Readings In Computer Architecture
HILL
Sold by Basi6 International, Irving, TX, U.S.A.
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Add to basketSold by Basi6 International, Irving, TX, U.S.A.
AbeBooks Seller since June 24, 2016
Condition: New
Quantity: 1 available
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Thanks to the continued exponential advances in semiconductor design and the demands of evolving and emerging application domains, the field of computer architecture has never been more dynamic. This, the first major book of computer architecture readings in over two decades, captures this dynamism and reveals Computer Architecture's rich history of practice.
This is much more than a simple collection of papers. The editors have carefully selected the most influential primary sources in specific areas of inquiry that, taken together, present the critical issues of the entire discipline. These include issues in technology, implementation, economics, evaluation methods, instruction set design, instruction level parallelism, dataflow/multithreading, memory systems, input/output systems, single-instruction multiple data parallelism, and multiple-instruction multiple data parallelism. In addition, you'll find the editors' thoughtful, focused introductions to each area, providing the context and background necessary for understanding the significance and lasting impact of these papers.
The primary sources and insightful commentary contained in this book provide foundational knowledge for computer architects as well as for those who design supporting system software and compilers. This is an excellent resource for practitioners, instructors, students, and researchers.
Mark D. Hill is Professor and Romnes Fellow in the Computer Sciences and Electrical and Computer Engineering departments at the University of Wisconsin-Madison. His research targets the memory systems of shared-memory multiprocessors and high-performance uniprocessors. Much of his recent work was part of the Wisconsin Wind Tunnel project, which examined supporting multiple parallel programming models on hardware ranging from tightly-coupled multiprocessors to clusters of workstations.
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