Data Parallel C++ : Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL (Record no. 46208)

MARC details
000 -LEADER
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000 - LEADER
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001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/30305
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260218105623.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-1-4842-5574-2
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4842-5574-2
042 ## - AUTHENTICATION CODE
Authentication code dc
245 #0 - TITLE STATEMENT
Title Data Parallel C++ : Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Springer Nature
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (548 p.)
520 ## - SUMMARY, ETC.
Summary, etc. 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++.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Programming Languages, Compilers, Interpreters
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ashbaugh, Ben
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Brodman, James
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kinsner, Michael
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pennycook, John
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Reinders, James
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://docs.google.com/spreadsheets/d/1yKIrdCPDAG_9c22mwoOIO2DOhtj65Wqa/edit?usp=sharing&ouid=106555315294820607512&rtpof=true&sd=true ">https://docs.google.com/spreadsheets/d/1yKIrdCPDAG_9c22mwoOIO2DOhtj65Wqa/edit?usp=sharing&ouid=106555315294820607512&rtpof=true&sd=true </a>
Link text List of Curated E-Books
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type E-Book
Holdings
Withdrawn status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Date last seen Price effective from Koha item type
  Library of Congress Classification   Not For Loan Directory of Open Access Books Directory of Open Access Books 12/22/2021   12/22/2021 12/22/2021 E-Book

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