11/1/2016 12:00:58 PM
The New York Times - Researchers are turning to more efficient algorithms as chipmakers approach the physical limits of silicon. CS Professor Marc Snir and collaborators at Argonne National Lab look to trade precision for efficiency to realize energy savings in supercomputing, while Ali Farhadi (PhD CS ’11) leads work on efficient neural networks.