High-Performance Computing
May 1, 2024
Updated June 19, 2025
21 minute read
Navigating the World of High-Performance Computing
High-Performance Computing (HPC) refers to the practice of aggregating computing power in a way that delivers much higher performance than one could get out of a typical desktop computer or workstation. The primary goal of HPC is to solve complex computational problems that are too large or would take too long for standard computers. This often involves processing massive datasets, performing intricate simulations, and tackling challenges at the frontiers of science and engineering. For those new to the concept, imagine trying to solve an incredibly large and complicated puzzle. While one person might eventually solve it, a large team working in a coordinated fashion on different parts simultaneously could solve it much faster; HPC operates on a similar principle of massive parallelism.
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Find a path to becoming a High-Performance Computing. Learn more at:
OpenCourser.com/topic/cep087/high
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
High-Performance Computing.
Is great for a general overview of the fundamentals of parallel computing, such as basic concepts of parallel computing, and parallel algorithms. These topics underlie and form the foundation of High-Performance Computing.
Provides a comprehensive overview of different architectures used in parallel computing, as well as programming models, and their applications.
Is for those who want to learn about OpenMP, which is an API and a set of compiler directives that can be used to parallelize applications.
Covers the fundamentals of computer architecture, including pipelining and superscalar techniques. It also examines the impact of these techniques on the performance of high-performance computers.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/cep087/high
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