1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.DC2025★ 1 cited
Utilizing Sparsity in the GPU-accelerated Assembly of Schur Complement Matrices in Domain Decomposition Methods
Jakub Homola, Ondřej Meca, Lubomír Říha +1
Schur complement matrices emerge in many domain decomposition methods that can solve complex engineering problems using supercomputers. Today, as most of the high-performance clust…
cs.CV2025
Accelerated Volumetric Compression without Hierarchies: A Fourier Feature Based Implicit Neural Representation Approach
Leona Žůrková, Petr Strakoš, Michal Kravčenko +2
Volumetric data compression is critical in fields like medical imaging, scientific simulation, and entertainment. We introduce a structure-free neural compression method combining…
cs.MS2025
Assembly of FETI dual operator using CUDA
Jakub Homola, Radim Vavřík, Ondřej Meca +2
FETI is a numerical method used to solve engineering problems. It builds on the ideas of domain decomposition, which makes it highly scalable and capable of efficiently utilizing w…