Multicore And Gpu Programming: An Integrated Ap... – Ultimate

Reviewers on Amazon highlight the "great details" in explanations and the helpfulness of practice problems and downloadable source code .

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...

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 Reviewers on Amazon highlight the "great details" in

The book covers a vast landscape of parallel computing, including threads, OpenMP, MPI, CUDA, OpenCL, and the Thrust template library. It is particularly praised for its "hybrid" focus

The second edition (2022) updated all sample code to the C++17 standard and added a new chapter on concurrent data structures. Common Critiques