Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
Instruction fetch behavior has been shown to be very regular and predictable, even for diverse application areas. In this work, we propose the Lookahead Instruction Fetch Engine (...
Stephen Roderick Hines, Yuval Peress, Peter Gavin,...
Abstract—In transportation network research, the main approach for predicting traffic distribution due to noncooperative vehicle choices has been through fluid type models. The...
While Moore’s Law predicts the ability of semi-conductor industry to engineer smaller and more efficient transistors and circuits, there are serious issues not contemplated in t...
Javier Carretero, Pedro Chaparro, Xavier Vera, Jau...
A key challenge in architecting a CMP with many cores is maintaining cache coherence in an efficient manner. Directory-based protocols avoid the bandwidth overhead of snoop-based ...
Jason Zebchuk, Vijayalakshmi Srinivasan, Moinuddin...