Those needing to implement high-performance scientific simulations or machine learning algorithms. Multicore and GPU Programming: An Integrated Approach
The book covers a vast landscape of parallel computing, including threads, OpenMP, MPI, CUDA, OpenCL, and the Thrust template library. Multicore and GPU Programming: An Integrated Ap...
Professionals looking to optimize applications by balancing workloads across modern hardware platforms. by Gerassimos Barlas is widely regarded by reviewers
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 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 .
Based on over 20 years of the author's teaching experience, the material is structured to minimize the difficulty of learning complex parallel platforms.
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: