VECPAR: High Performance Computing for Computational Science (Vector and Parallel Processing)

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2019 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
VECPAR 2018 13th International Meeting on High Performance Computing for Computational Science
Sep 17, 2018 - Sep 19, 2018 São Pedro - SP - Brazil Jun 15, 2018
VECPAR 2016 High Performance Computing for Computational Science
Jun 27, 2016 - Jun 30, 2016 Porto Feb 5, 2016
VECPAR 2012 10th International Meeting on High-Performance Computing for Computational Science
Jul 17, 2012 - Jul 20, 2012 Kobe, Japan Dec 23, 2011
 
 

Present CFP : 2018

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CALL FOR PAPERS
13th International Meeting on High-Performance Computing
for Computational Science (VECPAR 2018)

The conference is organised by UNESP and UFSCAR.
September 17 - 19, 2018
Sao Pedro - SP, Brazil
http://vecpar2018.ncc.unesp.br/
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IMPORTANT DATES:

Deadline for submission: June 15th, 2018
Notification of acceptance: August 18th, 2018
Workshop proposal: May 15th, 2018
Camera­ ready version: August 30th, 2018, on easychair.org.

The International Meeting on High­ Performance Computing for Computational Science (VECPAR) is the premier venue for presenting and discussing the latest research and practice in high­ end computer modelling and complex systems. VECPAR encourages submission of research contributions from academia, research laboratories and industry to address pressing issues in computational science resulting from applications of interest to society and hardware innovations.

VECPAR 18, the 13th edition of the VECPAR series of conferences is organised by the São Paulo State University (UNESP), Brazil, and by the Federal University of São Carlos (UFSCAR), Brazil.

Contributions are solicited in all areas of computational science and engineering (CS&E), including (but not limited to) the following topics:
- Large­ scale Simulations in CS&E
- Parallel and Distributed Computing
- Parallel Algorithms
- Numerical Algorithms on Multicore, GPUs and Emerging Architectures
- Symbolic algorithms on Multicore, GPUs and Emerging Architectures
- Support Tools and Environments
- Scheduling and Load Balancing
- Performance Analysis, Evaluation and Tuning
- Parallel and high performance machine learning algorithms and applications


Submissions should be made through EasyChair, at:
https://easychair.org/my/conference.cgi?conf=vecpar2018

Submitted papers must be formatted according to the rules of the Springer
Series Lecture Notes in Computer Science (LNCS):
http://www.springer.com/gb/computer-science/lncs/conference-proceedings-guidelines

Please note that papers must not exceed 14 pages in length, using the LNCS format.
Papers will be evaluated based on relevance, significance, originality, correctness and clarity.

Printed versions of the invited talks and accepted papers will be published by Springer in the series Lecture Notes in Computer Science (LNCS).

Authors of selected papers will be invited to submit extended versions of their papers for publication (upon evaluation) in a peer reviewed journal (TBA).
 

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