Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Abstract: If the computational demands of an interactive graphics rendering application cannot be met by a single commodity Graphics Processing Unit (GPU), multiple graphics accele...
Ross Brennan, Michael Manzke, Keith O'Conor, John ...
In this work we ask the fundamental question: How many bits of information can be stored in a crossbar switching network? The answer is trivial when the switches of the network ar...
This work is based on our philosophy of providing interlayer system-level power awareness in computing systems [26, 27]. Here, we couple this approach with our vision of multipart...
Osman S. Unsal, Israel Koren, C. Mani Krishna, Csa...
Abstract. This paper presents DAOS, a model for exploitation of Andand Or-parallelism in logic programs. DAOS assumes a physically distributed memory environment and a logically sh...