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DTSTART:19700308T020000
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DTSTAMP:20181221T160727Z
LOCATION:D220
DTSTART;TZID=America/Chicago:20181112T090000
DTEND;TZID=America/Chicago:20181112T090500
UID:submissions.supercomputing.org_SC18_sess172_wksp140@linklings.com
SUMMARY:Introduction - 8th Workshop on Python for High-Performance and Sci
 entific Computing
DESCRIPTION:Workshop\nParallel Application Frameworks, Reproducibility, Sc
 ientific Computing, Workshop Reg Pass\n\nIntroduction - 8th Workshop on Py
 thon for High-Performance and Scientific Computing\n\nSchreiber, Scullin, 
 Spotz, Thomas\n\nPython is an established, high-level programming language
  with a large community in academia and industry. Scientists, engineers, a
 nd educators use Python for data science, high-performance computing, and 
 distributed computing. Since Python is extremely easy to learn with a very
  clean syntax, it is well-suited for education in scientific computing. Pr
 ogrammers are much more productive by using Python. \n\nThe workshop will 
 bring together researchers and practitioners using Python in all aspects o
 f data science and high performance computing. The goal is to present Pyth
 on applications, to discuss general topics regarding the use of Python, an
 d to share experiences using Python in scientific computing. While Python 
 is extremely strong in supporting human productivity as well reproducible 
 science, it still lacks in computational performance compared to classical
  HPC languages such as Fortran or C. We especially encourage authors to su
 bmit novel research in improving performance of Python applications as wel
 l as research on productivity of development with Python.\n\nSince Python 
 itself can be seen as a ‘traditional’, established language for computatio
 nal sciences, we like to move the focus of the workshop toward the role of
  Python within today's and future computing ecosystems. On the one hand, w
 e foster discussion by seeking submissions that compare Python to other - 
 dynamics and emerging - languages, which are widely used for HPC and scien
 tific computing. On the other hand, we seek contributions on the use of Py
 thon on novel computing architectures, such as quantum computers or neurom
 orphic systems.\n\nMore information: http://www.dlr.de/sc/pyhpc2018
URL:https://sc18.supercomputing.org/presentation/?id=wksp140&sess=sess172
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