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ISPAN
2005
IEEE
13 years 10 months ago
A Scalable Method for Predicting Network Performance in Heterogeneous Clusters
An important requirement for the effective scheduling of parallel applications on large heterogeneous clusters is a current view of system resource availability. Maintaining such ...
Dimitrios Katramatos, Steve J. Chapin
TKDE
2012
190views Formal Methods» more  TKDE 2012»
11 years 7 months ago
Scalable Learning of Collective Behavior
—This study of collective behavior is to understand how individuals behave in a social networking environment. Oceans of data generated by social media like Facebook, Twitter, Fl...
Lei Tang, Xufei Wang, Huan Liu
SPAA
2012
ACM
11 years 7 months ago
A scalable framework for heterogeneous GPU-based clusters
GPU-based heterogeneous clusters continue to draw attention from vendors and HPC users due to their high energy efficiency and much improved single-node computational performance...
Fengguang Song, Jack Dongarra
CIKM
2009
Springer
13 years 11 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu
IPPS
2002
IEEE
13 years 9 months ago
Characterizing NAS Benchmark Performance on Shared Heterogeneous Networks
The goal of this research is to develop performance profiles of parallel and distributed applications in order to predict their execution time under different network conditions....
Jaspal Subhlok, Shreenivasa Venkataramaiah, Amitoj...