We present two parallel algorithms and their Unified Parallel C implementations for Bayesian indoor positioning systems. Our approaches are founded on Markov Chain Monte Carlo si...
Abstract. Many large-scale optimization problems rely on graph theoretic solutions; yet high-performance computing has traditionally focused on regular applications with high degre...
As devices are scaled to the nanoscale regime, it is clear that future nanodevices will be plagued by higher soft error rates and reduced noise margins. Traditional implementation...
Kundan Nepal, R. Iris Bahar, Joseph L. Mundy, Will...
Although CMOS feature size scaling has been the source of dramatic performance gains, it has lead to mounting reliability concerns due to increasing power densities and on-chip te...
Shantanu Gupta, Shuguang Feng, Amin Ansari, Jason ...
Power density in high-performance processors continues to increase with technology generations as scaling of current, clock speed, and device density outpaces the downscaling of s...
Mohamed A. Gomaa, Michael D. Powell, T. N. Vijayku...