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» Improvements to the scalability of multiobjective clustering
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112
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SC
2009
ACM
15 years 6 months ago
Scalable computing with parallel tasks
Recent and future parallel clusters and supercomputers use SMPs and multi-core processors as basic nodes, providing a huge amount of parallel resources. These systems often have h...
Jörg Dümmler, Thomas Rauber, Gudula R&uu...
98
Voted

Publication
248views
14 years 8 months ago
Equalizer: A Scalable Parallel Rendering Framework
Continuing improvements in CPU and GPU performances as well as increasing multi-core processor and cluster-based parallelism demand for flexible and scalable parallel rendering sol...
Stefan Eilemann, Maxim Makhinya, Renato Pajarola
SDM
2004
SIAM
225views Data Mining» more  SDM 2004»
15 years 1 months ago
Active Semi-Supervision for Pairwise Constrained Clustering
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
Sugato Basu, Arindam Banerjee, Raymond J. Mooney
103
Voted
CLUSTER
2004
IEEE
15 years 3 months ago
Hierarchical Bloom filter arrays (HBA): a novel, scalable metadata management system for large cluster-based storage
An efficient and distributed scheme for file mapping or file lookup scheme is critical in decentralizing metadata management within a group of metadata servers. This paper present...
Yifeng Zhu, Hong Jiang, Jun Wang
CLUSTER
2003
IEEE
15 years 4 months ago
Application-Bypass Reduction for Large-Scale Clusters
Process skew is an important factor in the performance of parallel applications, especially in large-scale clusters. Reduction is a common collective operation which, by its natur...
Adam Wagner, Darius Buntinas, Dhabaleswar K. Panda...