Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
As the disks typically found in personal computers grow larger, protecting data by replicating it on a collection of “peer” systems rather than on dedicated high performance s...
Dmitry Brodsky, Michael J. Feeley, Norman C. Hutch...
ent> <title> <p>Highlights from the Third International Society for Computational Biology (ISCB) Student Council Symposium at the Fifteenth Annual International Conf...
1 In this paper, we propose a hybrid approach for estimating the switching activities of the internal nodes in logic circuits. The new approach combines the advantages of the simul...
David Ihsin Cheng, Kwang-Ting Cheng, Deborah C. Wa...
Recently, energy has become an important issue in highperformance computing. For example, supercomputers that have energy in mind, such as BlueGene/L, have been built; the idea is...
Vincent W. Freeh, Feng Pan, Nandini Kappiah, David...