Hierarchical clustering methods are important in many data mining and pattern recognition tasks. In this paper we present an efficient coarse grained parallel algorithm for Single...
The emergence of grid and a new class of data-driven applications is making a new form of parallelism desirable, which we refer to as coarse-grained pipelined parallelism. This pa...
We consider the filter decomposition problem in supporting coarse-grained pipelined parallelism. This form of parallelism is suitable for data-driven applications in scenarios wh...
This work addresses the problem of information leakage of cryptographic devices, by using the reconfiguration technique allied to an RNS based arithmetic. The information leaked b...
DSP applications can be suitably represented using Process Network Models. This paper uses a modification of Kahn Process Network to solve the problem of finding an optimum arch...