posted by user: cferreira || 7115 views || tracked by 17 users: [display]

VECPAR 2016 : High Performance Computing for Computational Science

FacebookTwitterLinkedInGoogle


Conference Series : High Performance Computing for Computational Science (Vector and Parallel Processing)
 
Link: http://vecpar.fe.up.pt/2016/
 
When Jun 27, 2016 - Jun 30, 2016
Where Porto
Submission Deadline Feb 5, 2016
Notification Due Mar 20, 2016
Final Version Due May 2, 2016
Categories    high performance computing   large scale simulations   parallel computing   multicore algorithms
 

Call For Papers

------------------------------------------------------------------------------------------
CALL FOR PAPERS
12th International Meeting on High-Performance Computing
for Computational Science (VECPAR 2016)

University of Porto, Porto, Portugal
June 27 - 30, 2016
http://vecpar.fe.up.pt/2016/
-------------------------------------------------------------------------------------------


IMPORTANT DATES: (EXTENDED DEADLINES!)

Deadline for submission: *** February 5th, 2016 ***
Notification of acceptance: March 20th, 2016
Camera­ ready version: May 2nd, 2016


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 modeling 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’16,
the 12th edition of the VECPAR series of conferences is organized by the University of Porto,
Portugal, and will be held at the Department of Computer Science, School of Sciences.

An award is planned for best student papers.

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

You should make your submissions through EasyChair at:
https://www.easychair.org/conferences/?conf=vecpar2016

Submitted papers must be formatted according to the rules of the Springer Series Lecture Notes in
Computer Science (LNCS):
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0

Please note that papers (for conference presentation) must not exceed 8 pages in length, using the
LNCS format. Accepted papers will be distributed in electronic format to participants of VECPAR’16.
Printed versions of the invited talks and a set of selected papers will be published by Springer in
the series entitled Lecture Notes in Computer Science. Selected papers will be limited to 14 pages
and will be judged based on relevance, significance, originality, correctness and clarity. More
information about this process will be sent to interested authors after the conference.

Related Resources

HPDC 2023   The 32nd International Symposium on High-Performance Parallel and Distributed Computing
HPCCT 2023   ACM--2023 7th High Performance Computing and Cluster Technologies Conference (HPCCT 2023)
ACM HPCCT 2023   ACM--2023 7th High Performance Computing and Cluster Technologies Conference (HPCCT 2023)
Euro-Par 2023   European Conference on Parallel Processing
ISC HPC 2023   ISC High Performance 2023
HP3C 2023   2023 7th International Conference on High Performance Compilation, Computing and Communications (HP3C 2023)
GPGPU 2023   15th Workshop on General Purpose Processing Using GPU
HPCC 2022   IEEE HPCC-2022 International Conference on High Performance Computing and Communications
HP3C--Ei 2023   2023 7th International Conference on High Performance Compilation, Computing and Communications (HP3C 2023)
ICACII 2023   2nd International Conference on Advances in Computational Intelligence and Informatics