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» Proving Time Bounds for Randomized Distributed Algorithms
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TOCL
2008
113views more  TOCL 2008»
15 years 2 months ago
Abstract state machines capture parallel algorithms: Correction and extension
State Machines Capture Parallel Algorithms: Correction and Extension ANDREAS BLASS University of Michigan and YURI GUREVICH Microsoft Research We consider parallel algorithms worki...
Andreas Blass, Yuri Gurevich
98
Voted
WSC
2007
15 years 4 months ago
Analysis and generation of random vectors with copulas
Copulas are used in finance and insurance for modeling stochastic dependency. They comprehend the entire dependence structure, not only the correlations. Here they are estimated ...
Johann Christoph Strelen, Feras Nassaj
IEEEPACT
1998
IEEE
15 years 6 months ago
Adaptive Scheduling of Computations and Communications on Distributed Memory Systems
Compile-time scheduling is one approach to extract parallelism which has proved effective when the execution behavior is predictable. Unfortunately, the performance of most priori...
Mayez A. Al-Mouhamed, Homam Najjari
143
Voted
CORR
2010
Springer
182views Education» more  CORR 2010»
15 years 2 months ago
Fast Convergence of Natural Bargaining Dynamics in Exchange Networks
Bargaining networks model the behavior of a set of players who need to reach pairwise agreements for making profits. Nash bargaining solutions in this context correspond to soluti...
Yashodhan Kanoria, Mohsen Bayati, Christian Borgs,...
172
Voted
IPPS
2005
IEEE
15 years 8 months ago
Dynamic Task Scheduling using Genetic Algorithms for Heterogeneous Distributed Computing
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous processors in a distributed system. The scheduler operates in an environment with dyna...
Andrew J. Page, Thomas J. Naughton