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An algebraic approach to performance analysis

  • Dieter Müller-Wichards
Part IV - Algorithms And Applications
Part of the Lecture Notes in Computer Science book series (LNCS, volume 295)

Keywords

Memory Hierarchy Derivation Rule Application Algebra Vector Instruction Semigroup Operation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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6. References

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    G. Amdahl The Validity of the Single Processor Approach to Achieving Large Scale Computing Capabilities AFIPS Conference Proceedings, Vol 30, 1967Google Scholar
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    K. Ekanadham private communicationGoogle Scholar
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    D. Kuck The Structure of Computers and Computations, Vol 1 Wiley & Sons, 1978Google Scholar
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    B. Liu, N. Strother Peak Vector Performance from VS Fortran to appearGoogle Scholar
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    D.G. Luenberger Optimization by Vector Space Methods Wiley & Sons, 1969Google Scholar
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    J. Martin, D. Müller-Wichards Supercomputer Performance Evaluation: Status and Directions Journal of Supercomputing to appear in Vol 1, (1986)Google Scholar
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    D. Müller-Wichards Performance Estimates for Applications: an Algebraic Framework to appear in Parallel ComputingGoogle Scholar
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    C.H. Papadimitriou, K. Steiglitz Combinatorial Optimization: Algorithms and Complexity Prentice Hall, Englewood Cliffs, N.J., 1982Google Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • Dieter Müller-Wichards
    • 1
  1. 1.German Aerospace Research Establishment (DFVLR)Göttingen

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