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ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
14 years 7 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
ASPLOS
2009
ACM
15 years 1 months ago
Gordon: using flash memory to build fast, power-efficient clusters for data-intensive applications
As our society becomes more information-driven, we have begun to amass data at an astounding and accelerating rate. At the same time, power concerns have made it difficult to brin...
Adrian M. Caulfield, Laura M. Grupp, Steven Swanso...
73
Voted
CGF
1999
125views more  CGF 1999»
14 years 9 months ago
Partitioning and Handling Massive Models for Interactive Collision Detection
We describe an approach for interactive collision detection and proximity computations on massive models composed of millions of geometric primitives. We address issues related to...
Andy Wilson, Eric Larsen, Dinesh Manocha, Ming C. ...
CLUSTER
2006
IEEE
15 years 1 months ago
Improving Communication Performance on InfiniBand by Using Efficient Data Placement Strategies
Despite using high-speed network interconnection systems like InfiniBand, the communication overhead for parallel applications is still high. In this paper we show, how such costs...
Robert Rex, Frank Mietke, Wolfgang Rehm, Christoph...
89
Voted
TVLSI
2010
14 years 4 months ago
Improving Multi-Level NAND Flash Memory Storage Reliability Using Concatenated BCH-TCM Coding
By storing more than one bit in each memory cell, multi-level per cell (MLC) NAND flash memories are dominating global flash memory market due to their appealing storage density ad...
Shu Li, Tong Zhang