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» Architectural Considerations with Distributed Computing
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IPPS
1998
IEEE
15 years 10 months ago
Using the BSP Cost Model to Optimise Parallel Neural Network Training
We derive cost formulae for three di erent parallelisation techniques for training supervised networks. These formulae are parameterised by properties of the target computer archit...
R. O. Rogers, David B. Skillicorn
IPPS
2003
IEEE
15 years 12 months ago
Parallel LAN/WAN Heuristics for Optimization
We present in this work a wide spectrum of results on analyzing the behavior of parallel heuristics for solving optimization problems. We focus on evolutionary algorithms as well ...
Enrique Alba, Gabriel Luque
ICDCS
1998
IEEE
15 years 11 months ago
Using Leases to Support Server-Driven Consistency in Large-Scale Systems
This paper introduces volume leases as a mechanism for providing cache consistency for large-scale, geographically distributed networks. Volume leases are a variation of leases, w...
Jian Yin, Lorenzo Alvisi, Michael Dahlin, Calvin L...
FOCS
2000
IEEE
15 years 11 months ago
Extracting Randomness from Samplable Distributions
Randomness extractors convert weak sources of randomness into an almost uniform distribution; the conversion uses a small amount of pure randomness. In algorithmic applications, t...
Luca Trevisan, Salil P. Vadhan
CCS
2008
ACM
15 years 8 months ago
FairplayMP: a system for secure multi-party computation
We present FairplayMP (for "Fairplay Multi-Party"), a system for secure multi-party computation. Secure computation is one of the great achievements of modern cryptograp...
Assaf Ben-David, Noam Nisan, Benny Pinkas