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» BlueGene L applications: Parallelism On a Massive Scale
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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 8 months ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...
WEA
2005
Springer
176views Algorithms» more  WEA 2005»
14 years 1 months ago
High-Performance Algorithm Engineering for Large-Scale Graph Problems and Computational Biology
Abstract. Many large-scale optimization problems rely on graph theoretic solutions; yet high-performance computing has traditionally focused on regular applications with high degre...
David A. Bader
MM
2010
ACM
203views Multimedia» more  MM 2010»
13 years 7 months ago
Processing web-scale multimedia data
The Internet brings us access to multimedia databases with billions of data instances. The massive amount of data available to researchers and application developers brings both o...
Malcolm Slaney, Edward Y. Chang
CLOUDCOM
2010
Springer
13 years 5 months ago
Efficient Metadata Generation to Enable Interactive Data Discovery over Large-Scale Scientific Data Collections
Discovering the correct dataset efficiently is critical for computations and effective simulations in scientific experiments. In contrast to searching web documents over the Intern...
Sangmi Lee Pallickara, Shrideep Pallickara, Milija...
PARELEC
2006
IEEE
14 years 1 months ago
Hierarchical Partitioning for Piecewise Linear Algorithms
processor arrays can be used as accelerators for a plenty of data flow-dominant applications. The explosive growth in research and development of massively parallel processor arr...
Hritam Dutta, Frank Hannig, Jürgen Teich