Minisymposium on High Performance Computing Interval Methods

Two major measures of the quality of high performance computations are numerical precision and efficiency.

Interval methods are a class of algorithms that are precise 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 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
• practical applications of interval scientific computing algorithms

The Minisymposium is a part of the PPAM 2017 12th International Conference on Parallel Processing and Applied Mathematics.

As the PPAM 2017 Conference, the Minisymposium is going to take place in Lublin, Poland, in September 10-13, 2017.

All rules of the PPAM 2017 Conference apply, including the deadlines and required format of the abstracts/papers.

Please, send your questions and submissions to Bartłomiej Jacek Kubica -- the preferred address is: bartlomiej.jacek.kubica@gmail.com.

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

• Vladik Kreinovich, University of Texas at El Paso, USA
• Bartłomiej Jacek Kubica, Warsaw University of Life Sciences - SGGW, Poland
• Pawel Sewastjanow, Czestochowa University of Technology, Poland
• Jerzy Waśniewski, Technical University of Denmark, Denmark