Improving the Scalability of an Operational Scientific Application in a Large Multi-core Cluster
暂无分享,去创建一个
C. L. Mendes | A. L. Fazenda | E. R. Rodrigues | S. S. Tomita | J. Panetta | C. Mendes | Á. Fazenda | J. Panetta | E. Rodrigues | Alvaro Luiz Fazenda | Simone S. Tomita | Jairo Panetta
[1] Florin Isaila,et al. Integrating collective I/O and cooperative caching into the "clusterfile" parallel file system , 2004, ICS '04.
[2] J. Dongarra,et al. The Impact of Multicore on Computational Science Software , 2007 .
[3] G. Blake,et al. A survey of multicore processors , 2009, IEEE Signal Processing Magazine.
[4] Laxmikant V. Kalé,et al. A Comparative Analysis of Load Balancing Algorithms Applied to a Weather Forecast Model , 2010, 2010 22nd International Symposium on Computer Architecture and High Performance Computing.
[5] Philippe Olivier Alexandre Navaux,et al. Challenges and solutions to improve the scalability of an operational regional meteorological forecasting model , 2011, Int. J. High Perform. Syst. Archit..
[6] Anthony Skjellum,et al. A High-Performance, Portable Implementation of the MPI Message Passing Interface Standard , 1996, Parallel Comput..
[7] David E. Bernholdt,et al. Erratum: An experimental evaluation of I/O optimizations on different applications (IEEE Transactions on Parallel and Distributed Systems) , 2002 .
[8] S. Freitas,et al. The Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modeling System (CATT-BRAMS) – Part 1: Model description and evaluation , 2007 .
[9] Ming Xue,et al. Numerical Prediction of High-Impact Local Weather: A Driver for Petascale Computing , 2007 .