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****** Special Session on ******
****** Parallel EVD/SVD and its Application ******
****** in Matrix Computations ******
****** https://ppam.edu.pl/workshops ******
****** ******
****** in conjunction with: ******
****** 15TH INTERNATIONAL CONFERENCE ON ******
****** PARALLEL PROCESSING AND APPLIED MATHEMATICS ******
****** PPAM 2024 ******
****** September 8-11, 2024 ******
****** Ostrava, Czechia ******
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Special Session on Parallel SVD/EVD and its Application in Matrix Computations.
SVD (singular value decomposition) and EVD (eigenvalue decomposition) algorithms
belong to the fundamental methods of computational linear algebra and have a
strong impact on solving practical problems. They are most frequented in various
HPC applications. This Special Session focuses particularly on efficient
algorithms for SVD/EVD from the perspective of its design, convergence, and
accuracy. Reports on the implementation experience and results for parallel
computing platforms are welcome, as well as approaches for new parallel computing
paradigms, e.g., quantum computing.

The following (and related) items are of interest:
- efficient direct methods for SVD/EVD/NMF decompositions of large matrices
- Jacobi-based methods for SVD/EVD, their design and analysis
- application of sequential/parallel SVD/EVD for solving problems arising in
scientific and technical applications
- SVD/EVD algorithms for advanced parallel computing paradigms (e.g. quantum
computing, cloud computing).

Session organizer:
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Marian Vajtersic
University of Salzburg, Austria
and
Slovak Academy of Sciences, Slovakia
marian@cs.sbg.ac.at

Submission:
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High-quality original papers are invited to the Special Session. Papers will be
refereed and accepted based on their scientific merit and relevance to the Special
Session topics. Accepted and presented papers will be included in the proceedings
of PPAM 2024 and published after the conference by Springer-Verlag in the LNCS
series. Papers must be no more than 14 pages (LNCS style).
Authors should submit papers (as PDF files) through the PPAM 2024 site (track:
Special Session on Parallel SVD/EVD and its Application in Matrix Computations).
In case of any problems please contact the Special Session organizer.