What do you think?
Rate this book
Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL
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 programmingTarget 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++.
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 programmingTarget 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++.
- GenresComputer Science
606 pages, Kindle Edition
Published November 2, 2020
56 people are currently reading
25 people want to read
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 - 2 of 2 reviews
Read
January 7, 2021Clearly the best (and only, for now) book on DPC++!
May 12, 2021
A great treatment of data parallel C++ for CPU, GPU and FPGA alike. Very handy and really the only resource in this space.
Displaying 1 - 2 of 2 reviews