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» Optimizing for parallelism and data locality
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149
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NIPS
2001
15 years 6 months ago
Spectral Relaxation for K-means Clustering
The popular K-means clustering partitions a data set by minimizing a sum-of-squares cost function. A coordinate descend method is then used to nd local minima. In this paper we sh...
Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming ...
TNC
2004
132views Education» more  TNC 2004»
15 years 6 months ago
Distributed Encoding Environment based on Grids and IBP Infrastructure
This paper introduces an environment for distributed video transcoding based on Grid computing infrastructure and Internet Backplane Protocol storage infrastructure. A model for s...
Petr Holub, Lukás Hejtmánek
173
Voted
ICPP
2009
IEEE
15 years 11 months ago
Accelerating Checkpoint Operation by Node-Level Write Aggregation on Multicore Systems
—Clusters and applications continue to grow in size while their mean time between failure (MTBF) is getting smaller. Checkpoint/Restart is becoming increasingly important for lar...
Xiangyong Ouyang, Karthik Gopalakrishnan, Dhabales...
145
Voted
PVM
1998
Springer
15 years 9 months ago
SKaMPI: A Detailed, Accurate MPI Benchmark
Abstract. SKaMPI is a benchmark for MPI implementations. Its purpose is the detailed analysis of the runtime of individual MPI operations and comparison of these for di erent imple...
Ralf Reussner, Peter Sanders, Lutz Prechelt, Matth...
SIGMETRICS
1992
ACM
128views Hardware» more  SIGMETRICS 1992»
15 years 9 months ago
MemSpy: Analyzing Memory System Bottlenecks in Programs
To cope with the increasing difference between processor and main memory speeds, modern computer systems use deep memory hierarchies. In the presence of such hierarchies, the perf...
Margaret Martonosi, Anoop Gupta, Thomas E. Anderso...