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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Code Optimization Techniques for Embedded Processors: Methods, Algorithms, and Tools

Code Optimization Techniques for Embedded Processors: Methods, Algorithms, and Tools

Leupers, Rainer

Paperback

General ComputersProgramming

ISBN10: 1441950109
ISBN13: 9781441950109
Publisher: Springer Nature
Published: Oct 29 2010
Pages: 216
Weight: 0.79
Height: 0.60 Width: 6.10 Depth: 9.30
Language: English
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.

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