DLR Portal
Home
|
Sitemap
|
Contact
|
Accessibility
Imprint and terms of use
Privacy
Cookies & Tracking
|
Deutsch
You are here:
Home
:
News
:
Program
Advanced Search
News
Archive
Institute
Departments
Activities
Projects
Software
Publications
Offers
How to get to us
Program
Print
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
PyHPC 2013
Program
Call for Papers
Links
SC13
Submission page (EasyChair)
Facebook event page
Google+ event page
Twitter @PyHPC2013
PyHPC.org
PyHPC BoF session signup
Paper
High-Performance Python-based Simulations of Pressure and Temperature Waves in a Trace Gas Sensor
(0.39 MB)
Doubling the Performance of Python/NumPy with less than 100 SLOC
(0.38 MB)
ClusterShell, Python library and tools for scalable cluster administration
(0.17 MB)
Bohrium: Unmodified NumPy Code on CPU, GPU, and Cluster
(0.33 MB)
A Problem Solving Environment for Stochastic Biological Simulations
(11.56 MB)
Peach-Py: A Python Framework for Developing High-Performance Assembly Kernels
(0.21 MB)
Synergia: Driving Massively Parallel Particle Accelerator Simulations with Python
(0.25 MB)
Compiling Python Modules to Native Parallel Modules Using Pythran and OpenMP Annotations
(0.24 MB)
not licensed
not licensed
Copyright © 2023 German Aerospace Center (DLR). All rights reserved.