Abstract— In recent years our society has witnessed an unprecedented growth in computing power available to tackle important problems in science, engineering and medicine. For ex...
In parallel adaptive mesh refinement (AMR) computations the problem size can vary significantly during a simulation. The goal here is to explore the performance implications of dyn...
Over the past few years there has been increased interest in building custom computing machines (CCMs) as a way of achieving very high performance on specific problems. The advent...
David Abramson, Paul Logothetis, Adam Postula, Mar...
While Bayesian methods can significantly improve the quality of tomographic reconstructions, they require the solution of large iterative optimization problems. Recent results ind...
Parallel load balancing is studied for problems with certain bisection properties. A class of problems has bisectors if every problem p of weight wp in the class can be subdivided...