We study the problem of scheduling independent tasks on a set of related processors which have a probability of failure governed by an exponential law. We are interested in the bi-...
A central problem in massively parallel computing is efficiently routing data between processors. This problem is complicated by two considerations. First, in any massively parall...
We explore runtime mechanisms and policies for scheduling dynamic multi-grain parallelism on heterogeneous multi-core processors. Heterogeneous multi-core processors integrate con...
Filip Blagojevic, Dimitrios S. Nikolopoulos, Alexa...
Abstract - Three dimensional computed tomography is a computationally intensive procedure, requiring large amounts of R A M and processing power. Parallel methods for two dimension...
David A. Reimann, Vipin Chaudhary, Michael J. Flyn...
A parallel computing approach for large-scale SPICE-accurate circuit simulation is described that is based on a new preconditioned iterative solver. The preconditioner involves the...
Heidi Thornquist, Eric R. Keiter, Robert J. Hoekst...