Computer Architecture: A Quantitative Approach, has been considered essential reading by instructors, students and practitioners of computer design for nearly 30 years. The seventh edition of this classic textbook from John Hennessy and David Patterson, winners of the 2017 ACM A.M. Turing Award recognizing contributions of lasting and major technical importance to the computing field, along with new author Christos Kozyrakis, is fully revised with the latest developments in processor and system architecture. True to its original mission of demystifying computer architecture, this edition…mehr
Computer Architecture: A Quantitative Approach, has been considered essential reading by instructors, students and practitioners of computer design for nearly 30 years. The seventh edition of this classic textbook from John Hennessy and David Patterson, winners of the 2017 ACM A.M. Turing Award recognizing contributions of lasting and major technical importance to the computing field, along with new author Christos Kozyrakis, is fully revised with the latest developments in processor and system architecture. True to its original mission of demystifying computer architecture, this edition continues the longstanding tradition of focusing on areas where the most exciting computing innovation is happening, while always keeping an emphasis on good engineering design.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
ACM named John L. Hennessy a recipient of the 2017 ACM A.M. Turing Award for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry. John L. Hennessy is a Professor of Electrical Engineering and Computer Science at Stanford University, where he has been a member of the faculty since 1977 and was, from 2000 to 2016, its tenth President. Prof. Hennessy is a Fellow of the IEEE and ACM; a member of the National Academy of Engineering, the National Academy of Science, and the American Philosophical Society; and a Fellow of the American Academy of Arts and Sciences. Among his many awards are the 2001 Eckert-Mauchly Award for his contributions to RISC technology, the 2001 Seymour Cray Computer Engineering Award, and the 2000 John von Neumann Award, which he shared with David Patterson. He has also received seven honorary doctorates.
Inhaltsangabe
Printed Text 1. Fundamentals of Quantitative Design and Analysis 2. Memory Hierarchy Design 3. Instruction-Level Parallelism and Its Exploitation 4. Data-Level Parallelism in Vector, SIMD, and GPU Architectures 5. Multiprocessors and Thread-Level Parallelism 6. The Warehouse-Scale Computer 7. Domain Specific Architectures A. Instruction Set Principles B. Review of Memory Hierarchy C. Pipelining: Basic and Intermediate Concepts Online D. Storage Systems E. Embedded Systems F. Interconnection Networks G. Vector Processors H. Hardware and Software for VLIW and EPIC I. Large-Scale Multiprocessors and Scientific Applications J. Computer Arithmetic K. Survey of Instruction Set Architectures L. Advanced Concepts on Address Translation M. Historical Perspectives and References
Printed Text 1. Fundamentals of Quantitative Design and Analysis 2. Memory Hierarchy Design 3. Instruction-Level Parallelism and Its Exploitation 4. Data-Level Parallelism in Vector, SIMD, and GPU Architectures 5. Multiprocessors and Thread-Level Parallelism 6. The Warehouse-Scale Computer 7. Domain Specific Architectures A. Instruction Set Principles B. Review of Memory Hierarchy C. Pipelining: Basic and Intermediate Concepts Online D. Storage Systems E. Embedded Systems F. Interconnection Networks G. Vector Processors H. Hardware and Software for VLIW and EPIC I. Large-Scale Multiprocessors and Scientific Applications J. Computer Arithmetic K. Survey of Instruction Set Architectures L. Advanced Concepts on Address Translation M. Historical Perspectives and References
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