Show simple item record

dc.contributor.authorReinders, James
dc.contributor.authorAshbaugh, Ben
dc.contributor.authorBrodman, James
dc.contributor.authorKinsner, Michael
dc.contributor.authorPennycook, John
dc.contributor.authorTian, Xinmin
dc.date.accessioned2023-10-14T04:00:45Z
dc.date.available2023-10-14T04:00:45Z
dc.date.issued2023
dc.date.submitted2023-10-13T15:43:12Z
dc.identifierONIX_20231013_9781484296912_4
dc.identifierhttps://library.oapen.org/handle/20.500.12657/76704
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/117557
dc.description.abstract"This book, now in is second edition, is the premier resource to learn SYCL 2020 and is the ONLY book you need to become part of this community." Erik Lindahl, GROMACS and Stockholm University Learn how to accelerate C++ programs using data parallelism and SYCL. This open access book enables C++ programmers to be at the forefront of this exciting and important development that is helping to push computing to new levels. This updated second edition is full of practical advice, detailed explanations, and code examples to illustrate key topics. SYCL enables access to parallel resources in modern accelerated heterogeneous systems. Now, a single C++ application can use any combination of devices–including GPUs, CPUs, FPGAs, and ASICs–that are suitable to the problems at hand. This book teaches data-parallel programming using C++ with SYCL and walks through everything needed to program accelerated systems. The book begins by introducing data parallelism and foundational topics for effective use of SYCL. Later chapters cover advanced topics, including error handling, hardware-specific programming, communication and synchronization, and memory model considerations. All source code for the examples used in this book is freely available on GitHub. The examples are written in modern SYCL and are regularly updated to ensure compatibility with multiple compilers. What You Will Learn Accelerate C++ programs using data-parallel programming Use SYCL and C++ compilers that support SYCL Write portable code for accelerators that is vendor and device agnostic Optimize code to improve performance for specific accelerators Be poised to benefit as new accelerators appear from many vendors Who This Book Is For New data-parallel programming and computer programmers interested in data-parallel programming using C++ This is an open access book.
dc.languageEnglish
dc.rightsopen access
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: generalen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UK Computer hardwareen_US
dc.subject.otherheterogenous
dc.subject.otherFPGA programming
dc.subject.otherGPU programming
dc.subject.otherParallel programming
dc.subject.otherData parallelism
dc.subject.otherSYCL
dc.subject.otherIntel One API
dc.titleData Parallel C++
dc.title.alternativeProgramming Accelerated Systems Using C++ and SYCL
dc.typebook
oapen.identifier.doi10.1007/978-1-4842-9691-2
oapen.relation.isPublishedBy9fa3421d-f917-4153-b9ab-fc337c396b5a
oapen.relation.isFundedByd9088593-30c3-47d1-b0fa-c0419b8ee4d3
oapen.relation.isFundedByecf22abb-5067-4082-9194-c9d58cc69c39
oapen.relation.isbn9781484296912
oapen.relation.isbn9781484296905
oapen.imprintApress
oapen.pages630
oapen.place.publicationBerkeley
oapen.grant.number[...]
dc.relationisFundedByecf22abb-5067-4082-9194-c9d58cc69c39


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

open access
Except where otherwise noted, this item's license is described as open access