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Tác giả: Timothy G. Mattson, Yun (Helen) He, Alice E. Koniges
NXB: The MIT Press
Chi tiết sản phẩm
Follow authors to get new release updates, plus improved recommendations. Tim Mattson is a scientist (Ph.D. theoretical chemistry), parallel programmer and writer. He has had the privilege of working on some of the world's most exotic computers (ASCI Red ... the first TFLOP computer in 1996), experimental CPUs (the first TFLOP CPU in 2007), and has worked on several important parallel programming languages (MPI, OpenMP, and OpenCL). In addition to his technical work, Tim is a well known kayak instructor (ACA level-5 instructor, ACA level 3 instructor trainer) who lectures at venues across the Pacific Northwest on the science and anthropology of kayaking. Dr. Mattson's research for the last decade has focused on the intersections between cognitive psychology, software engineering, and scalable computing. His ongoing research (in partnership with the ParLab at UC Berkeley) is to develop a large-scale design pattern language that addresses the problem of engineering robust scalable applications. You can follow this work at the project URL: http://parlab.eecs.berkeley.edu/wiki/patterns Read more about this author Read less about this author Read more about this author Read less about this author
About the AuthorTimothy G. Mattson is Senior Principal Engineer at Intel Corporation.Yun (Helen) He is a High Performance Computing Consultant at the National Energy Research Supercomputing Center of Lawrence Berkeley National Laboratory.Alice E. Koniges is a computer scientist and research principal investigator at the University of Hawaii.
Thông tin sách: The OpenMP Common Core: Making OpenMP Simple Again (Scientific and Engineering Computation) (Kindle, 320 trang) – The MIT Press, 2019. Ngôn ngữ: Tiếng Anh.
How to become a parallel programmer by learning the twenty-one essential components of OpenMP.This book guides readers through the most essential elements of OpenMP—the twenty-one components that most OpenMP programmers use most of the time, known collectively as the “OpenMP Common Core.” Once they have mastered these components, readers with no prior experience writing parallel code will be effective parallel programmers, ready to take on more complex aspects of OpenMP. The authors, drawing on twenty years of experience in teaching OpenMP, introduce material in discrete chunks ordered to support effective learning. OpenMP was created in 1997 to make it as simple as possible for applications programmers to write parallel code; since then, it has grown into a huge and complex system. The OpenMP Common Core goes back to basics, capturing the inherent simplicity of OpenMP. After introducing the fundamental concepts of parallel computing and history of OpenMP's development, the book covers topics including the core design pattern of parallel computing, the parallel and worksharing-loop constructs, the OpenMP data environment, and tasks. Two chapters on the OpenMP memory model are uniquely valuable for their pedagogic approach. The key for readers is to work through the material, use an OpenMP-enabled compiler, and write programs to experiment with each OpenMP directive or API routine as it is introduced. The book's website, updated continuously, offers a wide assortment of programs and exercises.
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