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ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
14 years 1 months ago
Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience
Adaptive clustering uses external feedback to improve cluster quality; past experience serves to speed up execution time. An adaptive clustering environment is proposed that uses ...
Abraham Bagherjeiran, Christoph F. Eick, Chun-Shen...
IPPS
2006
IEEE
14 years 1 months ago
Easy and reliable cluster management: the self-management experience of Fire Phoenix
High-Performance clusters are rapidly becoming an important computing platform for both scientific and business applications. To fulfill the new demands and challenges, cluster sy...
Zhihong Zhang, Dan Meng, Jianfeng Zhan, Lei Wang, ...
CCGRID
2001
IEEE
13 years 11 months ago
Cluster Computing in the Classroom: Topics, Guidelines, and Experiences
- With the progress of research on cluster computing, more and more universities have begun to offer various courses covering cluster computing. A wide variety of content can be ta...
Amy W. Apon, Rajkumar Buyya, Hai Jin, Jens Mache
CCGRID
2008
IEEE
14 years 2 months ago
Experiences with Fine-Grained Distributed Supercomputing on a 10G Testbed
This paper shows how lightpath-based networks can allow challenging, fine-grained parallel supercomputing applications to be run on a grid, using parallel retrograde analysis on ...
Kees Verstoep, Jason Maassen, Henri E. Bal, John W...
IPPS
1998
IEEE
13 years 11 months ago
COMPaS: A Pentium Pro PC-based SMP Cluster and Its Experience
We have built an eight node SMP cluster called COMPaS (Cluster Of Multi-Processor Systems), each node of which is a quadprocessor Pentium Pro PC. We have designed and implemented a...
Yoshio Tanaka, Motohiko Matsuda, Makoto Ando, Kazu...