Abstract. A new approach to develop parallel and distributed scheduling algorithms for multiprocessor systems is proposed. Its main innovation lies in evolving a decomposition of t...
Franciszek Seredynski, Jacek Koronacki, Cezary Z. ...
We describe a system for aggregating heterogeneous resources from distinct administrative domains into an enterprise-wide compute grid, such that the aggregated resource provides ...
In this paper, we study the problem of achieving efficient interaction in a distributed scheduling system whose scheduling agents may borrow resources from one another. Specifical...
Daniel E. Neiman, David W. Hildum, Victor R. Lesse...
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
One time-consuming task in the development of software is debugging. Recent work in fault localization crosschecks traces of correct and failing execution traces, it implicitly se...