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...
Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
Model-based development is becoming an increasingly common development methodology. In important domains like embedded systems already major parts of the code are generated from m...
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...