A method for approximate subsequence matching is introduced, that significantly improves the efficiency of subsequence matching in large time series data sets under the dynamic ti...
Discovering local geometry of low-dimensional manifold embedded into a high-dimensional space has been widely studied in the literature of machine learning. Counter-intuitively, w...
Performance and power consumption of an on-chip interconnect that forms the backbone of Chip Multiprocessors (CMPs), are directly influenced by the underlying network topology. Bo...
Reetuparna Das, Soumya Eachempati, Asit K. Mishra,...
In this paper we propose event-driven power management techniques for wireless sensor networks. To accomplish this we model a sensor network application as a set of application-spe...
Sang Hoon Lee, Byong-Ha Cho, Lynn Choi, Sun-Joong ...
SIMD (Single Instruction, Multiple Data) engines are an essential part of the processors in various computing markets, from servers to the embedded domain. Although SIMD-enabled a...
Amir Hormati, Yoonseo Choi, Mark Woh, Manjunath Ku...