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6th PyHPC@SC 2016: Salt Lake, UT, USA

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Andreas Schreiber, William Scullin, William F. Spotz, Andy R. Terrel:
6th Workshop on Python for High-Performance and Scientific Computing, PyHPC@SC 2016, Salt Lake, UT, USA, November 14, 2016. IEEE 2016, ISBN 978-1-5090-5220-2
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  - conf/sc/HarrisOGCKO16
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Chris Harris, Patrick O'Leary, Michael Grauer, Aashish Chaudhary, Chris Kotfila, Robert M. O'Bara:
Dynamic Provisioning and Execution of HPC Workflows Using Python. 1-8
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  - conf/sc/BysiekDM16
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Mateusz Bysiek, Aleksandr Drozd, Satoshi Matsuoka:
Migrating Legacy Fortran to Python While Retaining Fortran-Level Performance through Transpilation and Type Hints. 9-18
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Matteo Barbieri, Samuele Fiorini, Federico Tomasi, Annalisa Barla:
PALLADIO: A Parallel Framework for Robust Variable Selection in High-Dimensional Data. 19-26
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Wim T. L. P. Lavrijsen, Aditi Dutta:
High-Performance Python-C++ Bindings with PyPy and Cling. 27-35
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Matt Wytock, Steven Diamond, Felix Heide, Stephen P. Boyd:
A New Architecture for Optimization Modeling Frameworks. 36-44
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Ross Smith:
Performance of MPI Codes Written in Python with NumPy and mpi4py. 45-51
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Yuanzhe Li, Loren Schwiebert:
Boosting Python Performance on Intel Processors: A Case Study of Optimizing Music Recognition. 52-58
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Nick Brown:
ePython: An Implementation of Python for the Many-Core Epiphany Co-processor. 59-66
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Michael Lange, Navjot Kukreja, Mathias Louboutin, Fabio Luporini, Felippe Vieira, Vincenzo Pandolfo, Paulius Velesko, Paulius Kazakas, Gerard Gorman:
Devito: Towards a Generic Finite Difference DSL Using Symbolic Python. 67-75
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Jeffrey Lund, Chace Ashcraft, Andrew W. McNabb, Kevin D. Seppi:
Mrs: High Performance MapReduce for Iterative and Asynchronous Algorithms in Python. 76-85

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