We introduce a new collaborative machine learning paradigm in which the user directs a learning algorithm by manually editing the automatically induced model. We identify a generi...
Vittorio Castelli, Lawrence D. Bergman, Daniel Obl...
This paper considers the role of performance and area estimates from behavioral synthesis in design space exploration. We have developed a compilation system that automatically ma...
Writing scripts (often called “macros”) can be helpful for automating repetitive tasks. Scripting facilities for text editors like Emacs and Microsoft Word have been widely us...
Application specific processors offer the potential of rapidly designed logic specifically constructed to meet the performance and area demands of the task at hand. Recently, t...
In this paper, we presen t the design and use of a comprehensiv e framework, SimplePower, for evaluating the e ect of high-level algorithmic, architectural, and compilation tradeo...
Wu Ye, Narayanan Vijaykrishnan, Mahmut T. Kandemir...