Multicore And Gpu Programming: An Integrated Ap... May 2026

Based on over 20 years of the author's teaching experience, the material is structured to minimize the difficulty of learning complex parallel platforms.

Those needing to implement high-performance scientific simulations or machine learning algorithms. Multicore and GPU Programming: An Integrated Approach 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. Based on over 20 years of the author's

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

It is frequently used as a university textbook for parallel computing courses.

Professionals looking to optimize applications by balancing workloads across modern hardware platforms.

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