Novel reconfigurable computing platforms enable efficient realizations of complex signal processing applications by allowing exploitation of parallelization resulting in high thro...
Sankalita Saha, Jason Schlessman, Sebastian Puthen...
In this paper, we deal with the problem of scheduling streaming applications on unreliable heterogeneous platforms. We use the realistic one-port model with full computation/commu...
We focus on data gathering problems in energy-constrained wireless sensor networks. We study store-and-gather problems where data are locally stored on the sensors before the data ...
This paper focuses on non-strict processing, optimization, and partial evaluation of MPI programs which use incremental data structures (ISs). We describe the design and implement...
Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...