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» Analysis of microbenchmarks for performance tuning of cluste...
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2010
Tsinghua U.
13 years 9 months 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...
NC
2007
129views Neural Networks» more  NC 2007»
13 years 6 months ago
Sorting of neural spikes: When wavelet based methods outperform principal component analysis
Sorting of the extracellularly recorded spikes is a basic prerequisite for analysis of the cooperative neural behavior and neural code. Fundamentally the sorting performance is deļ...
Alexey N. Pavlov, Valeri A. Makarov, Ioulia Makaro...
ISBRA
2007
Springer
14 years 1 months ago
Clustering Algorithms Optimizer: A Framework for Large Datasets
Clustering algorithms are employed in many bioinformatics tasks, including categorization of protein sequences and analysis of gene-expression data. Although these algorithms are r...
Roy Varshavsky, David Horn, Michal Linial
PVLDB
2010
167views more  PVLDB 2010»
13 years 5 months ago
Runtime Measurements in the Cloud: Observing, Analyzing, and Reducing Variance
One of the main reasons why cloud computing has gained so much popularity is due to its ease of use and its ability to scale computing resources on demand. As a result, users can ...
Jörg Schad, Jens Dittrich, Jorge-Arnulfo Quia...
CCGRID
2008
IEEE
14 years 1 months ago
Xen-Based HPC: A Parallel I/O Perspective
Virtualization using Xen-based virtual machine environment has yet to permeate the field of high performance computing (HPC). One major requirement for HPC is the availability of ...
Weikuan Yu, Jeffrey S. Vetter