This paper focuses on the problem of how to find and effectively exploit speculative thread-level parallelism. Our studies show that speculating only on loops does not yield suffi...
Jeffrey T. Oplinger, David L. Heine, Monica S. Lam
Background: Sequence-derived structural and physicochemical descriptors have frequently been used in machine learning prediction of protein functional families, thus there is a ne...
Serene A. K. Ong, Hong Huang Lin, Yu Zong Chen, Ze...
In 1998, Blaze, Bleumer, and Strauss proposed an application called atomic proxy re-encryption, in which a semi-trusted proxy converts a ciphertext for Alice into a ciphertext for...
Giuseppe Ateniese, Kevin Fu, Matthew Green, Susan ...
This paper describes a Conscious Tutoring System (CTS) capable of dynamic fine-tuned assistance to users. We put forth the combination of a Causal Learning and Emotional learning m...
Usef Faghihi, Philippe Fournier-Viger, Roger Nkamb...
Clusters of workstations are becoming popular platforms for parallel computing, but performance on these systems is more complex and harder to predict than on traditional parallel...
Geetanjali Sampemane, Scott Pakin, Andrew A. Chien