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 for parallel computing courses. Multicore and GPU Programming: An Integrated Ap...
by Gerassimos Barlas is widely regarded by reviewers from Amazon and Goodreads as a comprehensive and clear guide for transitioning from sequential to parallel programming. It is particularly praised for its "hybrid" focus , teaching readers how to combine diverse tools like MPI, OpenMP, and CUDA to leverage both CPUs and GPUs effectively. Key Strengths The book covers a vast landscape of parallel
Some readers noted that while the book is an excellent technical introduction, it does not focus heavily on high-level software design patterns. Multicore and GPU Programming: An Integrated Ap...