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7th PyHPC@SC 2017: Denver, CO, USA

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Proceedings of the 7th Workshop on Python for High-Performance and Scientific Computing, PyHPC@SC 2017, Denver, CO, USA, November 12, 2017. ACM 2017, ISBN 978-1-4503-5124-9
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Ramon Amela, Cristian Ramon-Cortes, Jorge Ejarque, Javier Conejero, Rosa M. Badia:
Enabling Python to execute efficiently in heterogeneous distributed infrastructures with PyCOMPSs. 1:1-1:10
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  - conf/sc/KrebberBB17
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Manuel Krebber, Henrik Barthels, Paolo Bientinesi:
Efficient Pattern Matching in Python. 2:1-2:9
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Javier Alejandro Varela, Norbert Wehn, Sascha Desmettre, Ralf Korn:
Real-Time Financial Risk Measurement of Dynamic Complex Portfolios with Python and PyOpenCL. 3:1-3:10
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Zahra Ronaghi, Rollin C. Thomas, Jack Deslippe, Stephen Bailey, Doga Gürsoy, Theodore Kisner, Reijo Keskitalo, Julian Borrill:
Python in the NERSC Exascale Science Applications Program for Data. 4:1-4:10
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Breawn Schoun, Shane Transue, Min-Hyung Choi:
Real-time Thermal Medium-based Breathing Analysis with Python. 5:1-5:9
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Ivan Pachev, Chris Lupo:
GPUMap: A Transparently GPU-accelerated Python Map Function. 6:1-6:10
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Nick Hand, Yu Feng:
nbodykit: A Python Toolkit for Cosmology Simulations and Data Analysis on Parallel HPC Systems. 7:1-7:10
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Saba Sehrish, James B. Kowalkowski, Marc F. Paterno, Chris Green:
Python and HPC for High Energy Physics Data Analyses. 8:1-8:8

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