Multicore and GPU Programming: An Integrated Approach, 2/e (美國原版)

Multicore and GPU Programming: An Integrated Approach, Second Edition offers broad coverage of key parallel computing tools, essential for multi-core CPU programming and many-core massively parallel computing. Using threads, OpenMP, MPI, CUDA and other state-of-the-art tools, the book teaches the design and development of software capable of taking advantage of modern computing platforms that incorporate CPUs, GPUs and other accelerators.

Presenting material refined over more than two decades of teaching parallel computing, author Gerassimos Barlas minimizes the challenge of transitioning from sequential programming to mastering parallel platforms with multiple examples, extensive case studies, and full source code. By using this book, readers will better understand how to develop programs that run over distributed memory machines using MPI, create multi-threaded applications with either libraries or directives, write optimized applications that balance the workload between available computing resources, and profile and debug programs targeting parallel machines.

《多核心和GPU編程：整合式方法，第二版》提供了廣泛的關於並行計算工具的涵蓋範圍，這對於多核心CPU編程和許多核心的大規模並行計算至關重要。本書使用線程、OpenMP、MPI、CUDA和其他最先進的工具，教授設計和開發能夠利用包括CPU、GPU和其他加速器的現代計算平台的軟體。

作者Gerassimos Barlas在教授並行計算超過二十年的經驗中，通過大量的例子、廣泛的案例研究和完整的原始碼，最大限度地減少了從順序編程到掌握多核心平台的挑戰。通過閱讀本書，讀者將更好地理解如何開發在使用MPI運行的分佈式記憶體機器上的程式，使用庫或指令創建多線程應用程式，編寫在可用計算資源之間平衡工作負載的優化應用程式，以及針對並行機器進行程式分析和調試。