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» Co-Scheduling of Computation and Data on Computer Clusters
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CCGRID
2007
IEEE
15 years 8 months ago
Exploiting Heterogeneity for Collective Data Downloading in Volunteer-based Networks
Abstract— Scientific computing is being increasingly deployed over volunteer-based distributed computing environments consisting of idle resources on donated user machines. A fu...
Jinoh Kim, Abhishek Chandra, Jon B. Weissman
GRID
2006
Springer
15 years 1 months ago
Multi-Replication with Intelligent Staging in Data-Intensive Grid Applications
Existing data grid scheduling systems handle huge data I/O via replica location services coupled with simple staging, decoupled from scheduling of computing tasks. However, when th...
Yuya Machida, Shin'ichiro Takizawa, Hidemoto Nakad...

Publication
197views
13 years 9 months ago
Convex non-negative matrix factorization for massive datasets
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
C. Thurau, K. Kersting, M. Wahabzada, and C. Bauck...
CCGRID
2003
IEEE
15 years 6 months ago
Improved Read Performance in a Cost-Effective, Fault-Tolerant Parallel Virtual File System (CEFT-PVFS)
Due to the ever-widening performance gap between processors and disks, I/O operations tend to become the major performance bottleneck of data-intensive applications on modern clus...
Yifeng Zhu, Hong Jiang, Xiao Qin, Dan Feng, David ...
IPPS
2003
IEEE
15 years 6 months ago
Parallel ROLAP Data Cube Construction On Shared-Nothing Multiprocessors
The pre-computation of data cubes is critical to improving the response time of On-Line Analytical Processing (OLAP) systems and can be instrumental in accelerating data mining tas...
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andre...