—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facilit...
Sebastien Bratieres, Jurgen Van Gael, Andreas Vlac...
Information on the behavior of programs is essential for deciding the number and nature of functional units in high performance architectures. In this paper, we present studies on...
Lizy Kurian John, Vinod Reddy, Paul T. Hulina, Lee...
The problem of programmability on modern heterogeneous multicore and future manycore embedded platforms is still not solved satisfactorily: although many existing but incompatible ...
Lattice gas cellular automata (LGCA) models provide a relatively fast means of simulating fluid flow and can give both quantitative and qualitative insights into flow patterns aro...
Mitchel Johnson, Daniel P. Playne, Kenneth A. Hawi...
This paper presents a hybrid approach to automatic parallelization of computer programs which combines static extraction of threads (tasks) with dynamic scheduling for parallel an...
Ronald Moore, Melanie Klang, Bernd Klauer, Klaus W...