This paper presents a compiler methodology for memoryaware mapping on 2-Dimensional coarse-grained reconfigurable architectures that aims in improving the mapped applications’ p...
Grigoris Dimitroulakos, Michalis D. Galanis, Costa...
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
We have previously proposed PTIDES (Programming Temporally Integrated Distributed Embedded Systems), a discrete-event framework that binds realtime with model time at sensors, act...
—This paper describes algorithms for implementing a high-level programming model for synchronous distributed groupware applications. In this model, several application data objec...
Robert E. Strom, Guruduth Banavar, Kevan Miller, A...
As the number of cores per machine increases, memory architectures are being redesigned to avoid bus contention and sustain higher throughput needs. The emergence of Non-Uniform M...