In this paper, we show how t o minimize data shar-ang overhead required in most pamllel a1 oriihms, es-pecially in Large-scale Data-Parallel &SDP) algo-n thms, on a 2D mesh. T w o s ecific issues are ad-dressed in this study. O n e is w!at the optimal group s u e as, i.e., how many PES should share a copy of shared data. The other is where $he replicated data should be allocated.
Graph partitioning has been shown to be an effective way to divide a large computation over an arbit...
[[abstract]]We discuss how to design parallel algorithms based upon the divide-and-conquer strategy....
Efficient data access is one way of improving the performance of the Data Grid. In order to speed up...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and...
Grid is a distributed system that enables dynamic aggregation of geographically dislocated computing...
Most methods for programming loosely-coupled systems are based on message-passing. Recently, however...
Abstract—We present a data replication framework for dis-tributed graph processing. First we partiti...
International audienceDumping large amounts of related data simulta-neously to local storage devices...
Grids are being used for executing parallel applications over remote resources. For executing a para...
Parallelism, Optimal Data Distribution/Collection, P3L This document describes the MAP paradigm of ...
Despite their clear advantage in scalability, two-dimensional data distributions are not efficiently...
Abstract--Grid computing provides virtual organizations of geographically distributed users with sof...
The problem of disk declustering is to distribute data among multiple disks to reduce query response...
Recently, an interesting dynamic data allocation algorithm for the management of replicated data in ...
Increasing need for large-scale data analytics in a number of ap-plication domains has led to a dram...
Graph partitioning has been shown to be an effective way to divide a large computation over an arbit...
[[abstract]]We discuss how to design parallel algorithms based upon the divide-and-conquer strategy....
Efficient data access is one way of improving the performance of the Data Grid. In order to speed up...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and...
Grid is a distributed system that enables dynamic aggregation of geographically dislocated computing...
Most methods for programming loosely-coupled systems are based on message-passing. Recently, however...
Abstract—We present a data replication framework for dis-tributed graph processing. First we partiti...
International audienceDumping large amounts of related data simulta-neously to local storage devices...
Grids are being used for executing parallel applications over remote resources. For executing a para...
Parallelism, Optimal Data Distribution/Collection, P3L This document describes the MAP paradigm of ...
Despite their clear advantage in scalability, two-dimensional data distributions are not efficiently...
Abstract--Grid computing provides virtual organizations of geographically distributed users with sof...
The problem of disk declustering is to distribute data among multiple disks to reduce query response...
Recently, an interesting dynamic data allocation algorithm for the management of replicated data in ...
Increasing need for large-scale data analytics in a number of ap-plication domains has led to a dram...
Graph partitioning has been shown to be an effective way to divide a large computation over an arbit...
[[abstract]]We discuss how to design parallel algorithms based upon the divide-and-conquer strategy....
Efficient data access is one way of improving the performance of the Data Grid. In order to speed up...