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IPPS
2002
IEEE
16 years 4 days ago
Distribution Sweeping on Clustered Machines with Hierarchical Memories
This paper investigates the design of parallel algorithmic strategies that address the efficient use of both, memory hierarchies within each processor and a multilevel clustered ...
Frank K. H. A. Dehne, Stefano Mardegan, Andrea Pie...
CORR
2010
Springer
128views Education» more  CORR 2010»
15 years 7 months ago
Sublinear Optimization for Machine Learning
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...
Kenneth L. Clarkson, Elad Hazan, David P. Woodruff
NN
2006
Springer
15 years 7 months ago
Machine learning in sedimentation modelling
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...
Biswanath Bhattacharya, Dimitri P. Solomatine
SIGMETRICS
2009
ACM
165views Hardware» more  SIGMETRICS 2009»
16 years 1 months ago
Understanding intrinsic characteristics and system implications of flash memory based solid state drives
Flash Memory based Solid State Drive (SSD) has been called a “pivotal technology” that could revolutionize data storage systems. Since SSD shares a common interface with the t...
Feng Chen, David A. Koufaty, Xiaodong Zhang
P2P
2006
IEEE
153views Communications» more  P2P 2006»
16 years 1 months ago
Internet-Scale Storage Systems under Churn -- A Study of the Steady-State using Markov Models
Content storage in a distributed collaborative environment uses redundancy for better resilience and thus provides good availability and durability. In a peer-to-peer environment,...
Anwitaman Datta, Karl Aberer