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Key Features
- Covers parallel programming approaches for single computer nodes and HPC clusters: OpenMP, multithreading, SIMD vectorization, MPI, UPC++
- Contains numerous practical parallel programming exercises
- Includes access to an automated code evaluation tool that enables students the opportunity to program in a web browser and receive immediate feedback on the result validity of their program
- Features an example-based teaching of concept to enhance learning outcomes
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About the Book
Parallel Programming: Concepts and Practice provides an upper level introduction to parallel programming. In addition to covering general parallelism concepts, this text teaches practical programming skills for both shared memory and distributed memory architectures. The authors’ open-source system for automated code evaluation provides easy access to parallel computing resources, making the book particularly suitable for classroom settings.
Readership
Senior undergraduate students majoring in computer science and computer engineering or taking advanced computing classes in other disciplines; graduate students of any discipline who work with high performance computing (HPC), such as computational science, bioinformatics, computational physics, data science
Content
View Table of Contents
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