Abstract—We describe a novel application of using data mining and statistical learning methods to automatically monitor and detect abnormal execution traces from console logs in ...
Wei Xu, Ling Huang, Armando Fox, David Patterson, ...
As more complex DSP algorithms are realized in practice, an increasing need for high-level stream abstractions that can be compiled without sacrificing efficiency. Toward this en...
Andrew A. Lamb, William Thies, Saman P. Amarasingh...
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
TUBOUND is a conceptually new tool for the worst-case execution time (WCET) analysis of programs. A distinctive feature of TUBOUND is the seamless integration of a WCET analysis c...
This paper introduces a correlation histogram method for analyzing the different components of depth-enhanced 3D video representations. Depth-enhanced 3D representations such as m...