Parallel Computation

1. Front Matter

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2. High-performance computing on a honeycomb architecture

   • Borut Robič, Jurij Šilc

   Pages 1-13

3. Refined local instruction scheduling considering pipeline interlocks

   • Jörg Schepers

   Pages 14-25

4. Microscopic and macroscopic dynamics

   • Wm. G. Hoover, C. G. Hoover, A. J. De Groot, T. G. Pierce

   Pages 26-44

5. Further results of the relaxed timing model for distributed simulation

   • Álvaro Garcia Neto

   Pages 45-55

6. Pipelining computations on processor arrays with reconfigurable bus systems

   • Hossam ElGindy

   Pages 56-63

7. An effective algorithm for computation of two-dimensional fourier transform for NxM matrices

   • Maria Lucka

   Pages 64-71

8. Rational number arithmetic by parallel p-adic algorithms

   • Carla Limongelli, Hans Wolfgang Loidl

   Pages 72-86

9. Shortest non-synchronized motions parallel versions for shared memory crew models

   • Sabine Stifter

   Pages 87-104

10. A pipeline algorithm for interactive volume visualization

    • Alfred Spalt

    Pages 105-113

11. Data parallel programming: The promises and limitations of high performance fortran

    • Piyush Mehrotra

    Pages 114-114

12. Foundations of practical parallel programming languages

    • Lawrence Snyder

    Pages 115-134

13. Prototyping parallel algorithms with proset-Linda

    • Wilhelm Hasselbring

    Pages 135-150

14. Identifying the available parallelism using static analysis

    • Spiridon Kalogeropulos

    Pages 151-165

15. Automatic parallelization by pattern-matching

    • Christoph W. Keßler, Wolfgang J. Paul

    Pages 166-181

16. Parallelization — A case study

    • Jürgen Lampe

    Pages 182-193

17. PVM 3 beyond network computing

    • G. A. Geist

    Pages 194-203

18. The design of the PACLIB kernel for parallel algebraic computation

    • Wolfgang Schreiner, Hoon Hong

    Pages 204-218

19. Generating parallel code from equations in the ObjectMath programming environments

    • Peter Fritzson, Niclas Andersson

    Pages 219-232

20. The paragon performance monitoring environment

    • Bernhard Ries, R. Anderson, W. Auld, D. Breazeal, K. Callaghan, E. Richards et al.

    Pages 233-248

The 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).

• Parallele Architekturen
• algorithm
• algorithms
• compiler
• parallel architectures
• parallel languages
• parallel processing
• parallel programming
• programming
• algorithm analysis and problem complexity

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