James Reinders is an independent consultant, prolific technical book author, and one-time Intel employee who has more than three decades worth of experience with parallel computing, HPC (high-performance computing), and AI (artificial intelligence). He’s currently writing a book about DPC++ (data parallel C++), which is based on the Khronos Group’s SYCL compiler. The book’s title is “Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems Using C++ and SYCL” and Reinders documents its progress in an article titled “Heterogeneous Computing Programming: oneAPI and Data Parallel C++” published this week on the InsideBigData.com Web site.
DPC++ allows software developers to create code using a “single-source” writing style that can then generate run-time code for heterogeneous processors including CPUs, GP-GPUS, FPGAs, and other hardware accelerators. Intel announced DPC++ as part of the oneAPI initiative at last month’s Supercomputing 2019 conference in Denver. (See “Intel announces open oneAPI initiative and development beta release with Data Parallel C++ language for programming CPUs, GPUs, FPGAs, and other accelerators.”)
Reinders’ DPC++ book project appears to be moving along well and you can now download the first four chapters of the book, for free. It’s scheduled to be completed by the middle of next year.
Click here to download the first four chapters of Reinders’ book.
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