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» Scaling Science Applications on Blue Gene
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ICDCS
2009
IEEE
14 years 4 months ago
REMO: Resource-Aware Application State Monitoring for Large-Scale Distributed Systems
To observe, analyze and control large scale distributed systems and the applications hosted on them, there is an increasing need to continuously monitor performance attributes of ...
Shicong Meng, Srinivas R. Kashyap, Chitra Venkatra...
IPPS
2005
IEEE
14 years 1 months ago
Performance Implications of Periodic Checkpointing on Large-Scale Cluster Systems
Large-scale systems like BlueGene/L are susceptible to a number of software and hardware failures that can affect system performance. Periodic application checkpointing is a commo...
Adam J. Oliner, Ramendra K. Sahoo, José E. ...
SPAA
2006
ACM
14 years 1 months ago
Astronomical real-time streaming signal processing on a Blue Gene/L supercomputer
LOFAR is the first of a new generation of radio telescopes, that combines the signals from many thousands of simple, fixed antennas, rather than from expensive dishes. Its revol...
John W. Romein, P. Chris Broekema, Ellen van Meije...
IPPS
2007
IEEE
14 years 1 months ago
An Adaptive Semantic Filter for Blue Gene/L Failure Log Analysis
— Frequent failure occurrences are becoming a serious concern to the community of high-end computing, especially when the applications and the underlying systems rapidly grow in ...
Yinglung Liang, Yanyong Zhang, Hui Xiong, Ramendra...
CSE
2011
IEEE
12 years 7 months ago
Performance Modeling of Hybrid MPI/OpenMP Scientific Applications on Large-scale Multicore Cluster Systems
In this paper, we present a performance modeling framework based on memory bandwidth contention time and a parameterized communication model to predict the performance of OpenMP, M...
Xingfu Wu, Valerie E. Taylor