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CIKM
2008
Springer
14 years 11 months ago
Data weaving: scaling up the state-of-the-art in data clustering
Ron Bekkerman, Martin Scholz
KDD
2012
ACM
271views Data Mining» more  KDD 2012»
13 years 1 days ago
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...
JCC
2007
121views more  JCC 2007»
14 years 9 months ago
Speeding up parallel GROMACS on high-latency networks
: We investigate the parallel scaling of the GROMACS molecular dynamics code on Ethernet Beowulf clusters and what prerequisites are necessary for decent scaling even on such clust...
Carsten Kutzner, David van der Spoel, Martin Fechn...
ICS
2010
Tsinghua U.
15 years 1 days ago
Clustering performance data efficiently at massive scales
Existing supercomputers have hundreds of thousands of processor cores, and future systems may have hundreds of millions. Developers need detailed performance measurements to tune ...
Todd Gamblin, Bronis R. de Supinski, Martin Schulz...
ICDCS
2011
IEEE
13 years 9 months ago
Provisioning a Multi-tiered Data Staging Area for Extreme-Scale Machines
—Massively parallel scientific applications, running on extreme-scale supercomputers, produce hundreds of terabytes of data per run, driving the need for storage solutions to im...
Ramya Prabhakar, Sudharshan S. Vazhkudai, Youngjae...