Code generation for embedded processors

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July 29, 2024 | History

Code generation for embedded processors

Modern electronics is driven by the explosive growth of digital communications and multi-media technology. A basic challenge is to design first-time-right complex digital systems, that meet stringent constraints on performance and power dissipation.

In order to combine this growing system complexity with an increasingly short time-to-market, new system design technologies are emerging based on the paradigm of embedded programmable processors. This concept introduces modularity, flexibility and re-use in the electronic system design process. However, its success will critically depend on the availability of efficient and reliable CAD tools to design, programme and verify the functionality of embedded processors.

Recently, new research efforts emerged on the edge between software compilation and hardware synthesis, to develop high-quality code generation tools for embedded processors. Code Generation for Embedded Processors provides a survey of these new developments. Although not limited to these targets, the main emphasis is on code generation for modern DSP processors.

Important themes covered by the book include: the scope of general purpose versus application-specific processors, machine code quality for embedded applications, retargetability of the code generation process, machine description formalisms, and code generation methodologies. Code Generation for Embedded Processors is the essential introduction to this fast developing field of research for students, researchers, and practitioners alike.

Publish Date
Language
English
Pages
298

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Cover of: Code generation for embedded processors
Code generation for embedded processors
1995, Kluwer Academic Publishers
in English

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Book Details


Edition Notes

Includes bibliographical references (p. 280-296) and index.

Published in
Boston

Classifications

Dewey Decimal Class
005.4/5
Library of Congress
TK7895.E42 C63 1995, QA75.5-76.95TA1-2040

The Physical Object

Pagination
298 p. :
Number of pages
298

Edition Identifiers

Open Library
OL892945M
ISBN 10
0792395778
LCCN
95183478
OCLC/WorldCat
33164568
Goodreads
1940898

Work Identifiers

Work ID
OL18155113W

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July 29, 2024 Edited by MARC Bot import existing book
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