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It is frequently used as a university textbook for parallel computing courses.
The book covers a vast landscape of parallel computing, including threads, OpenMP, MPI, CUDA, OpenCL, and the Thrust template library.
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.
The second edition (2022) updated all sample code to the C++17 standard and added a new chapter on concurrent data structures. Common Critiques
Professionals looking to optimize applications by balancing workloads across modern hardware platforms.
Some readers noted that while the book is an excellent technical introduction, it does not focus heavily on high-level software design patterns.
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