Spiking Neural Networks (SNNs) model the biological functions of the human brain enabling neuro/computer scientists to investigate how arrays of neurons can be used to solve comput...
Brendan P. Glackin, Jim Harkin, T. Martin McGinnit...
Coarse-grained reconfigurable architectures (CGRAs) present an appealing hardware platform by providing programmability with the potential for high computation throughput, scalab...
There is building interest in using FPGAs as accelerators for high-performance computing, but existing systems for programming them are so far inadequate. In this paper we propose...
—This paper proposes a parallelization scheme for parameter sweep (PS) applications using the compute unified device architecture (CUDA). Our scheme focuses on PS applications w...
RNA structure prediction, or folding, is a computeintensive task that lies at the core of several search applications in bioinformatics. We begin to address the need for high-thro...
Arpith C. Jacob, Jeremy Buhler, Roger D. Chamberla...