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» Modeling and Analyzing Periodic Distributed Computations
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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 3 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
121
Voted
BMCBI
2010
124views more  BMCBI 2010»
15 years 2 months ago
Estimating time since infection in early homogeneous HIV-1 samples using a poisson model
Background: The occurrence of a genetic bottleneck in HIV sexual or mother-to-infant transmission has been well documented. This results in a majority of new infections being homo...
Elena E. Giorgi, Bob Funkhouser, Gayathri Athreya,...
165
Voted
PPOPP
2011
ACM
14 years 5 months ago
ScalaExtrap: trace-based communication extrapolation for spmd programs
Performance modeling for scientific applications is important for assessing potential application performance and systems procurement in high-performance computing (HPC). Recent ...
Xing Wu, Frank Mueller
104
Voted
ICS
2005
Tsinghua U.
15 years 8 months ago
System noise, OS clock ticks, and fine-grained parallel applications
As parallel jobs get bigger in size and finer in granularity, “system noise” is increasingly becoming a problem. In fact, fine-grained jobs on clusters with thousands of SMP...
Dan Tsafrir, Yoav Etsion, Dror G. Feitelson, Scott...
131
Voted
MIDDLEWARE
2005
Springer
15 years 8 months ago
Sensor bean: a component platform for sensor-based services
Sensor-based services propose to gather, manage, analyze, access and react to sensor data. These services are distributed over heterogeneous platforms. The complexity of the imple...
Cristina Marin, Mikael Desertot