This paper describes an implementation of parallel LU factorization. The focus is to achieve high performance on non-dedicated clusters, where the number of available computing re...
Advances in Grid technology enable the deployment of data-intensive distributed applications, which require moving Terabytes or even Petabytes of data between data banks. The curr...
Silvia M. Figueira, Sumit Naiksatam, Howard J. Coh...
Grid computing promises the ability to share geographically and organizationally distributed resources to increase effective computational power and resource utilization. However,...
Youn-Seok Kim, Jung-Lok Yu, Jae-Gyoon Hahm, Jinsoo...
1 Scheduling resources on Grids is a well-known problem. The extension of Grids to LambdaGrids requires scheduling of lambdas, i.e., end-to-end high-speed circuits. In this paper, ...
In a Computational Grid which consists of many computer clusters, job start time predictions are useful to guide resource selections and balance the workload distribution. However...
Hui Li, David L. Groep, Jeffrey Templon, Lex Wolte...