Typed Fusion with Applications to Parallel and Sequential Code Generation

  title={Typed Fusion with Applications to Parallel and Sequential Code Generation},
  author={Ken Kennedy and Kathryn S. McKinley},
Loop fusion is a program transformation that merges multiple loops into one and is an effective optimization both for increasing the granularity of parallel loops and for improving data locality. This paper introduces typed fusion, a formulation of loop fusion which captures the fusion and distribution problems encountered in sequential and parallel program optimization. Typed fusion is more general and applicable than previous work. We present a fast algorithm for a typed fusion on a graph G… CONTINUE READING
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A Global Approach to Detection of Parallelism

  • D. Callahan
  • PhD thesis,
  • 1987

Improving the Performance of Virtual Memory Computers

  • W. Abu-Sufah
  • PhD thesis, Dept. of Computer Science, University…
  • 1979

Analysis of programs for parallel processing

  • A. J. Bernstein
  • IEEE Transactions on Electronic Computers,
  • 1966

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