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KDD
2005
ACM
170views Data Mining» more  KDD 2005»
14 years 9 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
ACSC
2004
IEEE
14 years 13 days ago
Exploiting FPGA Concurrency to Enhance JVM Performance
The Java Programming Language has been praised for its platform independence and portability, but because of its slow execution speed on a software Java Virtual Machine (JVM), som...
James Parnis, Gareth Lee
EMSOFT
2006
Springer
14 years 10 days ago
A hierarchical coordination language for interacting real-time tasks
We designed and implemented a new programming language called Hierarchical Timing Language (HTL) for hard realtime systems. Critical timing constraints are specified within the la...
Arkadeb Ghosal, Alberto L. Sangiovanni-Vincentelli...
ICCCN
2007
IEEE
14 years 3 months ago
An Energy-Efficient Scheduling Algorithm Using Dynamic Voltage Scaling for Parallel Applications on Clusters
In the past decade cluster computing platforms have been widely applied to support a variety of scientific and commercial applications, many of which are parallel in nature. Howev...
Xiaojun Ruan, Xiao Qin, Ziliang Zong, Kiranmai Bel...
SPAA
2009
ACM
14 years 9 months ago
Beyond nested parallelism: tight bounds on work-stealing overheads for parallel futures
Work stealing is a popular method of scheduling fine-grained parallel tasks. The performance of work stealing has been extensively studied, both theoretically and empirically, but...
Daniel Spoonhower, Guy E. Blelloch, Phillip B. Gib...