In this paper, we present parallel multilevel algorithms for the hypergraph partitioning problem. In particular, we describe schemes for parallel coarsening, parallel greedy k-way...
This paper considers recovery of jointly sparse multichannel signals from incomplete measurements. Several approaches have been developed to recover the unknown sparse vectors from...
In light of the history of LDPC codes and relevant research advances in recent years, this paper probes into the encoding and decoding techniques related to this capacity-approach...
In the theory of compressed sensing, restricted isometry analysis has become a standard tool for studying how efficiently a measurement matrix acquires information about sparse an...
Parallel algorithm designers need computational models that take first order system costs into account, but are also simple enough to use in practice. This paper introduces the L...