Data correlation is a well-known problem that causes difficulty in VLSI testing. Based on a correlation metric, an efficient heuristic to select BIST registers has been proposed...
Zhihong Zeng, Qiushuang Zhang, Ian G. Harris, Maci...
We present efficient all-to-all personalized communication algorithms for a 2D torus in wormhole-routed networks. Our complete exchange algorithm adopts divide-and-conquer approac...
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
This paper presents a static analysis tool that can automatically find memory leaks and deletions of dangling pointers in large C and C++ applications. We have developed a type s...
The aim of this paper is to strengthen the point made by Horty about the relationship between reason holism and moral particularism. In the literature prima facie obligations have ...