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A Study of Gridifying Scientific Computing Legacy Codes

机译:覆盖科学计算遗留码的研究

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In pre-Gridservice times, conventional way of pooling domain expertise is by sharing legacy codes. With the introduction and wide adoption of OGSA framework and OGSI specification, Grid computing has entered a new era of service-orientation, in which implementation of sharing domain expertise resorts to portable, interoperable Grid services. So comes the challenge to gridify existing scientific computing legacy codes (to convert to OGSI--compliant Grid services). This paper analyzes features of scientific legacy codes and proposes a design scheme of gridificaiton. The design scheme consists of three parts: gridified computing services; scientific computing Operation Providers(OPs); "on-demand" scientific computing factories. The design solution has been successfully applied to Bioinformatics field. Application scope tests show that the design solution applies to most types of scientific computing legacy codes. Performance experiments find that the proposed gridi-fication mechanisms bring about only slight efficiency loss.
机译:在Pre-GridService时代,汇总域专业知识的传统方式是共享传统代码。随着OGSA框架和OGSI规范的引言和广泛采用,网格计算已进入一个新的服务方向时代,其中实施共享域专业知识度假村,以便便携式可互操作的网格服务。因此,挑战是为了将现有的科学计算传统代码联系(转换为符合OGSI兼容网格服务)。本文分析了科学遗留码的特点,并提出了网格意义的设计方案。设计方案由三个部分组成:被广泛的计算服务;科学计算运营提供商(OPS); “按需”科学计算工厂。设计解决方案已成功应用于生物信息系统。应用范围测试表明,设计解决方案适用于大多数类型的科学计算传统代码。性能实验发现,所提出的网格辅机制只带来略有效率损失。

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