Multicore And Gpu Programming: An Integrated Ap... -

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 covers a vast landscape of parallel computing, including threads, OpenMP, MPI, CUDA, OpenCL, and the Thrust template library. Multicore and GPU Programming: An Integrated Ap...

Reviewers on Amazon highlight the "great details" in explanations and the helpfulness of practice problems and downloadable source code . At over 1,000 pages , it is a

Some readers noted that while the book is an excellent technical introduction, it does not focus heavily on high-level software design patterns. At over 1

Those needing to implement high-performance scientific simulations or machine learning algorithms. Multicore and GPU Programming: An Integrated Approach