## Parallel Computation: Second International ACPC Conference, Gmunden, Austria, October 4-6, 1993. ProceedingsThe Austrian Center for Parallel Computation (ACPC) is a cooperative research organization founded in 1989 to promote research and education in the field of software for parallel computer systems. The areas in which the ACPC is active include algorithms, languages, compilers, programming environments, and applications for parallel and high-performance computing systems. This volume contains the proceedings of the Second International Conference of the ACPC, held in Gmunden, Austria, October 1993. Authors from 17 countries submitted 44 papers, of which 15 were selected for inclusion in this volume, which also includes 4 invited papers by distinguished researchers. The volume is organized into parts on architectures (2 papers), algorithms (7 papers), languages (6 papers), and programming environments (4 papers). |

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### Contents

HighPerformance Computing on a Honeycomb Architecture | 1 |

Refined Local Instruction Scheduling Considering Pipeline Interlocks | 14 |

Microscopic and Macroscopic Dynamics | 26 |

Further Results of the Relaxed Timing Model for Distributed Simulation | 45 |

Pipelining Computations on Processor Arrays with Reconfigurable Bus Systems | 56 |

An Effective Algorithm for Computation of TwoDimensional Fourier Transform for NxM Matrices | 64 |

Rational Number Arithmetic by Parallel Padic Algorithms | 72 |

Parallel Versions for Shared Memory CREW Models | 87 |

Foundations of Practical Parallel Programming Languages | 115 |

Prototyping Parallel Algorithms with PROSETLinda | 135 |

Identifying the Available Parallelism Using Static Analysis | 151 |

Automatic Parallelization by PatternMatching | 166 |

Parallelization A Case Study | 182 |

PVM 3 Beyond Network Computing | 194 |

The Design of the PACLIB Kernel for Parallel Algebraic Computation | 204 |

Generating Parallel Code from Equations in the ObjectMath Programming Environments | 219 |

A Pipeline Algorithm for Interactive Volume Visualization | 105 |

The Promises and Limitations of High Performance Fortran | 114 |

The Paragon Performance Monitoring Environment | 233 |

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algebraic analysis application approach architecture array automatic basic blocks cells communication compiler complexity cycles data dependences data structures defined distributed computing distributed memory dynamic edges efficient elements environment equations evaluation event trace example execution facet Fortran function global graph implementation instructions integer interface iteration loop machine model mapping MasPar matching matrix MIMD Molecular Dynamics Multilisp multiple multiprocessor node ObjectMath operations optimal Orca p-adic PACLIB Paragon parallel algorithms parallel computers Parallel Processing Parallel Programming parameters parsable parsing partitioning path pattern performance monitoring Phase Abstractions possible prefix sums problem Proceedings processors programming languages programming model prototyping provides rational number reconfigurable mesh recursive runtime scheduling algorithm sequence sequential shared memory SIMD simulation solution specified SPMD step synchronization points task Technical Report technique templates Theorem tion transformation tuple space variable visualization volume voxels

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Page 218 - In Fourth ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, May 1993.