Foundations of High-Performance Computing

Foundations of High-Performance Computing, 1st Edition, by Oscar Diez, provides a comprehensive reference on fundamental systems, computational concepts, and parallel programming techniques. Published under the Elsevier imprint, this 752-page volume details the core principles required to understand and implement parallel software across diverse computing platforms.

The content synthesizes essential parallel programming paradigms into structured technical material. Readers encounter detailed coverage of OpenMP multithreading for shared memory execution, deep dives into MPI programming for distributed memory systems, and introductions to GPU computing utilizing OpenACC and CUDA basics for accelerated processing.

Positioned as a groundwork companion to High-Performance Computing: Applications and Frontiers, this volume meets the academic and professional needs of undergraduate and graduate students in computer science and engineering. Academic researchers, industry specialists, and early-career professionals can equally draw upon its theoretical foundations and practical code models.