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Code Restructuring for Improving Real Time Response through Code Speed, Size Trade-offs on Limited Memory Embedded DSPs

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Languages and Compilers for Parallel Computing (LCPC 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1863))

Abstract

Embedded systems are constrained by limited on-chip memory and by real time performance requirements. The traditional approach to solve these problems has been to write the embedded code in assembly language, which can no longer be followed due to the increasing complexity of the embedded systems. Programming in high-level language simplifies the software development cycle, incurring a code size and a performance penalty. Traditional compiler optimizations have focussed on improving code speed rather than code density or code size. We present optimizations that improve code density and performance.

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References

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Author information

Authors and Affiliations

  1. Compiler Research Laboratory, Department of Electrical & Computer Engineering and Computer Science, University of Cincinnati, PO Box 210030, Cincinnati, OH, 45221-0030

    Vipin Jain, Siddharth Rele & Santosh Pande

  2. Department of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, LA, 70803

    J. Ramanujam

Authors
  1. Vipin Jain
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  2. Siddharth Rele
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  3. Santosh Pande
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  4. J. Ramanujam
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0114, USA

    Larry Carter  & Jeanne Ferrante  & 

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© 2000 Springer-Verlag Berlin Heidelberg

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Jain, V., Rele, S., Pande, S., Ramanujam, J. (2000). Code Restructuring for Improving Real Time Response through Code Speed, Size Trade-offs on Limited Memory Embedded DSPs. In: Carter, L., Ferrante, J. (eds) Languages and Compilers for Parallel Computing. LCPC 1999. Lecture Notes in Computer Science, vol 1863. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44905-1_31

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  • DOI: https://doi.org/10.1007/3-540-44905-1_31

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67858-8

  • Online ISBN: 978-3-540-44905-8

  • eBook Packages: Springer Book Archive

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