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INFORMATICALT
2008
124views more  INFORMATICALT 2008»
13 years 8 months ago
Hierarchical Adaptive Clustering
This paper studies an adaptive clustering problem. We focus on re-clustering an object set, previously clustered, when the feature set characterizing the objects increases. We prop...
Gabriela Serban, Alina Campan
ASPLOS
1996
ACM
14 years 29 days ago
Shasta: A Low Overhead, Software-Only Approach for Supporting Fine-Grain Shared Memory
This paper describes Shasta, a system that supports a shared address space in software on clusters of computers with physically distributed memory. A unique aspect of Shasta compa...
Daniel J. Scales, Kourosh Gharachorloo, Chandramoh...
IPPS
2010
IEEE
13 years 6 months ago
Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs
The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important too...
Lifan Xu, Michela Taufer, Stuart Collins, Dionisio...
PODS
2008
ACM
128views Database» more  PODS 2008»
14 years 9 months ago
Shape sensitive geometric monitoring
A fundamental problem in distributed computation is the distributed evaluation of functions. The goal is to determine the value of a function over a set of distributed inputs, in ...
Izchak Sharfman, Assaf Schuster, Daniel Keren
CIKM
2006
Springer
14 years 16 days ago
KDDCS: a load-balanced in-network data-centric storage scheme for sensor networks
We propose an In-Network Data-Centric Storage (INDCS) scheme for answering ad-hoc queries in sensor networks. Previously proposed In-Network Storage (INS) schemes suffered from St...
Mohamed Aly, Kirk Pruhs, Panos K. Chrysanthis