The Data Diffusion Machine is a scalable virtual shared memory architecture. A hierarchical network is used to ensure that all data can be located in a time bounded by O(logp), wh...
Henk L. Muller, Paul W. A. Stallard, David H. D. W...
The transition to multithreaded, multi-core designs places a greater responsibility on programmers and software for improving performance; thread-level parallelism (TLP) will be i...
Tipp Moseley, Daniel A. Connors, Dirk Grunwald, Ra...
Abstract. We propose FIT, a flexible, light-weight and real-time scheduling system for wireless sensor platforms. There are three salient features of FIT. First, its two-tier hiera...
Wei Dong, Chun Chen, Xue Liu, Kougen Zheng, Rui Ch...
Many problems in mathematics and computer science can be reduced to proving the satisfiability of conjunctions of literals in a background theory which is often the extension of a ...
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
Tapani Raiko, Harri Valpola, Markus Harva, Juha Ka...