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CLUSTER
2009
IEEE
15 years 4 months ago
Analyzing massive astrophysical datasets: Can Pig/Hadoop or a relational DBMS help?
Abstract— As the datasets used to fuel modern scientific discovery grow increasingly large, they become increasingly difficult to manage using conventional software. Parallel d...
Sarah Loebman, Dylan Nunley, YongChul Kwon, Bill H...
FPL
2008
Springer
116views Hardware» more  FPL 2008»
14 years 11 months ago
NOC architecture design for multi-cluster chips
For the next generation of multi-core processors, the onchip interconnection networks must be efficient to achieve high data throughput and performance. Moreover, these interconne...
Henrique C. Freitas, Philippe Olivier Alexandre Na...
CF
2004
ACM
15 years 3 months ago
Improving the execution time of global communication operations
Many parallel applications from scientific computing use MPI global communication operations to collect or distribute data. Since the execution times of these communication opera...
Matthias Kühnemann, Thomas Rauber, Gudula R&u...
KDD
2008
ACM
209views Data Mining» more  KDD 2008»
15 years 10 months ago
Combinational collaborative filtering for personalized community recommendation
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...
WenYen Chen, Dong Zhang, Edward Y. Chang
CLUSTER
2004
IEEE
15 years 1 months ago
FTC-Charm++: an in-memory checkpoint-based fault tolerant runtime for Charm++ and MPI
As high performance clusters continue to grow in size, the mean time between failure shrinks. Thus, the issues of fault tolerance and reliability are becoming one of the challengi...
Gengbin Zheng, Lixia Shi, Laxmikant V. Kalé