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Teaching fundamental design concepts and the challenges of emerging technology, this textbook prepares students for a career designing the computer systems of the future. In-depth coverage of complexity, power, reliability and performance, coupled with treatment of parallelism at all levels, including ILP and TLP, provides the state-of-the-art training that students need. The whole gamut of parallel architecture design options is explained, from core microarchitecture to chip multiprocessors to large-scale multiprocessor systems. All the chapters are self-contained, yet concise enough that the material can be taught in a single semester, making it perfect for use in senior undergraduate and graduate computer architecture courses. The book is also teeming with practical examples to aid the learning process, showing concrete applications of definitions. With simple models and codes used throughout, all material is made open to a broad range of computer engineering/science students with only a basic knowledge of hardware and software.
- Sales Rank: #188768 in Books
- Brand: Brand: Cambridge University Press
- Published on: 2012-10-08
- Original language: English
- Number of items: 1
- Dimensions: 9.69" h x 1.14" w x 7.44" l, 1.10 pounds
- Binding: Hardcover
- 557 pages
- Used Book in Good Condition
Review
"Parallel computers and multicore architectures are rapidly gaining importance because the performance of a single core is not improving at the same historical level. Professors Dubois, Annavaram, and Stenstrom have created an easily readable book on the intricacies of parallel architecture design that academicians and practitioners alike will find extremely useful." - Shubu Mukherjee, Cavium, Inc.
"The book can help the readers to understand the principles of parallel systems crystally clear. A necessary book to read for the designers of parallel systems." - Yunji Chen, Institute of Computing Technology, Chinese Academy of Sciences
"All future electronic systems will comprise of a built-in microprocessor, consequently the importance of Computer Architecture will surge. This book provides an excellent tutorial of Computer Architecture fundamentals from the basic technology via processor and memory architecture to chip multiprocessors. I found the book very educationally flow and readable - an excellent instructive book worth using." - Uri Weiser, Technion
"This book really fulfils the need to understand the basic technological on-chip features and constraints in connection with their impact on computer architecture design choices. All computing systems students and developers should first master these single and multi core foundations in a platform independent way, as this comprehensive text does." - Mateo Valero, BSC
"After the drastic shift towards multi-cores that processor architecture has experienced in the past few years, the domain was in dire need of a comprehensive and up-to-date book on the topic. Michel, Murali and Per have crafted an excellent textbook which can serve both as an introduction to multi-core and parallel architectures, as well as a reference for engineers and researchers." - Olivier Temam, INRIA, France
"Parallel Computer Organization and Design" fills an urgent need for a comprehensive and authoritative yet approachable tutorial and reference text for advanced computer architecture topics. All of the key principles and concepts covered in Wisconsin's three-course computer architecture sequence are addressed in a well-organized, thoughtful, and pedagogically appealing manner, without overwhelming the reader with distracting trivia or an excess of quantitative data. In particular, the coverage of chip multiprocessors in Chapter 8 is fully up to date with the state of the art in industry practice, while the final chapter on quantitative evaluation--a true gem!--is a unique and valuable asset that will clearly set this book apart from its competition." - Mikko Lipasti, University of Wisonsin-Madison
"The book contains in-depth coverage of all the aspects of the computer systems. It is comprehensive, systematic, and in sync with the latest development in the field. The skillfully organized book uses self-contained chapters to allow the readers get a complete understanding of a topic without wandering through the whole book. Its content is rich, coherent and clear. Its questions are crafted to stimulate creative thinking. I recommend the book as a must read to all graduate students and young researchers and engineers designing the computers." - Lixin Zhang, Institute of Computing Technology, Chinese Academy of Sciences
"... parallel architectures are the key for high performance and high efficiency computing systems. This book tells the story of parallel architecture at all levels - from the single transistor to the full blown CMP - an unforgettable journey!" - Ronny Ronen, Intel
"Multicore chips have made parallel architectures ubiquitous and their understanding a necessity. This text provides a comprehensive treatment of parallel system architecture and the fundamentals of cache coherence and memory consistency in the most compact form to date. This is a perfect text for a one semester graduate course." - Lawrence Rauchwerger, Texas A&M University
"It is the best of today's books on the subject, and I plan to use it in my class. It is an up-to-date picture of parallel computing that is written in a style that is clear and accessible." - Trevor Mudge, Bredt Family Professor of Computer Engineering, The University of Michigan
"Parallelism, at multiple levels and in many different forms, is now a necessity for all future computer systems, and the new generation of computer scientists and engineers have to master it. To understand the complex interactions among the hundreds of existing ideas, options, and choices, one has to categorize them, put them in order, and then synthesize them. That is precisely what Dubois, Annavaram, and Stenstr�m do, in a magnificent way, in this extremely contemporary and timely book. I want to particularly stress the uniquely clear way in which the authors explain the hardest among these topics: coherence, synchronization, and memory consistency." - Manolis Katevenis, Head of the Computer Architecture and VLSI Systems Laboratory, FORTH-ICS; and Professor of Computer Science, University of Crete, Heraklion, Greece
"This book is a truly comprehensive treatment of parallel computers, from some of the top experts in the field. Well grounded in technology yet remaining very accessible, it also includes important but often overlooked topics such reliability, power, and simulation." - Norm Jouppi, HP
"This text takes a fresh cut at traditional computer architecture topics and considers basic principles from the perspective of multi-core and parallel systems. The need for such a high quality textbook written from this perspective is overdue, and the authors of this text have done a good job in organizing and revamping topics to provide the next generation of computer architects with the basic principles they will need to design multi-core and many-core systems." - David Kaeli, Director of the NU Computer Architecture Research Laboratory, NEU
"An excellent book in an area that has long cried out for tutorial material --- it will be an indispensable resource to students and educators in parallel computer architecture." - Josep Torrellas, University of Illinois
About the Author
Michel Dubois is a Professor in the Ming Hsieh Department of Electrical Engineering at the University of Southern California (USC) and part of the Computer Engineering Directorate. Before joining USC in 1984, he was a research engineer at the Central Research Laboratory of Thomson-CSF in Orsay, France. He has published more than 150 technical papers on computer architecture and edited two books. He is a Fellow of the IEEE and of the ACM.
