C Compilers for ASIPs

Automatic Compiler Generation with LISA

  • Manuel Hohenauer
  • Rainer Leupers

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Manuel Hohenauer, Rainer Leupers
    Pages 1-5
  3. Manuel Hohenauer, Rainer Leupers
    Pages 7-13
  4. Manuel Hohenauer, Rainer Leupers
    Pages 15-31
  5. Manuel Hohenauer, Rainer Leupers
    Pages 33-43
  6. Manuel Hohenauer, Rainer Leupers
    Pages 45-55
  7. Manuel Hohenauer, Rainer Leupers
    Pages 57-83
  8. Manuel Hohenauer, Rainer Leupers
    Pages 85-93
  9. Manuel Hohenauer, Rainer Leupers
    Pages 95-126
  10. Manuel Hohenauer, Rainer Leupers
    Pages 127-150
  11. Manuel Hohenauer, Rainer Leupers
    Pages 151-159
  12. Manuel Hohenauer, Rainer Leupers
    Pages 161-163
  13. Back Matter
    Pages 1-56

About this book

Introduction

C Compilers for ASIPs: Automatic Compiler Generation with LISA

by:

Manuel Hohenauer

Rainer Leupers

The ever increasing complexity and performance requirements of modern electronic devices are changing the way embedded systems are designed and implemented today. The current trend is towards programmable System-on-Chip platforms which employ an increasing number of Application Specific Instruction-set Processors (ASIPs) as building blocks. ASIP design platforms comprise retargetable software development tools that can be adapted quickly to varying target processor configurations. Such tools are usually driven by a processor model given in an Architecture Description Language (ADL), such as LISA. One of the major challenges in this context is retargetable compilation for high-level programming languages like C. First of all, an ADL must capture the architectural information needed for the tool generation in an unambiguous and consistent way. This is particularly difficult for compiler and instruction-set simulator. Moreover, there exists a trade-off between the compiler's flexibility and the quality of compiled code.

This book presents a novel approach for ADL-based instruction-set description in order to enable the automatic retargeting of the complete software toolkit from a single ADL processor model. Additionally, this book includes retargetable optimization techniques for architectures with SIMD and Predicated Execution support. Both allows a high speedup in compiler generation and combines high flexibility with acceptable code quality at the same time. Coverage includes a comprehensive overview of retargetable compilers and ADL based processor design, a methodology and related toolkit to generate a C-compiler fully automatically from an ADL processor model, and retargetable code optimization techniques.

  • Presents a strong background and various perspectives of architecture description language (ADL)-based processor design and the retargetable compilation problem;
  • Provides the history of ADL based processor design, making the reader knowledgeable about the past research as well as the difficulties faced over time;
  • Offers an ADL based modelling formalism and corresponding implementation methods, which can be used for automatic compiler retargeting to quickly obtain compiler support for newly developed ASIPs;
  • Presents retargetable optimization techniques for common ASIP features, which can be quickly adapted to varying target processor configurations and help to meet the stringent performance requirements of embedded applications.

Keywords

ASIP Application Specific Instruction-set Processor Architecture Description Language Automatic Compiler Generation EDA LISA Retargetable Optimization architecture design automation electronic design automation integrated circuit model

Authors and affiliations

  • Manuel Hohenauer
    • 1
  • Rainer Leupers
    • 2
  1. 1.Lehr- und Forschungsgebiet für, Software für Systeme auf SiliziumRWTH AachenAachenGermany
  2. 2.RWTH Aachen UniversityAachenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-1176-6
  • Copyright Information Springer Science+Business Media, LLC 2010
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4419-1175-9
  • Online ISBN 978-1-4419-1176-6
  • About this book