Concerned by the wall that Moore’s Law is expected to hit in the next decade, the integrated circuit community is turning to emerging nanotechnologies for continued device impro...
This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
Advancements in technology enable integration of a large number of cores on a single silicon die. At the same time, aggressive technology scaling has an ever-increasing adverse im...
In this paper, we present the way of fast and accurate estimation of software energy consumption in off-the-shelf processor using IPI(Inter-Prefetch Interval) energy model. In ou...
Jungsoo Kim, Kyungsu Kang, Heejun Shim, Woong Hwan...