TY  - GEN
AU  - Reinders,James
AU  - Ashbaugh,Ben
AU  - Brodman,James
AU  - Kinsner,Michael
AU  - Pennycook,John
AU  - Tian,Xinmin
TI  - Data Parallel C++ : Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL
SN  - 978-1-4842-5574-2
PY  - 2021///
PB  - Springer Nature
KW  - Programming & scripting languages: general
KW  - bicssc
KW  - Computer hardware
KW  - Programming Languages, Compilers, Interpreters
KW  - Hardware and Maker
KW  - Maker
KW  - heterogenous
KW  - FPGA programming
KW  - GPU programming
KW  - Parallel programming
KW  - Data parallelism
KW  - SYCL
KW  - Intel One API
KW  - Compilers & interpreters
N1  - Open Access
N2  - 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++
UR  - https://library.oapen.org/bitstream/20.500.12657/42917/1/2021_Book_DataParallelC.pdf
UR  - https://directory.doabooks.org/handle/20.500.12854/30305
ER  -