Fundamentals Of Parallel MULTICORE Architecture by Yan Solihin instant download

Fundamentals Of Parallel MULTICORE Architecture by Yan Solihin instant download

“This book does an excellent job covering parallel multicore architectures and their programming models. It covers these topics in the crucial context of advanced memory hierarchy designs. The text is accessible to senior undergraduate students and graduate students in computer science and computer engineering. … the text is comprehensive and strikes a good balance between the principles and in-depth details of modern multicore architecture designs.” –Robert van Engelen, Florida State University “The author first discusses the basic hardware and history of multicore architectures, then discusses the basic ideas of how to analyze code to determine parallelism (and the basic concepts of different parallelism techniques), and then discusses the specifics of how to write shared memory parallel programs, and so on. In this way, the topics become increasingly focused on the desired content of the book, that of the details in constructing multicore architectures. This book is well organized and thought out, and I imagine that it [will be] well received by students.” –Daniel R. Reynolds, Southern Methodist University “… this book would be appealing to students and practitioners who would like to get an in-depth understanding of multicore architecture and designing efficient programs for these architectures.” –Purushotham Bangalore, University of Alabama at Birmingham Features • Gives readers perspectives on how shared memory parallel programs are written • Provides an understanding of what software primitives and hardware support are needed in shared memory multicore and multiprocessors • Discusses memory hierarchy, basic problems when designing shared memory parallel multiprocessors, cache coherence, memory consistency, synchronization, and interconnection network, showing readers how the concepts interact and fit together • Explores the single-instruction multiple-thread (SIMT) programming model, which is often used in the graphics processing unit (GPU) system • Includes