Computer-Assisted Parallel Program Generation

Author:

Kawata Shigeo1

Affiliation:

1. Utsunomiya University, Japan

Abstract

Parallel computation is widely employed in scientific researches, engineering activities, and product development. Parallel program writing itself is not always a simple task depending on problems solved. Large-scale scientific computing, huge data analyses, and precise visualizations, for example, would require parallel computations, and the parallel computing needs the parallelization techniques. In this chapter, a parallel program generation support is discussed, and a computer-assisted parallel program generation system, P-NCAS, is introduced. Computer-assisted problem solving is one of key methods to promote innovations in science and engineering, and contributes to enrich our society and our life toward a programming-free environment in computing science. Problem-solving environments (PSE) research activities started to enhance the programming power in 1970s. The P-NCAS is one of the PSEs; the PSE concept provides an integrated human-friendly computational software and hardware system to solve a target class of problems.

Publisher

IGI Global

Reference26 articles.

1. Boonmee, C., & Kawata, S. (1998a). Computer-Assisted Simulation Environment for Partial-Differential-Equation Problem, 1. Data Structure and Steering of Problem Solving Process. Transaction of the Japan Society for Computational Engineering and Science, Paper No. 19980001.

2. Boonmee, C., & Kawata, S. (1998b). Computer-Assisted Simulation Environment for Partial-Differential-Equation Problem: 2. Visualization and Steering of Problem Solving Process. Transaction of the Japan Society for Computational Engineering and Science, Paper No. 19980002.

3. Accuracy and Reliability in Scientific Computing

4. Finite Element Description System as a Mid-Layer of PSE.;H.Fujio;Proceedings of Conference on Computation Engineering and Science,1998

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