Allen / Kennedy | Optimizing Compilers for Modern Architectures | Buch | 978-1-55860-286-1 | sack.de

Buch, Englisch, 816 Seiten, Format (B × H): 196 mm x 245 mm, Gewicht: 1556 g

Allen / Kennedy

Optimizing Compilers for Modern Architectures

A Dependence-Based Approach

Buch, Englisch, 816 Seiten, Format (B × H): 196 mm x 245 mm, Gewicht: 1556 g

ISBN: 978-1-55860-286-1
Verlag: Elsevier Science


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.
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Zielgruppe


Programmers, designers and developers of conventional and supercomputing. Postgraduate level compiler and parallel processing courses


Autoren/Hrsg.


Weitere Infos & Material


Preface
Chapter 1 - Compiler Challenges for High-Performance Architectures
Chapter 2 - Dependence: Theory and Practice
Chapter 3 - Dependence Testing
Chapter 4 - Preliminary Transformations
Chapter 5 - Enhancing Fine-Grained Parallelism
Chapter 6 - Creating Coarse-Grained Parallelism
Chapter 7 - Handling Control Flow
Chapter 8 - Improving Register Usage
Chapter 9 - Managing Cache
Chapter 10 - Scheduling
Chapter 11 - Interprocedural Analysis and Optimization
Chapter 12 - Dependence in C and Hardware Design
Chapter 13 - Compiling Array Assignments
Chapter 14 - Compiling High Performance Fortran
Appendix - Fundamentals of Fortran 90
References
Index


Kennedy, Ken
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.

Allen, Randy
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.


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