Professionals looking to optimize applications by balancing workloads across modern hardware platforms.
Reviewers on Amazon highlight the "great details" in explanations and the helpfulness of practice problems and downloadable source code . 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: Multicore and GPU Programming: An Integrated Ap...
The second edition (2022) updated all sample code to the C++17 standard and added a new chapter on concurrent data structures. Common Critiques Multicore and GPU Programming: An Integrated Ap...
Those needing to implement high-performance scientific simulations or machine learning algorithms. Multicore and GPU Programming: An Integrated Approach