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The Microarchitecture of Pipelined and Superscalar Computers [electronic resource] /
This book is intended to serve as a textbook for a second course in the im plementation (Le. microarchitecture) of computer architectures. The subject matter covered is the collection of techniques that are used to achieve the highest performance in single-processor machines; these techniques center the exploitation of low-level parallelism (temporal and spatial) in the processing of machine instructions. The target audience consists students in the final year of an undergraduate program or in the first year of a postgraduate program in computer science, computer engineering, or electrical engineering; professional computer designers will also also find the book useful as an introduction to the topics covered. Typically, the author has used the material presented here as the basis of a full-semester undergraduate course or a half-semester post graduate course, with the other half of the latter devoted to multiple-processor machines. The background assumed of the reader is a good first course in computer architecture and implementation - to the level in, say, Computer Organization and Design, by D. Patterson and H. Hennessy - and familiarity with digital-logic design. The book consists of eight chapters: The first chapter is an introduction to all of the main ideas that the following chapters cover in detail: the topics covered are the main forms of pipelining used in high-performance uniprocessors, a taxonomy of the space of pipelined processors, and performance issues. It is also intended that this chapter should be readable as a brief "stand-alone" survey.
| Main Authors: | , |
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| Format: | Texto biblioteca |
| Language: | eng |
| Published: |
Boston, MA : Springer US : Imprint: Springer,
1999
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| Subjects: | Computer science., Microprogramming., Microprocessors., Architecture, Computer., Electrical engineering., Computer Science., Computer System Implementation., Processor Architectures., Control Structures and Microprogramming., Computer Science, general., Electrical Engineering., |
| Online Access: | http://dx.doi.org/10.1007/978-1-4757-2989-4 |
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