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106
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ICASSP
2009
IEEE
15 years 10 months ago
Bandwidth adaptive hardware architecture of K-Means clustering for intelligent video processing
K-Means is a clustering algorithm that is widely applied in many elds, including pattern classi cation and multimedia analysis. Due to real-time requirements and computational-cos...
Tse-Wei Chen, Shao-Yi Chien
106
Voted
CCGRID
2007
IEEE
15 years 10 months ago
Optimizing jobs timeouts on clusters and production grids
This paper presents a method to optimize the timeout value of computing jobs. It relies on a model of the job execution time that considers the job management system latency throu...
Tristan Glatard, Xavier Pennec
162
Voted
CVPR
2003
IEEE
15 years 9 months ago
Graph-Theoretic Approach to Clustering and Segmentation
We develop a framework for the image segmentation problem based on a new graph-theoretic formulation of clustering. The approach is motivated by the analogies between the intuitiv...
Massimiliano Pavan, Marcello Pelillo
116
Voted
EUROPAR
2003
Springer
15 years 8 months ago
Dynamic Load Balancing for I/O- and Memory-Intensive Workload in clusters Using a Feedback Control Mechanism
1 One common assumption of the existing models of load balancing is that the weights of resources and I/O buffer size are statically configured. Though the static configuration ...
Xiao Qin, Hong Jiang, Yifeng Zhu, David R. Swanson
142
Voted
LCR
2000
Springer
172views System Software» more  LCR 2000»
15 years 7 months ago
Achieving Robust, Scalable Cluster I/O in Java
We present Tigris, a high-performance computation and I/O substrate for clusters of workstations that is implemented entirely in Java. Tigris automatically balances resource load a...
Matt Welsh, David E. Culler