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HIPC
2009
Springer
14 years 9 months ago
Continuous performance monitoring for large-scale parallel applications
Traditional performance analysis techniques are performed after a parallel program has completed. In this paper, we describe an online method for continuously monitoring the perfor...
Isaac Dooley, Chee Wai Lee, Laxmikant V. Kal&eacut...
EUROPAR
2009
Springer
15 years 6 months ago
PSPIKE: A Parallel Hybrid Sparse Linear System Solver
The availability of large-scale computing platforms comprised of tens of thousands of multicore processors motivates the need for the next generation of highly scalable sparse line...
Murat Manguoglu, Ahmed H. Sameh, Olaf Schenk
111
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IPPS
2010
IEEE
14 years 9 months ago
PreDatA - preparatory data analytics on peta-scale machines
Peta-scale scientific applications running on High End Computing (HEC) platforms can generate large volumes of data. For high performance storage and in order to be useful to scien...
Fang Zheng, Hasan Abbasi, Ciprian Docan, Jay F. Lo...
TNN
2008
138views more  TNN 2008»
14 years 11 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany
ISPDC
2005
IEEE
15 years 5 months ago
Collaborative Data Distribution with BitTorrent for Computational Desktop Grids
— Data-centric applications are still a challenging issue for Large Scale Distributed Computing Systems. The emergence of new protocols and softwares for collaborative content di...
Baohua Wei, Gilles Fedak, Franck Cappello