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» Accelerating Large Data Analysis by Exploiting Regularities
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2010
Tsinghua U.
15 years 2 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...
AIM
2006
15 years 1 months ago
Observing the use of BPM tools: A step towards flexibility
: The development of the tools of Business Process Management (BPM) arises from the spread of the notion of process in the management universe. The application of BPM to strategic ...
Joseph Heili, Jean-Mathias Heraud, Laure France
BMCBI
2004
158views more  BMCBI 2004»
14 years 11 months ago
A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Si...
MP
2010
162views more  MP 2010»
14 years 10 months ago
Approximation accuracy, gradient methods, and error bound for structured convex optimization
Convex optimization problems arising in applications, possibly as approximations of intractable problems, are often structured and large scale. When the data are noisy, it is of i...
Paul Tseng
PVLDB
2008
126views more  PVLDB 2008»
14 years 11 months ago
Parallelizing query optimization
Many commercial RDBMSs employ cost-based query optimization exploiting dynamic programming (DP) to efficiently generate the optimal query execution plan. However, optimization tim...
Wook-Shin Han, Wooseong Kwak, Jinsoo Lee, Guy M. L...