Modern electronics is driven by the explosive growth of digital communications and multi-media technology. Research efforts have emerged on the edge between software compilation and hardware synthesis, to develop high-quality code generation tools for embedded processors. This work provides a survey of these developments. Editor(s): Marwedel, Peter; Goossens, Gert. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 298 pages, biography. BIC Classification: T; UY. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 19. Weight in Grams: 609. . 1995. Hardback. . . . .

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Bibliographic Details

Title: Code Generation for Embedded Processors
Publisher: Kluwer Academic Publishers
Publication Date: 1995
Language: English
ISBN 10: 0792395778
ISBN 13: 9780792395775
Binding: Hardcover
Condition: New

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Synopsis

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 Systems 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 Systems is the essential introduction to this fast developing field of research for students, researchers, and practitioners alike.

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