Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
In this paper we study the performance improvements and trade-offs derived from an optimized mapping approach applied on a parametric coarse grained reconfigurable array architect...
Grigoris Dimitroulakos, Michalis D. Galanis, Const...
Dynamic networks are those where the topology changes over time and therefore efficient routes need to be maintained by frequent updates. Such updates could be costly in terms of ...
Dominique Tschopp, Suhas N. Diggavi, Matthias Gros...
Current instruction fetch policies in SMT processors are oriented towards optimization of overall throughput and/or fairness. However, they provide no control over how individual ...
Francisco J. Cazorla, Peter M. W. Knijnenburg, Riz...
A constraint satisfiability problem consists of a set of variables, their associated domains (i.e., the set of values the variable can take) and a set of constraints on these vari...