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.
Author: Gerassimos Barlas
Publisher: Elsevier Science
Publish Date: 2022-06-02
Edition: 2
ISBN: 0128141204
ISBN 13: 9780128141205
Dimension: Length: 7.25 inches, Width: 1.5 inches, Height: 9 inches
Weight: Weight: 3.3510263824 pounds
Binding: Paperback
Pages: 1024
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.
Author: Gerassimos Barlas
Publisher: Elsevier Science
Publish Date: 2022-06-02
Edition: 2
ISBN: 0128141204
ISBN 13: 9780128141205
Dimension: Length: 7.25 inches, Width: 1.5 inches, Height: 9 inches
Weight: Weight: 3.3510263824 pounds
Binding: Paperback
Pages: 1024