Abstract. In this paper, we propose an approach to automatic compiler parallelization based on language extensions that is applicable to a broader range of program structures and a...
Task dependencies drive the need to coordinate work activities. We describe a technique for using automatically generated archival data to compute coordination requirements, i.e.,...
Marcelo Cataldo, Patrick Wagstrom, James D. Herbsl...
Large-scale hosting infrastructures require automatic system anomaly management to achieve continuous system operation. In this paper, we present a novel adaptive runtime anomaly ...
This paper discusses the issues that arise in the design and implementation of an industrialstrength evolutionary-based system for the optimization of the monthly work schedules f...
Recent work on unsupervised feature learning has shown that learning on polynomial expansions of input patches, such as on pair-wise products of pixel intensities, can improve the...