An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
Paris A. Mastorocostas, Dimitris N. Varsamis, Cons...
Concurrent programs are notorious for containing errors that are difficult to reproduce and diagnose. Two common kinds of concurrency errors are data races and atomicity violation...
Rahul Agarwal, Amit Sasturkar, Liqiang Wang, Scott...
Branch prediction is the predominant approach for minimizing the pipeline breaks caused by branch instructions. Traditionally, branch prediction is accomplished in one of two ways...
We are concerned with programs composed of cooperative threads whose execution proceeds in synchronous rounds called instants. We develop static analysis methods to guarantee that...
This paper reports on the development of specific slicing techniques for functional programs and their use for the identification of possible coherent components from monolithic c...