Code Optimization Techniques for Embedded Processors

1. Front Matter

   Pages i-viii

   PDF

2. Introduction

   • Rainer Leupers

   Pages 1-28

3. Memory Address Computation for DSPs

   • Rainer Leupers

   Pages 29-58

4. Register Allocation for DSP Data Paths

   • Rainer Leupers

   Pages 59-79

5. Instruction Scheduling for Clustered VLIW Processors

   • Rainer Leupers

   Pages 81-100

6. Code Selection for Multimedia Processors

   • Rainer Leupers

   Pages 101-125

7. Performance Optimization with Conditional Instructions

   • Rainer Leupers

   Pages 127-147

8. Function Inlining under Code Size Constraints

   • Rainer Leupers

   Pages 149-163

9. Frontend Issues — The LANCE System

   • Rainer Leupers

   Pages 165-180

10. Conclusions

    • Rainer Leupers

    Pages 181-182

11. Back Matter

    Pages 183-216

    PDF

The building blocks of today's and future embedded systems are complex intellectual property components, or cores, many of which are programmable processors. Traditionally, these embedded processors mostly have been pro­ grammed in assembly languages due to efficiency reasons. This implies time­ consuming programming, extensive debugging, and low code portability. The requirements of short time-to-market and dependability of embedded systems are obviously much better met by using high-level language (e.g. C) compil­ ers instead of assembly. However, the use of C compilers frequently incurs a code quality overhead as compared to manually written assembly programs. Due to the need for efficient embedded systems, this overhead must be very low in order to make compilers useful in practice. In turn, this requires new compiler techniques that take the specific constraints in embedded system de­ sign into account. An example are the specialized architectures of recent DSP and multimedia processors, which are not yet sufficiently exploited by existing compilers.

• Hardware
• algorithms
• architecture
• computer-aided design (CAD)
• design
• development
• digital signal processor
• embedded systems
• multimedia
• optimization
• programming
• quality
• software
• software development
• technology

• University of Dortmund, Germany

  Rainer Leupers

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