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

New data-parallel programming and computer programmers interested in data-parallel programming using C++