Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Data-Pipelining is a widely used model to represent streaming applications. Incremental decomposition and optimization of a data-pipelining application onto a multi-processor plat...
Bo-Cheng Charles Lai, Patrick Schaumont, Wei Qin, ...
— In this article we tackle the problem of scheduling a dynamically generated DAG of multi-processor tasks (M-tasks). At first, we outline the need of such a scheduling approach...
Software implementations of channel decoding algorithms are attractive for communication systems with their large variety of existing and emerging standards due to their flexibil...
Heterogeneous multiprocessors are emerging as the dominant implementation approach to embedded multiprocessor systems. In addition to having processing elements suited to the targ...