Data-parallel programs are both growing in importance and increasing in diversity, resulting in specialized processors targeted at specific classes of these programs. This paper ...
Karthikeyan Sankaralingam, Stephen W. Keckler, Wil...
The nested data-parallel programming model supports the design and implementation of irregular parallel algorithms. This paper describes work in progress to incorporate nested data...
Brian Blount, Siddhartha Chatterjee, Michael Phili...
Scientific workflows are a powerful programming technique for specifying complex computations using a number of otherwise independent components. When used in a Grid environment, ...
In this work we present a parallel algorithm for the solution of a least squares problem with structured matrices. This problem arises in many applications mainly related to digit...
Pedro Alonso, Antonio M. Vidal, Alexey L. Lastovet...
In this paper we attempt to maximize the efficiency of the parallel Apriori Algorithm. The paper analyzes the performance of the algorithm over different datasets and over n proce...