This paper presents a layout generation tool that aims to reduce the gap between electrical sizing and physical realization of high performance analog circuits. The procedural lay...
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...
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
We present in this paper a multilevel floorplanning/placement framework based on the B*-tree representation, called MB*-tree, to handle the floorplanning and packing for large-sca...
Scheduling DAGs with communication times is the theoretical basis for achieving efficient parallelism on distributed memory systems. We generalize Graham's task-level in a ma...