This paper examines the problem of statically analyzing the performance of embedded software. This problem is motivated by the increasing growth of embedded systems and a lack of ...
Sharad Malik, Margaret Martonosi, Yau-Tsun Steven ...
Abstract. Over the past years, a number of increasingly expressive languages for modelling constraint and optimisation problems have evolved. In developing a strategy to ease the c...
Large repositories of source code create new challenges and opportunities for statistical machine learning. Here we first develop Sourcerer, an infrastructure for the automated c...
Erik Linstead, Paul Rigor, Sushil Krishna Bajracha...
Abstract. Imaging applications such as filtering, image transforms and compression/decompression require vast amounts of computing power when applied to large data sets. These appl...
Benoit A. Gennart, Marc Mazzariol, Vincent Messerl...
Background: High-throughput methods for detecting protein-protein interactions enable us to obtain large interaction networks, and also allow us to computationally identify the as...