NetSolve: Grid enabling scientific computing environments
نویسندگان
چکیده
The purpose of NetSolve is to create the middleware necessary to provide a seamless bridge between the simple, standard programming interfaces and desktop systems that dominate the work of computational scientists and the rich supply of services supported by the emerging Grid architecture, so that the users of the former can easily access and reap the benefits (shared processing, storage, software, data resources, etc.) of using the latter.
منابع مشابه
GridSolve: The Evolution of A Network Enabled Solver
GridSolve is a stubless RPC-based client-agent-server system for remotely accessing hardware and software resources. GridSolve emphasizes ease-of-use for the user and includes resource monitoring, scheduling and service-level fault-tolerance. In addition to providing Fortran and C clients, GridSolve enables scientific computing environments (such as Matlab) to be used as clients, so domain scie...
متن کاملDeploying Fault-Tolerance and Task Migration with NetSolve
Computational power grids are computing environments with massive resources for processing and storage. While these resources may be pervasive, harnessing them is a major challenge for the average user. NetSolve is a software environment that addresses this concern. A fundamental feature of NetSolve is its integration of fault-tolerance and task migration in a way that is transparent to the end...
متن کاملDeploying fault tolerance and taks migration with NetSolve
Computational power grids are computing environments with massive resources for processing and storage. While these resources may be pervasive, harnessing them is a major challenge for the average user. NetSolve is a software environment that addresses this concern. A fundamental feature of NetSolve is its integration of fault-tolerance and task migration in a way that is transparent to the end...
متن کاملAn Asynchronous Algorithm on NetSolve Global Computing System
The Explicitly Restarted Arnoldi Method (ERAM) allows to find a few eigenpairs of a large sparse matrix. The Multiple Explicitly Restarted Arnoldi Method (MERAM) is a technique based upon a multiple projection of ERAM and accelerates its convergence [3]. The MERAM allows to update the restarting vector of an ERAM by taking the interesting eigen-information obtained by the other ones into accoun...
متن کاملAdding Data Persistence and Redistribution to NetSolve
The implementation of Network Enabled Servers (NES) on grid environments requires to lower the cost of communications. NetSolve, a NES environment developed at University of Tennessee Knoxville, sends data back to the client at the end of every computation. This implies unneeded communications when computed data are needed by an other server in further computations. In this paper, we present th...
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تاریخ انتشار 2004