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» Application Performance of a Linux Cluster Using Converse
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ICDCS
2007
IEEE
15 years 4 months ago
STEP: Sequentiality and Thrashing Detection Based Prefetching to Improve Performance of Networked Storage Servers
State-of-the-art networked storage servers are equipped with increasingly powerful computing capability and large DRAM memory as storage caches. However, their contribution to the...
Shuang Liang, Song Jiang, Xiaodong Zhang
HPDC
2007
IEEE
15 years 4 months ago
A statistical approach to risk mitigation in computational markets
We study stochastic models to mitigate the risk of poor Quality-of-Service (QoS) in computational markets. Consumers who purchase services expect both price and performance guaran...
Thomas Sandholm, Kevin Lai
ICASSP
2010
IEEE
14 years 10 months ago
Evolutionary spectral clustering with adaptive forgetting factor
Many practical applications of clustering involve data collected over time. In these applications, evolutionary clustering can be applied to the data to track changes in clusters ...
Kevin S. Xu, Mark Kliger, Alfred O. Hero III
PPOPP
2005
ACM
15 years 3 months ago
Using multiple energy gears in MPI programs on a power-scalable cluster
Recently, system architects have built low-power, high-performance clusters, such as Green Destiny. The idea behind these clusters is to improve the energy efficiency of nodes. H...
Vincent W. Freeh, David K. Lowenthal
PC
2010
145views Management» more  PC 2010»
14 years 8 months ago
GPU computing with Kaczmarz's and other iterative algorithms for linear systems
The graphics processing unit (GPU) is used to solve large linear systems derived from partial differential equations. The differential equations studied are strongly convection-...
Joseph M. Elble, Nikolaos V. Sahinidis, Panagiotis...