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» Compositional Memory Systems for Data Intensive Applications
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84
Voted
KDD
2005
ACM
170views Data Mining» more  KDD 2005»
15 years 10 months ago
Parallel mining of closed sequential patterns
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
Shengnan Cong, Jiawei Han, David A. Padua
92
Voted
HPDC
2003
IEEE
15 years 3 months ago
Optimizing GridFTP through Dynamic Right-Sizing
In this paper, we describe the integration of dynamic right-sizing — an automatic and scalable buffer management technique for enhancing TCP performance — into GridFTP, a sub...
Sunil Thulasidasan, Wu-chun Feng, Mark K. Gardner
89
Voted
FOCS
2004
IEEE
15 years 2 months ago
On the Streaming Model Augmented with a Sorting Primitive
The need to deal with massive data sets in many practical applications has led to a growing interest in computational models appropriate for large inputs. The most important quali...
Gagan Aggarwal, Mayur Datar, Sridhar Rajagopalan, ...
104
Voted
LCTRTS
2005
Springer
15 years 3 months ago
Cache aware optimization of stream programs
Effective use of the memory hierarchy is critical for achieving high performance on embedded systems. We focus on the class of streaming applications, which is increasingly preval...
Janis Sermulins, William Thies, Rodric M. Rabbah, ...
TPDS
2010
174views more  TPDS 2010»
14 years 8 months ago
Parallel Two-Sided Matrix Reduction to Band Bidiagonal Form on Multicore Architectures
The objective of this paper is to extend, in the context of multicore architectures, the concepts of tile algorithms [Buttari et al., 2007] for Cholesky, LU, QR factorizations to t...
Hatem Ltaief, Jakub Kurzak, Jack Dongarra