Heterogeneous System Architecture :A New Compute Platform Infrastructure

4.00 ( 1 Ratings by Goodreads)
Heterogeneous System Architecture

Heterogeneous System Architecture :A New Compute Platform Infrastructure

(Author)
4.00 (1 Ratings by Goodreads)
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Published: 2 December, 2015
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Description

Heterogeneous Systems Architecture - a new compute platform infrastructure presents a next-generation hardware platform, and associated software, that allows processors of different types to work efficiently and cooperatively in shared memory from a single source program. HSA also defines a virtual ISA for parallel routines or kernels, which is vendor and ISA independent thus enabling single source programs to execute across any HSA compliant heterogeneous processer from those used in smartphones to supercomputers. The book begins with an overview of the evolution of heterogeneous parallel processing, associated problems, and how they are overcome with HSA. Later chapters provide a deeper perspective on topics such as the runtime, memory model, queuing, context switching, the architected queuing language, simulators, and tool chains. Finally, three real world examples are presented, which provide an early demonstration of how HSA can deliver significantly higher performance thru C++ based applications. Contributing authors are HSA Foundation members who are experts from both academia and industry. Some of these distinguished authors are listed here in alphabetical order: Yeh-Ching Chung, Benedict R. Gaster, Juan Gómez-Luna, Derek Hower, Lee Howes, Shih-Hao HungThomas B. Jablin, David Kaeli,Phil Rogers, Ben Sander, I-Jui (Ray) Sung.
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More Details

Type Book
ISBN13 9780128003862
ISBN10 0128003863
Number Of Pages 206
Item Weight 430 g
Publisher / Reseller Elsevier Science & Technology
Format paperback
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Media Reviews

"...an effective combination of background, theory, and practical examples for using each of HSA's many features. Each group of features is addressed in a chapter written by academic and corporate experts on that topic....a valuable and insightful book." --EE Times

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Author's Bio

Wen-mei W. Hwu is a Senior Director of Research of NVIDIA and the Sanders-AMD Endowed Chair Professor Emeritus of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. His work focuses on parallel computing—covering architecture, implementation, compilers, and algorithms. Dr. Hwu has received numerous honors, including the ACM/ IEEE Eckert-Mauchly Award, ACM Grace Murray Hopper Award, IEEE B.R. Rau Award. He is an IEEE and ACM Fellow. He earned his Ph.D. in Computer Science from UC Berkele

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