Education Computer Architecture A Quantitative Approach 2nd Edition Pdf


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Computer Architecture: A Quantitative Approach, Second Edition by John L. Hennessy and David A. Patterson. Foreword. Preface. Acknowledgments. —4th ed. Includes bibliographical references and index. ISBN .. The fourth edition of Computer Architecture: A Quantitative Approach may be. PDF | On Jan 1, , John L. Hennessy and others published Computer Architecture - A Quantitative Approach.

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tures, called RISC (Reduced Instruction Set Computer) architectures, in the early. s. . will be founded on this quantitative approach to computer design. Computer Architecture, Fifth Edition: A Quantitative Approach. Read more Computer Architecture: A Quantitative Approach, 2nd Edition, · Read more . Computer Architecture: A Quantitative Approach, Second Edition 2nd Edition. by ISBN Why is ISBN important? ISBN. This bar-code.

Computer Architecture: A Quantitative Approach, Second Edition, is such a book. In an era of fluff computer books that are, quite properly, remaindered within weeks of publication, this book will stand the test of time, becoming lovingly dog-eared in the hands of anyone who designs computers or has concerns about the performance of computer programs. Dobb's Journal , April A Quantitative Approach was the first book to focus on computer architecture as a modern science. Its publication in inspired a new approach to studying and understanding computer design.

These arguments are considerably important if one is to step away from marketing claims when developing commercial software packages, especially for scientific applications. Customer satisfaction in using these packages is dictated by the actual performance, not what might be accomplished in an isolated test environment. The author's honest approach to these issues is extremely helpful to those involved in developing these kinds of programs and applications.

One of the more common fallacies that they discuss in this regard are: The MIPS value as being indicative of performance among computers.

They argue that this is not the case since MIPS is dependent on the instruction set, the program being run, and it can vary inversely to performance. For the later, they give the well-known example of machines with optional floating-point hardware.

If software floating point routines are used, they result in a higher MIPS rating but the execution time is longer. The issues with instruction sets are given a very detailed treatment by the authors, along with the role of compilers in designing an efficient instruction set. They discuss how variables are allocated and addressed and how many registers are needed to allocate the variables appropriately.

They use a hypothetical load-store architecture, which they call DLX to illustrate the points they are attempting to make. The DLX is generic enough so as to be convincing in its didactic quality, based as it is on the computer hardware that was available at the time of writing.

Computer Architecture : A Quantitative Approach

The authors give a thorough discussion of pipelining, including performance issues and potential pitfalls in using it. They also describe the use of dynamic scheduling to avoid stalling when data dependencies are present. The scoreboard and Tomasulo approaches to dynamic scheduling are discussed. In addition, the authors spend a lot of time discussing cache memory design and cache optimization, and virtual memory.

This discussion is extremely important for those involved in Web server performance modeling and benchmarking. An excellent example is given dealing with the performance of a UNIX file system. Chapter 7 is very important for those who need to study the performance of networked computers.

The authors begin by considering a simple network consisting of two machines containing FIFO queues.

They then design a simple protocol, similar to UDP for transferring data between these machines, and calculate the total latency of this network. Interconnection media are considered, although the presentation is somewhat out-of-date due to improvements and costs since the book was written. Performance issues with switched ATM versus shared medium Ethernet are discussed.

The treatment of multiprocessor architectures is excellent and the authors discuss two application kernels that are frequently used in scientific applications: The parallel implementation of these algorithms is extremely important in scientific programming.

ISBN 13: 9781558603295

They consider the Barnes-Hut n-body algorithm and the Ocean application to study scaling and performance issues in parallel programs. Some excellent appendices appear in the book, particularly the ones on vector architectures.

For those interested in scientific applications, vector processing is a popular methodology for performance enhancement.

But the authors point out that the popularity of vector processing seems to becoming to an end, due to advances in microprocessor technology. Scientific progammers have realized this, and have devoted much of their time in writing code that will run on these processors, which is frequently a challenging proposition.

In a box. This book is one of the few books out there that manages to have a huge page count but remain packed with the same fluedity and comprehension, and ciriculum, that makes you feel as though you wasted your money on graduate school, and could have just spent 80 some odd for this book. If you have ever been frustrated with the level of incompetance and stupidity in the reatail computer book market, where everone and their dogs sisters brother's uncle sallys, cosins sister is either a for dummies author, or some fool writing about thier experience with Windows, than this is the book for you, This book will take you to new levels of understanding of computers, the authors cover things like what Pipelining really is, and things like why MIPS is not a good mesure for performance, etc.

At the end of each chapter the authors have a section called Fallicies and Pitfalls, which give you inside perspective from the Experts as to why some things are bad mesuremnts and or Engineering philospies, that exist today. Rest assured also that this book is not written by no name Professors. The first Author D. This book will not leave you waxing and waining for more, but rather fill you with the understanding and knowledge that are key to making a good engineer.

Put simply, this book will not teach you the basics, this book will teach you the "advanced" and I really do mean the adVANced.

The complaints of one of the reviewer are perfectly justified in the sense that using this book as your first one in "computer architecture" will probably make you leave the subject very soon. This is an advanced book discussing the problems of computer architecture but with the "instruction set" point of view. The intent of this book is not to teach you basics in computer architecture! For introductory textbooks, rather go to the other one from Hennessy and Patterson "Computer organization and design: However, with considerations about the scope of the book, it is excellent even if not easy.

I don't think there something better on the market in the subject.

Computer Architecture : A Quantitative Approach - PDF Free Download

See all 15 reviews. Customers who bought related items also bought. Computer Organization and Design: David A. Practices of an Agile Developer: Working in the Real World Pragmatic Bookshelf. Venkat Subramaniam. C Programming Language, 2nd Edition. Brian W. Pages with related products. See and discover other items: Please inquire about in-store pick-up for local orders. List this Seller's Books.

Payment Methods accepted by seller. Smith Family Bookstore Address: Eugene, OR, U. AbeBooks Bookseller Since: September 30, A Quantitative Approach 2nd Edition. Stock Image. ISBN Published by Morgan Kaufmann Pub, Used Condition: Very Good Hardcover. Save for Later. Buy Used Price: About this Item price stamp title page. Bookseller Inventory Ask Seller a Question. Bibliographic Details Title: Morgan Kaufmann Pub Publication Date: John L.

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