Workshop Python for High Performance and Scientific Computing (PyHPC 2013)

Program

Date: Monday, November 18, 2013

Room: 505

Time	Presenters	Title	Paper	Slides
9:00 - 9:10	Andreas Schreiber (DLR) and William Scullin (ANL)	*Welcome & Introduction*
9:10 - 9:30	Matthew Turk for Anthony Scopatz and NumFOCUS	NumFOCUS: A Foundation Supporting Open Scientific Software
9:30 - 10:10	Brian Brennan, Robert C. Kirby, John Zweck and Susan E. Minkoff	High-Performance Python-based Simulations of Pressure and Temperature Waves in a Trace Gas Sensor
10:10 - 10:30	Break
10:30 - 11:10	Simon A. F. Lund, Kenneth Skovhede, Mads R. B. Kristensen and Brian Vinter	Doubling the Performance of Python/NumPy with less than 100 SLOC
11:10 - 11:50	Stephane Thiell, Aurelien Degremont and Henri Doreau	ClusterShell, Python library and tools for scalable cluster administration
11:50 - 12:50	Lunch Break
12:50 - 13:30	Mads R. B. Kristensen, Simon A. F. Lund, Troels Blum, Kenneth Skovhede and Brian Vinter	Bohrium: Unmodified NumPy Code on CPU, GPU, and Cluster
13:30 - 14:10	Joseph Peterson, Michael J Hallock, John A Cole and Zan Luthey-Schulten	A Problem Solving Environment for Stochastic Biological Simulations
14:10 - 14:50	Marat Dukhan	Peach-Py: A Python Framework for Developing High-Performance Assembly Kernels
15:00 - 15:30	Break
15:30 - 16:10	James Amundson, Qiming Lu and Eric Stern	Synergia: Driving Massively Parallel Particle Accelerator Simulations with Python
16:10 - 16:50	Serge Guelton, Pierrick Brunet and Mehdi Amini	Compiling Python Modules to Native Parallel Modules Using Pythran and OpenMP Annotations
16:50 - 17:30	Andreas Schreiber (DLR) and William Scullin (ANL)	*Discussion and Closing*