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This title in other editions

Optimizing Compilers for Modern Architectures: A Dependence-Based Approach

by

Optimizing Compilers for Modern Architectures: A Dependence-Based Approach Cover

 

Synopses & Reviews

Publisher Comments:

Modern computer architectures designed with high-performance microprocessors offer tremendous potential gains in performance over previous designs. Yet their very complexity makes it increasingly difficult to produce efficient code and to realize their full potential. This landmark text from two leaders in the field focuses on the pivotal role that compilers can play in addressing this critical issue.

The basis for all the methods presented in this book is data dependence, a fundamental compiler analysis tool for optimizing programs on high-performance microprocessors and parallel architectures. It enables compiler designers to write compilers that automatically transform simple, sequential programs into forms that can exploit special features of these modern architectures.

The text provides a broad introduction to data dependence, to the many transformation strategies it supports, and to its applications to important optimization problems such as parallelization, compiler memory hierarchy management, and instruction scheduling. The authors demonstrate the importance and wide applicability of dependence-based compiler optimizations and give the compiler writer the basics needed to understand and implement them. They also offer cookbook explanations for transforming applications by hand to computational scientists and engineers who are driven to obtain the best possible performance of their complex applications.

The approaches presented are based on research conducted over the past two decades, emphasizing the strategies implemented in research prototypes at Rice University and in several associated commercial systems. Randy Allen and Ken Kennedy have provided an indispensable resource for researchers, practicing professionals, and graduate students engaged in designing and optimizing compilers for modern computer architectures.

Synopsis:

y of languages, including Fortran 77, C, hardware definition languages, Fortran 90, and High Performance Fortran.

  • Provides extensive references to the most sophisticated algorithms known in research.

  • Synopsis:

    anguages, Fortran 90, and High Performance Fortran.

  • Provides extensive references to the most sophisticated algorithms known in research.

  • About the Author

    Randy Allen received his A.B. summa cum laude in chemistry from Harvard University and his M.A. and Ph.D. in mathematical sciences from Rice University. After serving a research fellowship at Rice, Dr. Allen entered the practical world of industrial compiler construction. His career has spanned research, advanced development, and management at Ardent Computers, Sun Microsystems, Chronologic Simulation, Synopsys, and CynApps. He has authored or coauthored 15 conference and journal papers on computer optimization, restructuring compilers, and hardware simulation, and has served on program committees for Supercomputing and the Conference on Programming Language and Design Implementation. Mr. Allen is CEO and President of Catalytic Compilers.p> Ken Kennedy is the Ann and John Doerr Professor of Computational Engineering and Director of the Center for High Performance Software Research (HiPerSoft) at Rice University. He is a fellow of the Institute of Electrical and Electronics Engineers, the Association for Computing Machinery, and the American Association for the Advancement of Science and has been a member of the National Academy of Engineering since 1990. From 1997 to 1999, he served as cochair of the President's Information Technology Advisory Committee (PITAC). For his leadership in producing the PITAC report on funding of information technology research, he received the Computing Research Association Distinguished Service Award (1999) and the RCI Seymour Cray HPCC Industry Recognition Award (1999).

    Professor Kennedy has published over 150 technical articles and supervised 34 Ph.D. dissertations on programming support software for high-performance computer systems. In recognition of his contributions to software for high-performance computation, he received the 1995 W. Wallace McDowell Award, the highest research award of the IEEE Computer Society. In 1999, he was named the third recipient of the ACM SIGPLAN Programming Languages Achievement Award.

    Rice University

    Table of Contents

    signments

    Chapter 14 - Compiling High Performance Fortran

    Appendix - Fundamentals of Fortran 90

    References

    Index

    Product Details

    ISBN:
    9781558602861
    Author:
    Kennedy, Ken
    Author:
    Allen, John R.
    Author:
    Kennedy, Ken
    Author:
    Allen, Kennedy, Ken, Randy
    Author:
    Kennedy, Allen, Randy, Ken
    Publisher:
    Morgan Kaufmann Publishers
    Location:
    San Francisco, Calif.
    Subject:
    Computer Architecture
    Subject:
    High performance computing
    Subject:
    Compilers
    Subject:
    Compilers (computer programs)
    Subject:
    Compiling
    Subject:
    Computer Architecture - General
    Subject:
    Optimizing compilers
    Subject:
    Systems Architecture - General
    Subject:
    Software Engineering-Compilers
    Copyright:
    Edition Number:
    1st ed.
    Series Volume:
    124
    Publication Date:
    20011031
    Binding:
    HARDCOVER
    Language:
    English
    Illustrations:
    Yes
    Pages:
    790
    Dimensions:
    9.25 x 7.375 in

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    Optimizing Compilers for Modern Architectures: A Dependence-Based Approach New Hardcover
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    Product details 790 pages Morgan Kaufmann Publishers - English 9781558602861 Reviews:
    "Synopsis" by , y of languages, including Fortran 77, C, hardware definition languages, Fortran 90, and High Performance Fortran.

  • Provides extensive references to the most sophisticated algorithms known in research.

  • "Synopsis" by , anguages, Fortran 90, and High Performance Fortran.

  • Provides extensive references to the most sophisticated algorithms known in research.

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