Bulldog: A Compiler for VLIW Architectures (ACM Doctoral Dissertation Award 1985)

!±8± Bulldog: A Compiler for VLIW Architectures (ACM Doctoral Dissertation Award 1985)

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Post Date : Mar 15, 2012 22:57:37 | N/A

Bulldog: A Compiler for VLIW Architectures (ACM Doctoral Dissertation Award 1985)

Bulldog demonstrates that a symbiosis of new Very Long Instruction Word (VLIW) architectures and new compiling technology is practicable.

VLIW architectures are reduced-instruction-set machines with a large number of parallel, pipelined functional units but only a single thread of control. These machines offer the promise of an immediate order-of-magnitude increase in speed for general purpose scientific computing. However, a traditional compiler can't find enough parallelism in scientific programs to utilize a VLIW effectively. The Bulldog compiler described here uses several new compilation techniques: trace scheduling to find more parallelism, memory-reference and memorybank disambiguation to increase memory bandwidth, and new code-generation algorithms.

Although originally developed for VLIWs, many of the ideas in Bulldog could be applied to pipelined reduced-instruction-set architectures such as the MIPS. Ellis's experiments indicate that speed improvements of thirty to eighty percent are possible for scientific code on such machines.

John R. Ellis received his doctorate from Yale University and is currently Principal Software Engineer, Digital Equipment Corporation Systems Research Center, Palo Alto. Bulldog: A Compiler for VLIW Architectures is winner of the 1985 ACM Doctoral Dissertation Award.

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Optimizing Compilers for Modern Architectures: A Dependence-based Approach

!±8± Optimizing Compilers for Modern Architectures: A Dependence-based Approach

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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.

* Offers a guide to the simple, practical algorithms and approaches that are most effective in real-world, high-performance microprocessor and parallel systems.
* Demonstrates each transformation in worked examples.
* Examines how two case study compilers implement the theories and practices described in each chapter.
* Presents the most complete treatment of memory hierarchy issues of any compiler text.
* Illustrates ordering relationships with dependence graphs throughout the book.
* Applies the techniques to a variety 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.

• Engineering a Compiler, Second Edition
• Advanced Compiler Design and Implementation
• Programming Language Pragmatics, Third Edition
• Compilers: Principles, Techniques, and Tools (2nd Edition)
• High-Performance Compilers for Parallel Computing

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Meta-Level Architectures and Reflection: Second International Conference, Reflection'99 Saint-Malo, France, July 19-21, 1999 Proceedings (Lecture Notes in Computer Science)

!±8± Meta-Level Architectures and Reflection: Second International Conference, Reflection'99 Saint-Malo, France, July 19-21, 1999 Proceedings (Lecture Notes in Computer Science)

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Post Date : Mar 01, 2012 15:08:47 | Usually ships in 24 hours

This book constitutes the refereed proceedings of the Second International Conference on Meta-Level Architectures and Reflection, Reflection'99, held in St. Malo, France in July 1999. The 13 revised full papers presented were carefully selected from 44 submissions. Also included are six short papers and the abstracts of three invited talks. The papers are organized in sections on programming languages, meta object protocols, middleware/multi-media, work in progress, applications, and meta-programming. The volume covers all current issues arising in the design and analysis of reflective systems and demontrates their practical applications.

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