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» Priority Algorithms for Graph Optimization Problems
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IPPS
1999
IEEE
15 years 2 months ago
Reducing I/O Complexity by Simulating Coarse Grained Parallel Algorithms
Block-wise access to data is a central theme in the design of efficient external memory (EM) algorithms. A second important issue, when more than one disk is present, is fully par...
Frank K. H. A. Dehne, David A. Hutchinson, Anil Ma...
ATAL
2006
Springer
15 years 1 months ago
Multiply-constrained distributed constraint optimization
Distributed constraint optimization (DCOP) has emerged as a useful technique for multiagent coordination. While previous DCOP work focuses on optimizing a single team objective, i...
Emma Bowring, Milind Tambe, Makoto Yokoo
91
Voted
ICALP
1992
Springer
15 years 1 months ago
Near-perfect Token Distribution
Suppose that n tokens are arbitrarily placed on the n nodes of a graph. At each parallel step one token may be moved from each node to an adjacent node. An algorithm for the near-...
Andrei Z. Broder, Alan M. Frieze, Eli Shamir, Eli ...
TSP
2010
14 years 4 months ago
Optimization and analysis of distributed averaging with short node memory
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...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
SBACPAD
2003
IEEE
125views Hardware» more  SBACPAD 2003»
15 years 3 months ago
Applying Scheduling by Edge Reversal to Constraint Partitioning
— Scheduling by Edge Reversal (SER) is a fully distributed scheduling mechanism based on the manipulation of acyclic orientations of a graph. This work uses SER to perform constr...
Marluce Rodrigues Pereira, Patrícia Kayser ...