Instruction set customization accelerates the performance of applications by compressing the length of critical dependence paths and reducing the demands on processor resources. W...
Sami Yehia, Nathan Clark, Scott A. Mahlke, Kriszti...
Ranged hash functions generalize hash tables to the setting where hash buckets may come and go over time, a typical case in distributed settings where hash buckets may correspond ...
Learning of a smooth but nonparametric probability density can be regularized using methods of Quantum Field Theory. We implement a field theoretic prior numerically, test its eff...
Abstract. In current dynamic business environment, it has been argued that certain characteristics of ad-hocism in business processes are desirable. Such business processes typical...
An important challenge within hyper-heuristic research is to design search methodologies that work well, not only across different instances of the same problem, but also across di...
Edmund K. Burke, Timothy Curtois, Matthew R. Hyde,...