3 papers
cs.DC2025
Utilizing Sparsity in the GPU-accelerated Assembly of Schur Complement Matrices in Domain Decomposition Methods
Jakub Homola, OndÅej Meca, LubomÃr ÅÃha +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 StrakoÅ¡, Michal KravÄenko +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 VavÅÃk, OndÅej 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…