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» Run-Time Techniques for Parallelizing Sparse Matrix Problems
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CORR
2011
Springer
168views Education» more  CORR 2011»
13 years 2 months ago
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...
Abhimanyu Das, David Kempe
EUROPAR
2004
Springer
14 years 27 days ago
Load and Memory Balanced Mesh Partitioning for a Parallel Envelope Method
Abstract. We use a parallel direct solver based on the Schur complement method for solving large sparse linear systems arising from the finite element method. A domain decompositi...
Ondrej Medek, Pavel Tvrdík, Jaroslav Kruis
IPPS
2003
IEEE
14 years 23 days ago
MIP Formulation for Robust Resource Allocation in Dynamic Real-Time Systems
Real-time systems usually operate in an environment that changes continuously. These changes cause the performance of the system to vary during run time. An allocation of resource...
Sethavidh Gertphol, Viktor K. Prasanna
PODC
2011
ACM
12 years 10 months ago
MIS on trees
A maximal independent set on a graph is an inclusion-maximal set of mutually non-adjacent nodes. This basic symmetry breaking structure is vital for many distributed algorithms, w...
Christoph Lenzen, Roger Wattenhofer
EUROPAR
2009
Springer
14 years 2 months ago
Adaptive Parallel Householder Bidiagonalization
With the increasing use of large image and video archives and high-resolution multimedia data streams in many of today’s research and application areas, there is a growing need f...
Fangbin Liu, Frank J. Seinstra