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High Performance Computing (RISC Architectures, Optimization & Benchmarks) (Englisch) Taschenbuch – Juni 1998


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Produktinformation

  • Taschenbuch: 466 Seiten
  • Verlag: O'Reilly & Associates; Auflage: 2., Aufl. (Juni 1998)
  • Sprache: Englisch
  • ISBN-10: 156592312X
  • ISBN-13: 978-1565923126
  • Größe und/oder Gewicht: 17,8 x 2,6 x 23,3 cm
  • Durchschnittliche Kundenbewertung: 5.0 von 5 Sternen  Alle Rezensionen anzeigen (3 Kundenrezensionen)
  • Amazon Bestseller-Rang: Nr. 436.819 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
  • Komplettes Inhaltsverzeichnis ansehen

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Produktbeschreibungen

Synopsis

The computing power that's available on the average desktop has exploded in the past few years. A typical PC has performance exceeding that of a multi-million dollar supercomputer a mere decade ago. To some people, that might mean that it's time to sit back and watch computers get faster: performance is no longer an issue, we'll let hardware do the work. But if you're looking at this book, you're not one of them. Performance is always an issue. Even with the fastest computers, there's a need to harness the processing power and get more work done in a limited amount of time. If you're a software developer, you probably know that getting the most out of a modern workstation or PC can be tricky. Paying closer attention to memory reference patterns and loop structure can have a huge payoff. High Performance Computing discusses how modern workstations get their performance and how you can write code that makes optimal use of your hardware. You'll learn what the newest buzzwords really mean, how caching and other memory design features affect the way your software behaves, and where the newest "post-RISC" architectures are headed.

If you're involved with purchasing or evaluating workstations, this book will help you make intelligent comparisons. You'll learn how to interpret the commonly quoted industry benchmarks, what vendors do to show their machines in the best possible light, and how to run your own benchmarks. Whether you're using the latest Pentium PC or a highly specialized multiprocessor, you'll find High Performance Computing an indispensable guide. Topics covered include: CPU and memory architecture for RISC microprocessors and their successors Optimizing compilers Timing and profiling programs Understanding parallelism Loop and memory reference optimizations Benchmarking Parallel Computing and Multiprocessing

Autorenkommentar

What I think of this High Performance Computing book
Hello all - thanks for looking at my book. This is an excellent book for both computer scientists and non-computer scientists. In many ways high performance computing is moving from a research area to an applications area. Chemists, mechanical engineers, stockbrokers, airlines, and many more regularly use high performance computing in their science or business. This book could also be titled, "The Dummy's Guide to High Performance Computing" because it is written so that any reasonably computer knowledgeable person can learn from it. It focuses on straightforward examples of the current technology used to gain the maximum performance out of the largest and smallest computers. In addition to showing you how to program for maximum speed, the book also looks at how high performance computers are put together.

I feel that this is a fascinating topic even if you don't have a job in which you do fluid dynamics computations all day long.

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1 von 1 Kunden fanden die folgende Rezension hilfreich Von Ein Kunde am 23. April 1999
Format: Taschenbuch
This book provides great insight into the _performance_ of hardware. How can one be a good programmer without knowing how it is that data gets to memory, how data flows through the CPU and what it is in the hardware that makes ones code fast or slow? It amazes me that most of the developers that I work with are ignorant or could not care less about the effects of cache misses, what superscalar/superpipelined really means, and how a "improper" stride through their array can make the performance of their code deplorable. This book makes for a great read and is guaranteed to make a programmer a better programmer.
Kommentar War diese Rezension für Sie hilfreich? Ja Nein Feedback senden...
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1 von 1 Kunden fanden die folgende Rezension hilfreich Von Ein Kunde am 30. Juli 1999
Format: Taschenbuch
Materials covered in certain chapters are equivalent to a one semester class at MIT.. though in less detail, the lucid explanation of the fundamental concepts are impressive.. this book is a very good start for someone who has never touched the subject of Parallel Computing before.
Kommentar War diese Rezension für Sie hilfreich? Ja Nein Feedback senden...
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0 von 1 Kunden fanden die folgende Rezension hilfreich Von Ein Kunde am 20. April 1999
Format: Taschenbuch
It is an excellent book I have read. It includes the latest state of art IA-64 architure, RISC, compiler ...
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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)

Amazon.com: 4 Rezensionen
14 von 15 Kunden fanden die folgende Rezension hilfreich
very clear explanation of otherwise hard to grip concepts. 30. Juli 1999
Von Ein Kunde - Veröffentlicht auf Amazon.com
Format: Taschenbuch
Materials covered in certain chapters are equivalent to a one semester class at MIT.. though in less detail, the lucid explanation of the fundamental concepts are impressive.. this book is a very good start for someone who has never touched the subject of Parallel Computing before.
15 von 17 Kunden fanden die folgende Rezension hilfreich
Knowledge of software+hardware makes a complete programmer 23. April 1999
Von Ein Kunde - Veröffentlicht auf Amazon.com
Format: Taschenbuch
This book provides great insight into the _performance_ of hardware. How can one be a good programmer without knowing how it is that data gets to memory, how data flows through the CPU and what it is in the hardware that makes ones code fast or slow? It amazes me that most of the developers that I work with are ignorant or could not care less about the effects of cache misses, what superscalar/superpipelined really means, and how a "improper" stride through their array can make the performance of their code deplorable. This book makes for a great read and is guaranteed to make a programmer a better programmer.
4 von 5 Kunden fanden die folgende Rezension hilfreich
Excellent book on modern computing power 26. September 2001
Von Prasanna Meda - Veröffentlicht auf Amazon.com
Format: Taschenbuch
Explains very nicely and precisely the HW fundamentals of the multiprocessors, memory, RISC, insights in software and optimization concepts like register stacks and nested loops. Very much useful for not to get confused by the buzzwords in the super computer industry. Good book for both the engineers and managers of hardware companies. It is simple and non intrusive read. If you are new engineer in processor design or compiler architecture jobs, this book gives lot of insight and learning needed for your job. However this book is not a bible on computer architecture like Hennessy's books.
4 von 6 Kunden fanden die folgende Rezension hilfreich
Anybody work in numerical analysis can't miss this book. 20. April 1999
Von Ein Kunde - Veröffentlicht auf Amazon.com
Format: Taschenbuch
It is an excellent book I have read. It includes the latest state of art IA-64 architure, RISC, compiler ...
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