—While many-core accelerator architectures, such as today’s Graphics Processing Units (GPUs), offer orders of magnitude more raw computing power than contemporary CPUs, their m...
Aaron Ariel, Wilson W. L. Fung, Andrew E. Turner, ...
Abstract--Interior-point methods are state-of-the-art algorithms for solving linear programming (LP) problems with polynomial complexity. Specifically, the Karmarkar algorithm typi...
Danny Bickson, Yoav Tock, Ori Shental, Danny Dolev
A second-order hierarchical uncertainty model of a system of independent random variables is studied in the paper. It is shown that the complex nonlinear optimization problem for ...
Abstract. This paper develops a highly expressive semantic framework for program refinement that supports both temporal reasoning and reasoning about the knowledge of a single agen...
Modern computer architectures have complex features that can only be fully taken advantage of if the compiler schedules the compiled code. A standard region of code for scheduling ...
Abid M. Malik, Michael Chase, Tyrel Russell, Peter...