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SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
12 years 11 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
HPDC
2007
IEEE
15 years 3 months ago
Using content-addressable networks for load balancing in desktop grids
Desktop grids combine Peer-to-Peer and Grid computing techniques to improve the robustness, reliability and scalability of job execution infrastructures. However, efficiently mat...
Jik-Soo Kim, Peter J. Keleher, Michael A. Marsh, B...
WETICE
2009
IEEE
15 years 4 months ago
Cloud Computing and the Lessons from the Past
— The skyrocketing demand for a new generation of cloud-based consumer and business applications is driving the need for next generation of datacenters that must be massively sca...
Rao Mikkilineni, Vijay Sarathy
PPOPP
2006
ACM
15 years 3 months ago
On-line automated performance diagnosis on thousands of processes
Performance analysis tools are critical for the effective use of large parallel computing resources, but existing tools have failed to address three problems that limit their scal...
Philip C. Roth, Barton P. Miller
77
Voted
ICDCS
2002
IEEE
15 years 2 months ago
On the Performance of Group Key Agreement Protocols
Group key agreement is a fundamental building block for secure peer group communication systems. Several group key agreement protocols were proposed in the last decade, all of the...
Yair Amir, Yongdae Kim, Cristina Nita-Rotaru, Gene...