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Journal of Computational Science, Volume 14

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Volume 14, May 2016

SPECIAL ISSUE : The Route to Exascale: Novel Mathematical Methods, Scalable Algorithms Skills Training

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Vassil Alexandrov:
Route to exascale: Novel mathematical methods, scalable algorithms and Computational Science skills. 1-4
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Nahid Emad, Serge G. Petiton:
Unite and conquer approach for high scale numerical computing. 5-14
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Mariano Vázquez, Guillaume Houzeaux, Seid Koric, Antoni Artigues, Jazmin Aguado-Sierra, Ruth Aris, Daniel Mira, Hadrien Calmet, Fernando M. Cucchietti, Herbert Coppola-Owen, Ahmed Taha, Evan Dering Burness, José María Cela, Mateo Valero:
Alya: Multiphysics engineering simulation toward exascale. 15-27
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  - journals/jocs/SanjuanBMC16
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Gemma Sanjuan, Carlos Brun, Tomàs Margalef, Ana Cortés:
Determining map partitioning to minimize wind field uncertainty in forest fire propagation prediction. 28-37
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Sukhyun Song, Jeffrey K. Hollingsworth:
Computation-communication overlap and parameter auto-tuning for scalable parallel 3-D FFT. 38-50
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James Elliott, Mark Hoemmen, Frank Mueller:
Exploiting data representation for fault tolerance. 51-60
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Dalian Liu, Yong Shi, Yingjie Tian, Xiankai Huang:
Ramp loss least squares support vector machine. 61-68

Special Section on Education and Training for Exascale

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Nia Alexandrov:
Education and training for exascale. 69-73
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Maria-Ribera Sancho:
BSC Best Practices in Professional Training and Teaching for the HPC Ecosystem. 74-77
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Anton Frank, Matti Heikkurinen, Ferdinand Jamitzky, Helmut Satzger, Dieter Kranzlmüller:
In need of partnerships - An essay about the collaboration between computational sciences and IT services. 78-84
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Michael Schiffers, Nils gentschen Felde, Dieter Kranzlmüller:
I have a DRIHM: A case study in lifting computational science services up to the scientific mainstream. 85-89

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