Particle filtering is an approach to Bayesian estimation of intractable posterior distributions from time series signals distributed by non-Gaussian noise. A couple of variant par...
Many large-scale production applications often have very long executions times and require periodic data checkpoints in order to save the state of the computation for program rest...
Wei-keng Liao, Avery Ching, Kenin Coloma, Alok N. ...
Abstract--In this article we present KRASH, a tool for reproducible generation of system-level CPU load. This tool is intended for use in shared memory machines equipped with multi...
The real-time image forming in future, high-end synthetic aperture radar systems is an example of an application that puts new demands on computer architectures. The initial quest...
Anders Ahlander, H. Hellsten, K. Lind, J. Lindgren...
A Distributed Information Brokering System (DIBS) is a peer-to-peer overlay network that comprises diverse data servers and brokering components helping client queries locate the ...
Fengjun Li, Bo Luo, Peng Liu, Dongwon Lee, Chao-Hs...