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Multicore and GPU Programming
An Integrated Approach
Covers both traditional and massively parallel computing, now including a new chapter on concurrent data structures and the latest research on load balancing
Gerassimos Barlas (Author)
9780128141205, Elsevier Science
Paperback, published 8 August 2022
1024 pages
23.5 x 19 x 6.1 cm, 1.54 kg
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.
Part A: Introduction 1. Introduction 2. Multicore and Parallel Program Design Part B: Programming with Threads and Processes 3. Shared-memory Programming: Threads 4. Concurrent Data Structures 5. Distributed Memory Programming MPI 6. GPU Programming: CUDA 7. GPU Programming: OpenCL Part C: Higher-level Programming 8. Shared-memory Programming: OpenMP 9. GPU Programming: OpenACC 10. The Thrust Template Library Part D: Advanced Topics 11. Load Balancing
Subject Areas: Computer architecture & logic design [UYF], Programming & scripting languages: general [UMX]
