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个人简介
Part of his work covers software and system design for scalable, scientific computing. Ensuring scientifically reproducible computation for large scale simulation models is quite complex. Tracking all data sources, their provenance, their transformations to fit required input formats, the tracking of the tools and algorithms used to transform the data, as well as the simulation models that were used, give rise to many challenges. This work addresses this problem as well as efficient ways to add and combine simulation models for innovative and rapid modeling and analysis with integrated validation and data quality assessments.
Mortveit enjoys scientific visualization of spatial phenomena, in particular illustrations of dynamics of large, interaction-based systems involving synthetic information.
Mortveit enjoys scientific visualization of spatial phenomena, in particular illustrations of dynamics of large, interaction-based systems involving synthetic information.
研究兴趣
论文共 141 篇作者统计合作学者相似作者
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Kazi Ashik Islam,Zakaria Mehrab, Mahantesh Halappanavar,Henning Mortveit, Sridhar Katragadda, Jon Derek Loftis, Madhav Marathe
arxiv(2025)
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International Conference on Autonomous Agents and Multiagent Systemspp.1372-1380, (2024)
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2024)
Joy Kitson, Ian Costello,Jiangzhuo Chen,Diego Jiménez,Stefan Hoops,Henning Mortveit,Esteban Meneses,Jae-Seung Yeom,Madhav V. Marathe,Abhinav Bhatele
CoRR (2024)
PNAS NEXUSno. 3 (2024)
IEEE International Conference on Big Datapp.1775-1784, (2024)
MULTI-AGENT-BASED SIMULATION XXIV, MABS 2023 (2024): 30-45
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作者统计
#Papers: 141
#Citation: 2311
H-Index: 26
G-Index: 41
Sociability: 6
Diversity: 3
Activity: 32
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