Hwu, Wen-mei editor. text bibliography Electronic books. Electronic books. mau Waltham, MA Morgan Kaufman �2016 2016 monographic eng

electronic resource

1 online resource 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 G�omez-Luna, Derek Hower, Lee Howes, Shih-Hao HungThomas B. Jablin, David Kaeli, Phil Rogers, Ben Sander, I-Jui (Ray) Sung. edited by Wen-mei W. Hwu. "Morgan Kaufmann is an imprint of Elsevier." Includes bibliographical references and index. Computer architecture Parallel processing (Electronic computers) Parallel programming (Computer science) COMPUTERS Computer Literacy COMPUTERS Computer Science COMPUTERS Data Processing COMPUTERS Hardware General COMPUTERS Information Technology COMPUTERS Machine Theory COMPUTERS Reference Computer architecture Parallel processing (Electronic computers) Parallel programming (Computer science) QA76.9.A73 004.2 Hwu, Wen-mei W. : Elsevier Science, �2015 9780128008010 0128008016 http://www.sciencedirect.com/science/book/9780128003862 http://www.sciencedirect.com/science/book/9780128003862 IDEBK 151127 20190328114813.0 ocn930489875 eng