Performance and workload modeling has numerous uses at every stage of the high-end computing lifecycle: design, integration, procurement, installation and tuning. Despite the trem...
Recent advances on language based software toolkit generation enables performance driven exploration of embedded systems by exploiting the application behavior. There is a need fo...
Reconfigurable system is a promising alternative to deliver both flexibility and performance at the same time. New reconfigurable technologies and technologydependent tools have b...
Abstract. We propose a non-standard neural network called TPNN which offers the direct mapping from a peptide sequence to a property of interest in order to model the quantitative ...
Wireless sensor network (WSN) applications have been studied extensively in recent years. Such applications involve resource-limited embedded sensor nodes that have small size and...
Chung-Ching Shen, William Plishker, Shuvra S. Bhat...