel C++ mastering DPC++ for programming of heterogeneous systems using C++ and SYCL James Reinders, Ben Ashbaugh, James Brodman, Michael Kinsner, John Pennycook, Xinmin Tian |
| title_full_unstemmed | Data parallel C++ mastering DPC++ for programming of heterogeneous systems using C++ and SYCL James Reinders, Ben Ashbaugh, James Brodman, Michael Kinsner, John Pennycook, Xinmin Tian |
| title_short | Data parallel C++ |
| title_sort | data parallel c mastering dpc for programming of heterogeneous systems using c and sycl |
| title_sub | mastering DPC++ for programming of heterogeneous systems using C++ and SYCL |
| topic | Heterogeneous computing C++ (Computer program language) OpenCL (Computer program language) Calcul hétérogène C++ (Langage de programmation) OpenCL (Langage de programmation) |
| topic_facet | Heterogeneous computing C++ (Computer program language) OpenCL (Computer program language) Calcul hétérogène C++ (Langage de programmation) OpenCL (Langage de programmation) |
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