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...
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Irregular parallel algorithms pose a significant challenge for achieving high performance because of the difficulty predicting memory access patterns or execution paths. Within an...
In this paper, we review parallel search techniques for approximating the global optimal solution of combinatorial optimization problems. Recent developments on parallel implementa...
Panos M. Pardalos, Leonidas S. Pitsoulis, Thelma D...
We developed a multithreaded parallel implementation of a sequence alignment algorithm that is able to align whole genomes with reliable output and reasonable cost. This paper pres...
Juan del Cuvillo, Xinmin Tian, Guang R. Gao, Milin...