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SPDP
1996
IEEE
15 years 5 months ago
Impact Of Load Balancing On Unstructured Adaptive Grid Computations For Distributed-Memory Multiprocessors
The computational requirements for an adaptive solution of unsteady problems change as the simulation progresses. This causes workload imbalance among processors on a parallel mac...
Andrew Sohn, Rupak Biswas, Horst D. Simon
CJ
2002
122views more  CJ 2002»
15 years 23 days ago
Java for On-line Distributed Monitoring of Heterogeneous Systems and Services
monitoring indicators at different levels of abstraction. At the application level, it instruments the Java Virtual Machine (JVM) to notify several different types of events trigge...
Paolo Bellavista, Antonio Corradi, Cesare Stefanel...
145
Voted
SIGMOD
2012
ACM
345views Database» more  SIGMOD 2012»
13 years 3 months ago
Shark: fast data analysis using coarse-grained distributed memory
Shark is a research data analysis system built on a novel rained distributed shared-memory abstraction. Shark marries query processing with deep data analysis, providing a unifie...
Cliff Engle, Antonio Lupher, Reynold Xin, Matei Za...
ICML
2009
IEEE
16 years 1 months ago
Structure learning with independent non-identically distributed data
There are well known algorithms for learning the structure of directed and undirected graphical models from data, but nearly all assume that the data consists of a single i.i.d. s...
Robert E. Tillman
ICML
2004
IEEE
16 years 1 months ago
Learning random walk models for inducing word dependency distributions
Many NLP tasks rely on accurately estimating word dependency probabilities P(w1|w2), where the words w1 and w2 have a particular relationship (such as verb-object). Because of the...
Kristina Toutanova, Christopher D. Manning, Andrew...