Problem Solving Environment (PSE) in Scientific Computing
Shigeo Kawata, Utsunomiya University
Soonwook Hwang, Korea Institute of Science and Technology Information
Dong Soo Han, Korea Advanced Institute of Science and Technology
Shinji Hioki, Tezukayama University
Kazuo Kashiyama, Chuo University
Yukio Umetani, Shizuoka University
Masami Matsumoto, Yonago National College of Technology
Problem Solving Environment (PSE) is an emerging scientific and technological active area in computing science. PSEs provide innovative computational facilities for easy incorporation of novel solution methods to solve a target class of problems in computing environments, distributed and heterogeneous resources, and collaborative environments.
Key issues addressed in this mini-symposium include PSE for Cloud environment, PSE for collaborations, PSE for heterogeneous distributed system management, PSE for application developments, PSE for scientific computing and PSE for education, as well as PSEs for eScience-relating issues.
PSEs provide computational facilities to solve target problems in the novel way in the fields presented above. For example, Cloud and distributed systems are complicated, and contain huge information systems including heterogeneous computer hardware resources, application software, middleware, experimental instruments, and so on. The PSEs are facilities to help users work on the complicated systems. The PSE researches and technology have been intensively explored, and at present the PSEs have started to realize the PSE dream.
The PSE-relating studies were started in 1970’s to provide a higher-level programming language than Fortran, etc. in scientific computations. The trend at that time was natural to deliver more human-friendly programming environment, and was resulting in PSE, CAE (Computer Assisted Engineering), libraries, etc. After the intensive developments in computer hardware and also in computer algorithms, researchers and engineers had expected an innovation in program writing and developing power. However, the enhancement in the programming power was relatively slow and weak compared with the enormous evolutions in the present hardware and algorithm power enhancements.
At present PSE covers a rather wide area, for example, program generation support PSEs, education support PSEs, CAE software learning support PSEs, Grid/Cloud computing support PSEs, job execution support PSEs, e-Learning support PSEs, uncertainty management PSE , etc.
Shigeo Kawata, Utsunomiya University
Soonwook Hwang, Korea Institute of Science and Technology Information
Dong Soo Han, Korea Advanced Institute of Science and Technology
Shinji Hioki, Tezukayama University
Kazuo Kashiyama, Chuo University
Yukio Umetani, Shizuoka University
Masami Matsumoto, Yonago National College of Technology
Problem Solving Environment (PSE) is an emerging scientific and technological active area in computing science. PSEs provide innovative computational facilities for easy incorporation of novel solution methods to solve a target class of problems in computing environments, distributed and heterogeneous resources, and collaborative environments.
Key issues addressed in this mini-symposium include PSE for Cloud environment, PSE for collaborations, PSE for heterogeneous distributed system management, PSE for application developments, PSE for scientific computing and PSE for education, as well as PSEs for eScience-relating issues.
PSEs provide computational facilities to solve target problems in the novel way in the fields presented above. For example, Cloud and distributed systems are complicated, and contain huge information systems including heterogeneous computer hardware resources, application software, middleware, experimental instruments, and so on. The PSEs are facilities to help users work on the complicated systems. The PSE researches and technology have been intensively explored, and at present the PSEs have started to realize the PSE dream.
The PSE-relating studies were started in 1970’s to provide a higher-level programming language than Fortran, etc. in scientific computations. The trend at that time was natural to deliver more human-friendly programming environment, and was resulting in PSE, CAE (Computer Assisted Engineering), libraries, etc. After the intensive developments in computer hardware and also in computer algorithms, researchers and engineers had expected an innovation in program writing and developing power. However, the enhancement in the programming power was relatively slow and weak compared with the enormous evolutions in the present hardware and algorithm power enhancements.
At present PSE covers a rather wide area, for example, program generation support PSEs, education support PSEs, CAE software learning support PSEs, Grid/Cloud computing support PSEs, job execution support PSEs, e-Learning support PSEs, uncertainty management PSE , etc.
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