Linear programming decoding for low-density parity check codes (and related domains such as compressed sensing) has received increased attention over recent years because of its p...
Sanjeev Arora, Constantinos Daskalakis, David Steu...
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
This paper proposes an efficient hardware/software system that significantly enhances software security through diversified replication on multi-cores. Recent studies show that a ...
Abstract Abstract. Recent work in the analysis of randomized approximation algorithms for NP-hard optimization problems has involved approximating the solution to a problem by the ...
Our program benchmarks and simulations of novel circuits indicate that large-window processors are feasible. Using our redesigned superscalar components, a large-window processor ...
Dana S. Henry, Bradley C. Kuszmaul, Gabriel H. Loh...