We investigate instruction distribution methods for quadcluster, dynamically-scheduled superscalar processors. We study a variety of methods with different cost, performance and c...
Anewheuristic algorithm is presented for mapping probes to locations along the genome,given noisy pairwise distance data as input. Themodel consideredis quite general: Theinput co...
Abstract. In this paper, we investigate the properties of commonly used prepruning heuristics for rule learning by visualizing them in PN-space. PN-space is a variant of ROC-space,...
This paper analyzes the best speeds that can be obtained for single-scalar multiplication with variable base point by combining a huge range of options: – many choices of coordin...
Daniel J. Bernstein, Peter Birkner, Tanja Lange, C...
Heuristic search using algorithms such as A and IDA is the prevalent method for obtaining optimal sequential solutions for classical planning tasks. Theoretical analyses of these ...