Data Parallel C++ : Programming Accelerated Systems Using C++ and SYCL

Data Parallel C++ : Programming Accelerated Systems Using C++ and SYCL – Ebook Instant Download/Delivery ISBN(s): 9781484296912,1484296915

Product details:

• ISBN 10: 1484296915
• ISBN 13: 9781484296912
• Author: James Reinders, Ben Ashbaugh, James Brodman, Michael Kinsner, Xinmin Tian

earn 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.

Table contents:

1. Introduction
2. Where Code Executes
3. Data Management
4. Expressing Parallelism
5. Error Handling
6. Unified Shared Memory
7. Buffers
8. Scheduling Kernels and Data Movement
9. Communication and Synchronization
10. Defining Kernels
11. Vectors
12. Device Information
13. Practical Tips
14. Common Parallel Patterns
15. Programming for GPUs
16. Programming for CPUs
17. Programming for FPGAs
18. Libraries
19. Memory Model and Atomics

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