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2005
ACM
14 years 1 months ago
The MHETA Execution Model for Heterogeneous Clusters
The availability of inexpensive “off the shelf” machines increases the likelihood that parallel programs run on heterogeneous clusters of machines. These programs are increasi...
Mario Nakazawa, David K. Lowenthal, Wenduo Zhou
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 8 months ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
IEEEPACT
2006
IEEE
14 years 1 months ago
Architectural support for operating system-driven CMP cache management
The role of the operating system (OS) in managing shared resources such as CPU time, memory, peripherals, and even energy is well motivated and understood [23]. Unfortunately, one...
Nauman Rafique, Won-Taek Lim, Mithuna Thottethodi
ICA3PP
2010
Springer
14 years 13 days ago
InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services
Abstract. Cloud computing providers have setup several data centers at different geographical locations over the Internet in order to optimally serve needs of their customers aroun...
Rajkumar Buyya, Rajiv Ranjan, Rodrigo N. Calheiros
ICASSP
2011
IEEE
12 years 11 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...