High Performance Computing 2nd Edition

High Performance Computing, 2nd Edition by Thomas Sterling, Maciej Brodowicz, and Matthew Anderson

Step into the fast-moving world of supercomputing with a clear, contemporary guide that bridges theory and practice. This 2nd edition offers a concise yet comprehensive exploration of high performance computing (HPC) fundamentals—from parallel architectures and performance modeling to modern accelerator technologies and scalable software design—presented in a way that’s accessible for graduate students, researchers, and industry engineers alike.

Discover practical explanations of parallel programming paradigms, cluster and cloud-based HPC deployments, and hands-on approaches to profiling and optimizing code for multi-core CPUs and GPUs. Real-world examples and problem-driven discussions emphasize measurable performance improvement and scalability, making the material immediately useful for research labs, university courses, and enterprise computing teams.

Whether you’re preparing for a course in parallel computing, designing algorithms for large-scale simulation, or building HPC infrastructure in North America, Europe, Asia-Pacific, or beyond, this edition equips you with the analytical tools and implementation strategies needed to deliver efficient, high-throughput solutions. Clear diagrams, targeted case studies, and up-to-date treatment of contemporary software ecosystems ensure the book remains relevant to rapidly evolving hardware landscapes.

Add this essential resource to your professional library to deepen your command of supercomputing concepts and accelerate real-world results. Ideal for students, system architects, and computational scientists seeking practical guidance in performance optimization and scalability. Order now to advance your HPC skills and stay competitive in research and industry worldwide.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.