Murali Annavaram is an Assistant Professor and Robert G. and Mary G. Lane Early Career Chair in the Ming Hsieh Department of Electrical Engineering at the University of Southern California, and part of the Computer Engineering Directorate, where he has developed and taught advanced computer architecture courses. Prior to USC, he spent six years at Intel researching various aspects of future CMP designs.
Per Stenstr�m is a Professor of Computer Engineering at Chalmers University of Technology, Sweden. He has published two textbooks and over 100 technical papers. He has been a visiting scientist at Carnegie-Mellon University, Stanford University and the University of Southern California, and also was engaged in research at Sun Microsystems on its chip-multithreading technology. He is a Fellow of the IEEE and of the ACM and is a member of the Royal Swedish Academy of Engineering Sciences and the Academia Europaea.
Most helpful customer reviews
4 of 4 people found the following review helpful.
Best computer architecture book out there!
By C. De La Paz III
This book puts Patterson/Hennessy's book to shame! (Comp Arch: A Quantitative Approach)
For the most part this book covers everything CA:QA covers while at the same time being much more concrete. Although written by three authors, the book is very well written, greatly organized, sentences are clear and to the point, and most importantly, it does not pointlessly repeat information or put off key topics to the Appendices.
I love the fact that this book covers important information other comp. architecture don't (eg. Gustafson's law, difference between Vector and Array (systolic) processors, CMOS transistor-level basics, message-passing, interconnect basics, routing techniques, programming models). Even more gratifying is the fact that they spend a whole chapter describing the taxonomy of simulators! Every single commercial/academia processor out there is co-designed with the help of simulators nowadays. To me its just mind-boggling that other computer architecture books don't cover this essential topic.
Like any other computer architecture book out there, this book will NOT make you an expert in computer architecture. However, this book does exactly what it is supposed to do, and that is to give you a concise, complete review of what computer architecture is all about.
Having said, I would argue Computer Organization and Design (Hennessy) is a better book for beginners or people that need to review the basics. On the other hand, if you are looking to become more of an expert in any of the subfields within computer architecture I would recommend "Readings in Computer Architecture" by Hill/Jouppi/Sohi. Although not necessary up-to-date, the papers included in that book are classics and definitely must-read. Another great book is "Introduction to High Performance Computing for Scientists and Engineers" by Hager/Wellein.
Note: One drawback to be aware off is that this book doesn't cover Vector/GPU architecture as much in detail as CA:QA. However, in my opinion you would be better off just reading particular research papers on these topics.
- Vectors processors: Tarantula Processor (Espasa), Overcoming the limitations of conventional vector processors (C. Kozyrakis)
- GPU Architecture: NVidia Fermi whitepaper, CUDA Handbook by N. Wilt
2 of 2 people found the following review helpful.
Very up to date
By R
When I studied parallel computing hardware as a grad student 20+ years ago it was a much simpler field. This turned out to be a perfect book for becoming acquainted with modern design principles and practice. I had a particular need to understand how we can better support database concurrent updates at a hardware level and I got a few nice ideas from the book, in my view way more than the price of admission.
1 of 1 people found the following review helpful.
Excellent computer architecture textbook
By Gabriel Southern
The field of computer architecture and microprocessor design has undergone a significant change in the past decade. The three best books about computer architecture that I know of are:
Computer Architecture, Fifth Edition: A Quantitative Approach
Modern Processor Design: Fundamentals of Superscalar Processors
Parallel Computer Organization and Design (this book)
Of these three books, Parallel Computer Organization and Design has the best coverage of the issues that have limited the increase in single core performance, as well as important constraints in the development of multicore processors.
Despite the title, this book covers all the important elements associated with the design of modern high performance CPUs, not just parallel computers.
The first four chapters focus on topics that don't directly deal with parallelism, but matter more for the design of the components in a CPU. These chapters help motivate the demand for parallel computers by highlighting limitations of scalar architectures, but they also give a good overview of fundamental concepts for the design of a CPU core. Chapters 5 through 8 focus on topics related to designing a parallel system, while chapter 9 provides a survey of simulation techniques used in the development of modern CPUs.
The book is organized in a logical fashion and it is instructive to read it from cover to cover. However, each chapter also provides standalone coverage of a specific topic and can be read individually. The chapters are also comprehensive and the book does not assume that the reader has an extensive background in computer architecture. I think it would be useful as a textbook for someone in a computer architecture course, or simply as a good reference on modern CPU design.
My primary complaint with the book is the lack of references. There are none. While the authors clearly drew on a vast amount of personal knowledge, mistakes or omissions are inevitable when covering so much material. For instance, I noticed that the explanation of the SMARTS sampling technique on pages 512-513 was not completely correct. This made me somewhat less confident about other topics explained in the book that I don't have as much expertise in. Having references would have added to the credibility of the book.
Another failing is that the book does not differentiate clearly between topics that are implemented in commercially available CPUs and ones that currently only exist as research proposals. This was most notable in the explanation of thread-level speculation in section 8.5.4. Also, Chapter 9 did not differentiate between simulation techniques used primarily in academic research and those used for development of real CPUs.
Overall, however, I found the book to be a clear and comprehensive survey of the most important topics related to the design of modern CPUs, and I highly recommend it for anyone wanting to learn and understand the details of how modern CPUs work.
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