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» Optimizing for parallelism and data locality
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ICDCS
2002
IEEE
15 years 11 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
IPPS
2003
IEEE
15 years 11 months ago
Approximate Search Engine Optimization for Directory Service
Today, in many practical E-Commerce systems, the real stored data usually are short strings, such as names, addresses, or other information. Searching data within these short stri...
Kai-Hsiang Yang, Chi-Chien Pan, Tzao-Lin Lee
MICRO
2006
IEEE
132views Hardware» more  MICRO 2006»
16 years 2 days ago
Data-Dependency Graph Transformations for Superblock Scheduling
The superblock is a scheduling region which exposes instruction level parallelism beyond the basic block through speculative execution of instructions. In general, scheduling supe...
Mark Heffernan, Kent D. Wilken, Ghassan Shobaki
153
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IPPS
2006
IEEE
16 years 3 days ago
Dual-layered file cache on cc-NUMA system
CC-NUMA is a widely adopted and deployed architecture of high performance computers. These machines are attractive for their transparent access to local and remote memory. However...
Zhou Yingchao, Meng Dan, Ma Jie
DCOSS
2009
Springer
16 years 19 days ago
Optimal Allocation of Time-Resources for Multihypothesis Activity-Level Detection
Abstract. The optimal allocation of samples for activity-level detection in a wireless body area network for health-monitoring applications is considered. A wireless body area netw...
Gautam Thatte, Viktor Rozgic, Ming Li, Sabyasachi ...