Coverart for item
The Resource Proceedings of PyHPC2016 : 6th Workshop on Python for High-Performance and Scientific Computing, ACM, IEEE Computer Society, SIGHPC

Proceedings of PyHPC2016 : 6th Workshop on Python for High-Performance and Scientific Computing, ACM, IEEE Computer Society, SIGHPC

Label
Proceedings of PyHPC2016 : 6th Workshop on Python for High-Performance and Scientific Computing
Title
Proceedings of PyHPC2016
Title remainder
6th Workshop on Python for High-Performance and Scientific Computing
Statement of responsibility
ACM, IEEE Computer Society, SIGHPC
Title variation
  • PyHPC2016
  • PyHPC 2016
  • 6th Workshop on Python for High-Performance and Scientific Computing
  • Proceedings of the 6th Workshop on Python for High-Performance and Scientific Computing
  • 2016 6th Workshop on Python for High Performance and Scientific Computing (PyHPC)
Creator
Contributor
Issuing body
Sponsoring body
Subject
Genre
Language
eng
Summary
Annotation
Member of
Cataloging source
VT2
Illustrations
illustrations
Index
no index present
Intended audience
Scholarly & Professional
Intended audience source
IEEE
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2016
http://bibfra.me/vocab/lite/meetingName
Workshop on Python for High-Performance and Scientific Computing
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
2016
http://library.link/vocab/relatedWorkOrContributorName
  • Association for Computing Machinery
  • IEEE Computer Society
  • Association for Computing Machinery
  • Institute of Electrical and Electronics Engineers
  • International Conference for High-Performance Computing, Networking, Storage and Analysis
http://library.link/vocab/subjectName
  • Python (Computer program language)
  • High performance computing
  • Science
Summary expansion
The overarching theme of the workshop is productivity vs performance in HPC and scientific programming While Python is extremely strong in supporting human productivity, it still lacks in computational performance compared to traditional HPC languages such as Fortran or C For the workshop, we encourage authors to submit novel research in improving performance of Python applications as well as research on productivity of development with Python The workshop will bring together researchers and practitioners using Python in all aspects of high performance and scientific computing The goal is to present Python applications from mathematics, science, and engineering, to discuss general topics regarding the use of Python, and to share experiences using Python in scientific computing education
Label
Proceedings of PyHPC2016 : 6th Workshop on Python for High-Performance and Scientific Computing, ACM, IEEE Computer Society, SIGHPC
Instantiates
Publication
Copyright
Note
"Held in conjunction with SC16: The International Conference for High Performance Computing, Networking, Storage and Analysis, Salt Lake City, Utah, November 13-18, 2016."
Bibliography note
Includes bibliographical references and author index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
IEEE981028706
Dimensions
unknown
Extent
1 online resource (92 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
Specific material designation
remote
System control number
  • ocn981028706
  • (OCoLC)981028706
Label
Proceedings of PyHPC2016 : 6th Workshop on Python for High-Performance and Scientific Computing, ACM, IEEE Computer Society, SIGHPC
Publication
Copyright
Note
"Held in conjunction with SC16: The International Conference for High Performance Computing, Networking, Storage and Analysis, Salt Lake City, Utah, November 13-18, 2016."
Bibliography note
Includes bibliographical references and author index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
IEEE981028706
Dimensions
unknown
Extent
1 online resource (92 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
Specific material designation
remote
System control number
  • ocn981028706
  • (OCoLC)981028706

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