Paperback. As computers become more complex, the number and complexity of the tasks facing the computer architect have increased. Computer performance often depends in complex way on the design parameters and intuition that must be supplemented by performance studies to enhance design productivity. This book introduces computer architects to computer system performance models and shows how they are relatively simple, inexpensive to implement, and sufficiently accurate for most purposes. It discusses the development of performance models based on queuing theory and probability. The text also shows how they are used to provide quick approximate calculations to indicate basic performance tradeoffs and narrow the range of parameters to consider when determining system configurations. It illustrates how performance models can demonstrate how a memory system is to be configured, what the cache structure should be, and what incremental changes in cache size can have on the miss rate. A particularly deep knowledge of probability theory or any other mathematical field to understand the papers in this volume is not required. As computers become more complex, the number and complexity of the tasks facing the computer architect also increase. Computer performance often depends on the design parameters and intuition that must be supplemented by performance studies to enhance design productivity. Performance Modeling for Computer Architects introduces computer architects to computer system performance models and shows how they are relatively simple, inexpensive to implement, and sufficiently accurate for most purposes. The book discusses the development of performance models based on queuing theory and probability. The text also shows how performance models are used to provide quick approximate calculations to indicate basic performance trade-offs and to narrow the range of parameters considered when determining system configurations. Performance models can demonstrate how a memory system is to be configured, what the cache structure should be, and what effect incremental changes in cache size can have on the miss rate. A particularly deep knowledge of probability theory or any other mathematical field is not required to understand the papers in this volume. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Detalles bibliogr�ficos

T�tulo

Performance Modeling for Computer Architects (Paperback)

Editor

IEEE Computer Society Press,U.S., Los Alamitos, CA

Fecha de publicaci�n

1995

Idioma

Ingl�s

ISBN 10

0818670940

ISBN 13

9780818670947

Encuadernaci�n

Paperback

Edici�n

1� Edici�n

Estado

new

Cat�logos de vendedores

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Sinopsis

As computers become more complex, the number and complexity of the tasks facing the computer architect have increased. Computer performance often depends in complex way on the design parameters and intuition that must be supplemented by performance studies to enhance design productivity.

This book introduces computer architects to computer system performance models and shows how they are relatively simple, inexpensive to implement, and sufficiently accurate for most purposes. It discusses the development of performance models based on queuing theory and probability. The text also shows how they are used to provide quick approximate calculations to indicate basic performance tradeoffs and narrow the range of parameters to consider when determining system configurations. It illustrates how performance models can demonstrate how a memory system is to be configured, what the cache structure should be, and what incremental changes in cache size can have on the miss rate. A particularly deep knowledge of probability theory or any other mathematical field to understand the papers in this volume is not required.

Acerca del autor

C. Mani Krishna is Professor of Electrical and Computer Engineering at the University of Massachusetts, Amherst. He received his PhD in Electrical Engineering from the University of Michigan in 1984.

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