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A web-based parallel PDE solver generation system for distributed memory computing environments

Authors: null Chao-Jen Lee; null Yeh-Ching Chung;

A web-based parallel PDE solver generation system for distributed memory computing environments

Abstract

The finite element method is widely applied to many domains, such as engineering, atmology, oceanography, biology, etc. The major drawback of the finite element method is that its execution takes a lot of time and memory spaces. Due to the computation-intensiveness and computation-locality properties, we can use the parallel processing method to improve the performance of the finite element method on distributed memory computing environments. However, it is quite difficult to program the finite element method on a distributed memory computing environment. Therefore, the development of a front-end parallel partial differential equations solver generation system is important. In this paper, we want to develop a front-end parallel partial differential equations solver generation system based on the World Wide Web on a distributed-memory computing environment, such as a PC cluster, a workstation cluster, etc. With the system, users who want to use parallel computers to solver partial differential equations can use web browser to input data and parameters. The system will automatically generate the corresponding parallel codes and execute the codes on the distributed memory computing environment. The execution result will be shown on the web browser. The results can also be download by user.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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