Stream compaction is a common parallel primitive used to remove unwanted elements in sparse data. This allows highly parallel algorithms to maintain performance over several proce...
Functional decomposition is a process of splitting a complex circuit into smaller sub-circuits. This paper deals with the problem of determining the set of best free and bound var...
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
A coloring of a graph is convex if it induces a partition of the vertices into connected subgraphs. Besides being an interesting property from a theoretical point of view, tests f...
In this paper we describe an area efficient power minimization scheme "Control Generated ClockingI` that saves significant amounts of power in datapath registers and clock dr...