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ICPPW
2002
IEEE
13 years 10 months ago
SNOW: Software Systems for Process Migration in High-Performance, Heterogeneous Distributed Environments
This paper reports our experiences on the Scalable Network Of Workstation (SNOW) project, which implements a novel methodology to support user-level process migration for traditio...
Kasidit Chanchio, Xian-He Sun
UAI
2003
13 years 6 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
AP2PC
2003
Springer
13 years 10 months ago
G-Grid: A Class of Scalable and Self-Organizing Data Structures for Multi-dimensional Querying and Content Routing in P2P Networ
Peer-to-Peer (P2P) technologies promise to provide efficient distribution, sharing and management of resources, such as storage, processing, routing and other sundry service capabi...
Aris M. Ouksel, Gianluca Moro
IPPS
1996
IEEE
13 years 9 months ago
ECO: Efficient Collective Operations for Communication on Heterogeneous Networks
PVM and other distributed computing systems have enabled the use of networks of workstations for parallel computation, but their approach of treating all networks as collections o...
Bruce Lowekamp, Adam Beguelin
JMLR
2006
103views more  JMLR 2006»
13 years 5 months ago
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
Dana Pe'er, Amos Tanay, Aviv Regev