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MHPC-IM 2022 : Minisymposium on High Performance Computing Interval Methods
MHPC-IM 2022 : Minisymposium on High Performance Computing Interval Methods

MHPC-IM 2022 : Minisymposium on High Performance Computing Interval Methods

Gdansk, Poland
Event Date: September 11, 2022 - September 14, 2022
Submission Deadline: May 20, 2022
Notification of Acceptance: June 25, 2022
Camera Ready Version Due: November 09, 2022




Call for Papers

The submission deadline is extended till May 20!!!

Overview:
============
Two major measures of the quality of high performance computations are numerical accuracy and efficiency.

Interval methods are a class of algorithms that are accurate and even allow to obtain a guaranteed result. They also provide a useful and appropriate tool to describe the uncertainty of parameters, discretization inaccuracy, and numerical errors. Nevertheless, they are usually time-consuming and memory-demanding. Hence, all attempts to increase their efficiency are required and valuable: parallel implementations, use of
new data structures, improved algorithms.

The Minisymposium is going to provide a forum for interval researchers to share their experiences and present possible improvements to the algorithms and successful applications.

Topics of interest include (but are not limited to):

• parallelization of interval methods, in particular on multi-core architectures, supercomputers, grids or clouds
• the use of GPU computing and hybrid architectures for interval analysis,
• the use of BLAS, LAPACK, novel data formats, and data structures for interval computations
• auto-tuning of interval algorithms
• global optimization/equations solving methods
• linear systems with interval parameters
• ordinary and partial differential equations
• fuzzy numbers and fuzzy calculus
• practical applications of interval scientific computing algorithms, including machine learning ones

The Minisymposium is a part of the PPAM 2022 14th International Conference on Parallel Processing and Applied Mathematics. As the PPAM 2022 Conference, the Minisymposium is going to take place in Gdańsk, Poland, on September 11-14, 2022.

All rules of the PPAM 2022 Conference apply, including the deadlines, required format of the abstracts/papers, and their submission via the EasyChair system of PPAM.

Please, send all your questions to Bartłomiej Jacek Kubica -- the preferred address is:
[email protected]

Persons responsible for the Minisymposium organization (in alphabetic order):

• Milan Hladik , Charles University, Czech Republic.
• Vladik Kreinovich , University of Texas at El Paso, USA.
• Bartłomiej Jacek Kubica , Warsaw University of Life Sciences, Poland.
• Nathalie Revol , Inria, Ecole Normale Superieure de Lyon, France.
• Iwona Skalna , AGH University of Science and Technology, Poland.


Summary

MHPC-IM 2022 : Minisymposium on High Performance Computing Interval Methods will take place in Gdansk, Poland. It’s a 4 days event starting on Sep 11, 2022 (Sunday) and will be winded up on Sep 14, 2022 (Wednesday).

MHPC-IM 2022 falls under the following areas: INTERVAL METHODS, FUZZY METHODS, HPC, MACHINE LEARNING, etc. Submissions for this Symposium can be made by May 20, 2022. Authors can expect the result of submission by Jun 25, 2022. Upon acceptance, authors should submit the final version of the manuscript on or before Nov 9, 2022 to the official website of the Symposium.

Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.

Other Details of the MHPC-IM 2022

  • Short Name: MHPC-IM 2022
  • Full Name: Minisymposium on High Performance Computing Interval Methods
  • Timing: 09:00 AM-06:00 PM (expected)
  • Fees: Check the official website of MHPC-IM 2022
  • Event Type: Symposium
  • Website Link: https://ppam.edu.pl/workshops
  • Location/Address: Gdansk, Poland


Credits and Sources

[1] MHPC-IM 2022 : Minisymposium on High Performance Computing Interval Methods


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