When a system fails to satisfy its specification, the model checker produces an error trace (or counter-example) that demonstrates an undesirable behavior, which is then used in d...
This paper addresses the physical hardware requirements necessary for a co-design hardware/software virtual machine to not only exist, but to also provide comparable performance w...
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Abstract. Many problems in computer science are related to scheduling problems or embedding problems. Therefore it is an interesting topic to find efficient (approximation) algori...
Abstract. This paper presents some interesting concepts of static dataflow machines that can be used by reconfigurable computing architectures. We introduce some data-driven reconf...