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DTSTAMP:20260522T150117Z
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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:Andreas Schreiber (German Aerospace Center), William Scullin (
 Argonne National Laboratory), Bill Spotz (Sandia National Laboratories), a
 nd Rollin Thomas (Lawrence Berkeley National Laboratory)\n\nPython is an e
 stablished, high-level programming language with a large community in acad
 emia and industry. Scientists, engineers, and educators use Python for dat
 a science, high-performance computing, and distributed computing. Since Py
 thon is extremely easy to learn with a very clean syntax, it is well-suite
 d for education in scientific computing. Programmers are much more product
 ive by using Python. \n\nThe workshop will bring together researchers and 
 practitioners using Python in all aspects of data science and high perform
 ance computing. The goal is to present Python applications, to discuss gen
 eral topics regarding the use of Python, and to share experiences using Py
 thon in scientific computing. While Python is extremely strong in supporti
 ng human productivity as well reproducible science, it still lacks in comp
 utational performance compared to classical HPC languages such as Fortran 
 or C. We especially encourage authors to submit novel research in improvin
 g performance of Python applications as well as research on productivity o
 f development with Python.\n\nSince Python itself can be seen as a ‘tradit
 ional’, established language for computational sciences, we like to move t
 he focus of the workshop toward the role of Python within today's and futu
 re computing ecosystems. On the one hand, we foster discussion by seeking 
 submissions that compare Python to other - dynamics and emerging - languag
 es, which are widely used for HPC and scientific computing. On the other h
 and, we seek contributions on the use of Python on novel computing archite
 ctures, such as quantum computers or neuromorphic systems.\n\nMore informa
 tion: http://www.dlr.de/sc/pyhpc2018\n\nTag: Parallel Application Framewor
 ks, Reproducibility, Scientific Computing\n\nRegistration Category: Worksh
 op Reg Pass\n\n
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