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Foundations of High Performance Computing: A Comprehensive Guide to Systems, Concepts, and Programming serves as an essential and up-to-date introduction on the world of high-performance computing (HPC). Geared toward graduate students, early-career professionals, and researchers, this volume lays the groundwork for advanced study by thoroughly exploring the core systems, foundational concepts, and introductory programming skills vital to the HPC field. The book's five-part structure begins with the evolution and architectural overview of HPC, then moves into basic programming principles, resource management, and performance metrics, equipping readers with practical knowledge for accessing and utilizing HPC systems.
Beyond the basics, the guide delves into parallel computing through OpenMP, MPI, GPU computing, OpenACC, and CUDA, offering a multidisciplinary approach to multithreading and distributed memory. It further explores parallel I/O, data management, modern filesystems, cloud-based HPC solutions, and virtualization, ensuring readers grasp the latest trends and technologies. Concluding with a reference section and glossary, this book stands as a comprehensive resource for building a robust foundation in high-performance computing.
Oscar Diez has a dual role as a professor and researcher, combining academic expertise in teaching HPC courses at IE University with applied research experience at the European Commission. With over a decade of experience, he has guided students and professionals through complex computational systems, emphasizing both theory and real-world applications.