most citedLossy Data Compression By Adaptive Mesh Coarsening

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CE2026

A full software stack for epidemic disease management: Unlocking the joint potential of software technology and supercomputing

Jonas Gilg, Johann Fredrik Jadebeck, Mariama Jaiteh +22

Infectious diseases remain a major threat to human societies. During the recent COVID-19 pandemic, mathematical modeling and extensive computer simulations proved highly effective…

q-bio.PE2026

MEmilio -- A high performance Modular EpideMIcs simuLatIOn software for multi-scale and comparative simulations of infectious disease dynamics

Julia Bicker, Carlotta Gerstein, David Kerkmann +33

Epidemic and pandemic preparedness with rapid outbreak response rely on timely, trustworthy evidence. Mathematical models are crucial for supporting timely and reliable evidence ge…

cs.MA2024

Agent-based modeling for realistic reproduction of human mobility and contact behavior to evaluate test and isolation strategies in epidemic infectious disease spread

David Kerkmann, Sascha Korf, Khoa Nguyen +7

Agent-based models have proven to be useful tools in supporting decision-making processes in different application domains. The advent of modern computers and supercomputers has en…

cs.DC20241 cited

Lossy Data Compression By Adaptive Mesh Coarsening

N. Böing, J. Holke, C. Hergl +3

Today's scientific simulations, for example in the high-performance exascale sector, produce huge amounts of data. Due to limited I/O bandwidth and available storage space, there i…

quant-ph2024

Quantum Software Ecosystem Design

Achim Basermann, Michael Epping, Benedikt Fauseweh +7

The rapid advancements in quantum computing necessitate a scientific and rigorous approach to the construction of a corresponding software ecosystem, a topic underexplored and prim…