Performance Modeling for Computer Architects - Info and Reading Options
By C. M. Krishna

"Performance Modeling for Computer Architects" is published by Wiley-IEEE Computer Society Pr in September 30, 1995, it has 408 pages and the language of the book is English.
“Performance Modeling for Computer Architects” Metadata:
- Title: ➤ Performance Modeling for Computer Architects
- Author: C. M. Krishna
- Language: English
- Number of Pages: 408
- Publisher: Wiley-IEEE Computer Society Pr
- Publish Date: September 30, 1995
“Performance Modeling for Computer Architects” Subjects and Themes:
- Subjects: Electronic digital computers - Mathematical models - Computer simulation - Evaluation - Electronic digital computers, design and construction
Edition Specifications:
- Format: Paperback
- Weight: 2.1 pounds
- Dimensions: 10.8 x 8.5 x 1 inches
Edition Identifiers:
- The Open Library ID: OL11390034M - OL3336687W
- Online Computer Library Center (OCLC) ID: 32389061
- Library of Congress Control Number (LCCN): 95014981
- ISBN-13: 9780818670947
- ISBN-10: 0818670940
- All ISBNs: 0818670940 - 9780818670947
AI-generated Review of “Performance Modeling for Computer Architects”:
"Performance Modeling for Computer Architects" Description:
The Open Library:
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.
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