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» Mass problems and randomness
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ASPDAC
2009
ACM
115views Hardware» more  ASPDAC 2009»
16 years 1 months ago
Incremental and on-demand random walk for iterative power distribution network analysis
— Power distribution networks (PDNs) are designed and analyzed iteratively. Random walk is among the most efficient methods for PDN analysis. We develop in this paper an increme...
Yiyu Shi, Wei Yao, Jinjun Xiong, Lei He
ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
15 years 4 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala
SPAA
2009
ACM
16 years 3 months ago
A randomized, o(log w)-depth 2 smoothing network
A K-smoothing network is a distributed, low-contention data structure where tokens arrive arbitrarily on w input wires and reach w output wires via their completely asynchronous p...
Marios Mavronicolas, Thomas Sauerwald
IPPS
2007
IEEE
16 years 28 days ago
Achieving Reliable Parallel Performance in a VoD Storage Server Using Randomization and Replication
This paper investigates randomization and replication as strategies to achieve reliable performance in disk arrays targeted for video-on-demand (VoD) workloads. A disk array can p...
Yung Ryn Choe, Vijay S. Pai
SIAMREV
2010
132views more  SIAMREV 2010»
15 years 1 months ago
A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data
In this paper we propose and analyze a Stochastic-Collocation method to solve elliptic Partial Differential Equations with random coefficients and forcing terms (input data of the...
Ivo Babuska, Fabio Nobile, Raúl Tempone