Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1750)
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About this book
MMIX is a RISC computer designed by Don Knuth to illustrate machine-level aspects of programming. In the author's book series "The Art of Computer Programming", MMIX replaces the 1960s-style machine MIX. A particular goal in the design of MMIX was to keep its machine language simple, elegant, and easy to learn. At the same time, all of the complexities needed to achieve high performance in practice are taken into account.
This book constitutes a collection of programs written in CWEB that make MMIX a virtual reality. Among other utilities, an assembler converting MMIX symbolic files to MMIX objects and two simulators executing the programs in given object files are provided. The latest version of all programs can be downloaded from MMIX's home page. The book provides a complete documentation of the MMIX computer and its assembly language. It also presents mini-indexes, which make the programs much easier to understand.
A corrected reprint of the book has been published in August 2014, replacing the version of 1999.
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Keywords
Table of contents (11 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: MMIXware
Book Subtitle: A RISC Computer for the Third Millennium
Authors: Donald E. Knuth
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-46611-8
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Author and Springer-Verlag Berlin Heidelberg 1999
Softcover ISBN: 978-3-540-66938-8Published: 03 December 1999
eBook ISBN: 978-3-540-46611-6Published: 26 June 2003
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 550
Topics: Software Engineering/Programming and Operating Systems, Computer Applications, Computer Hardware, Computer Systems Organization and Communication Networks, Computation by Abstract Devices, Algorithm Analysis and Problem Complexity