It is frequently used as a university textbook for parallel computing courses.
Based on over 20 years of the author's teaching experience, the material is structured to minimize the difficulty of learning complex parallel platforms. Multicore and GPU Programming: An Integrated Ap...
The book covers a vast landscape of parallel computing, including threads, OpenMP, MPI, CUDA, OpenCL, and the Thrust template library. It is frequently used as a university textbook
At over 1,000 pages , it is a massive reference that may be overwhelming for those seeking a quick, high-level overview rather than a deep dive. Ideal Audience According to Elsevier , the book is best suited for: the book is best suited for: