Parallel and High Performance Computing

Efficient parallel programming can save hours or even days of computing time, and Parallel and High Performance Computing provides a guide to maximizing application performance and reducing execution time. It covers parallel algorithms, techniques to develop parallel programs, and the most effective languages for the CPU and GPU.

Format: Paperback / softback
Length: 704 pages
Publication date: 08 July 2021
Publisher: Manning Publications

Efficient parallel programming is crucial for tackling complex calculations that can take an extremely long time, such as training deep learning models or running large-scale simulations. By mastering parallel techniques for multicore processor and GPU hardware, developers can significantly reduce computing time, saving hours or even days.

Modern computing hardware, equipped with multicore CPUs and GPUs, allows for parallel computing by processing numerous instruction sets simultaneously. This architecture enables the execution of multiple operations at the same time, offering the potential for applications that run faster, are more energy-efficient, and can be scaled to tackle problems that demand large computational capabilities.

However, to fully leverage the benefits of parallel computing, developers must change the way they design and write software. Taking advantage of the tools, algorithms, and design patterns created specifically for parallel processing is essential to creating top-performing applications.

Parallel and High Performance Computing is an invaluable guide for anyone who needs to maximize application performance and reduce execution time. Written by parallel computing experts Robert Robey and Yuliana Zamora, the book takes a fundamental approach to parallel programming, providing novice practitioners with the skills needed to tackle any high-performance computing project with modern CPU and GPU hardware.

The book covers parallel computing architecture, hardware performance evaluation, resource scaling, and energy efficiency, making it a comprehensive resource for developers looking to enhance their skills in this field. By understanding the underlying principles of parallel computing and applying them effectively, developers can build applications that are faster, more scalable, and more energy-efficient, enabling them to tackle complex problems and achieve their goals more efficiently.

Weight: 1288g
Dimension: 266 x 267 x 41 (mm)
ISBN-13: 9781617296468