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PPOPP
2005
ACM
15 years 4 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...
SC
2003
ACM
15 years 4 months ago
Compiler Support for Exploiting Coarse-Grained Pipelined Parallelism
The emergence of grid and a new class of data-driven applications is making a new form of parallelism desirable, which we refer to as coarse-grained pipelined parallelism. This pa...
Wei Du, Renato Ferreira, Gagan Agrawal
HPCA
2011
IEEE
14 years 2 months ago
Essential roles of exploiting internal parallelism of flash memory based solid state drives in high-speed data processing
Flash memory based solid state drives (SSDs) have shown a great potential to change storage infrastructure fundamentally through their high performance and low power. Most recent ...
Feng Chen, Rubao Lee, Xiaodong Zhang
COMSWARE
2008
IEEE
15 years 5 months ago
An efficient and bandwidth sensitive parallel download scheme in data grids
—For modern scientific applications such as astrophysics, astronomy, aerography, and biology, a large amount of storage space is required because of the large-scale datasets. Dat...
Ruay-Shiung Chang, Chun-Fu Lin, Jiing-Hsing Ruey, ...
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IPPS
2007
IEEE
15 years 5 months ago
SWARM: A Parallel Programming Framework for Multicore Processors
Due to fundamental physical limitations and power constraints, we are witnessing a radical change in commodity microprocessor architectures to multicore designs. Continued perform...
David A. Bader, Varun Kanade, Kamesh Madduri