The need to perform early design studies that combine architectural simulation with power estimation has become critical as power has become a design constraint whose importance h...
Nam Sung Kim, Taeho Kgil, Valeria Bertacco, Todd M...
The spatial auto-regression (SAR) model is a popular spatial data analysis technique, which has been used in many applications with geo-spatial datasets. However, exact solutions f...
Baris M. Kazar, Shashi Shekhar, David J. Lilja, Ra...
Given the multicore microprocessor revolution, we argue that the architecture research community needs a dramatic increase in simulation capacity. We believe FPGA Architecture Mod...
Zhangxi Tan, Andrew Waterman, Henry Cook, Sarah Bi...
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fie...
V. Chandrasekaran, Jason K. Johnson, Alan S. Wills...
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...