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On the Easy Use of Scientific Computing Services for Large Scale Linear Algebra and Parallel Decision Making with the P-Grade Portal

机译:通过P级门户轻松使用科学计算服务进行大规模线性代数计算和并行决策

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Scientific research is becoming increasingly dependent on the large-scale analysis of data using distributed computing infrastructures (Grid, cloud, GPU, etc.). Scientific computing (Petitet et al. 1999) aims at constructing mathematical models and numerical solution techniques for solving problems arising in science and engineering. In this paper, we describe the services of an integrated portal based on the P-Grade (Parallel Grid Run-time and Application Development Environment) portal (http://​www.​p-grade.​hu) that enables the solution of large-scale linear systems of equations using direct solvers, makes easier the use of parallel block iterative algorithm and provides an interface for parallel decision making algorithms. The ultimate goal is to develop a single sign on integrated multi-service environment providing an easy access to different kind of mathematical calculations and algorithms to be performed on hybrid distributed computing infrastructures combining the benefits of large clusters, Grid or cloud, when needed.
机译:科学研究越来越依赖于使用分布式计算基础结构(网格,云,GPU等)的大规模数据分析。科学计算(Petitet等,1999)旨在构建数学模型和数值求解技术,以解决科学和工程领域出现的问题。在本文中,我们描述了基于P-Grade(并行网格运行时和应用程序开发环境)门户(http://www.p-grade.hu)的集成门户的服务,该门户可实现该解决方案使用直接求解器的大规模线性方程组的创建,使并行块迭代算法的使用更加容易,并为并行决策算法提供了接口。最终目标是在集成的多服务环境中开发一个单一的标志,以便在需要时可以轻松访问要在混合分布式计算基础架构上执行的各种数学计算和算法,并结合大型集群,网格或云的优势。

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