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PVLDB
2010
167views more  PVLDB 2010»
15 years 4 months ago
Runtime Measurements in the Cloud: Observing, Analyzing, and Reducing Variance
One of the main reasons why cloud computing has gained so much popularity is due to its ease of use and its ability to scale computing resources on demand. As a result, users can ...
Jörg Schad, Jens Dittrich, Jorge-Arnulfo Quia...
IPPS
2010
IEEE
15 years 4 months ago
Scalable failure recovery for high-performance data aggregation
Many high-performance tools, applications and infrastructures, such as Paradyn, STAT, TAU, Ganglia, SuperMon, Astrolabe, Borealis, and MRNet, use data aggregation to synthesize lar...
Dorian C. Arnold, Barton P. Miller
MTA
2011
220views Hardware» more  MTA 2011»
15 years 1 months ago
Modeling, simulation, and practice of floor control for synchronous and ubiquitous collaboration
: With the advances in a variety of software/hardware technologies and wireless networking, there is coming a need for ubiquitous collaboration which allows people to access inform...
Kangseok Kim, Geoffrey C. Fox
SC
2004
ACM
15 years 12 months ago
A Performance and Scalability Analysis of the BlueGene/L Architecture
This paper is structured as follows. Section 2 gives an architectural description of BlueGene/L. Section 3 analyzes the issue of “computational noise” – the effect that the o...
Kei Davis, Adolfy Hoisie, Greg Johnson, Darren J. ...
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 7 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
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