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Research Interests
parallel algorithms
numerical linear algebra
communication complexity
algebraic programming abstractions
computational quantum chemistry
high performance computing
graph theory
The research area of communication complexity is a unifying triangle of high performance computing, numerical linear algebra, and theoretical computer science. Quantification of data movement and synchronization costs improves understanding of the efficiency and scalability of algorithms.My work seeks new methods and better software libraries for (sparse) tensor computations as well as combinatorial problems such as sorting. My favorite application domain is quantum chemistry.
parallel algorithms
numerical linear algebra
communication complexity
algebraic programming abstractions
computational quantum chemistry
high performance computing
graph theory
The research area of communication complexity is a unifying triangle of high performance computing, numerical linear algebra, and theoretical computer science. Quantification of data movement and synchronization costs improves understanding of the efficiency and scalability of algorithms.My work seeks new methods and better software libraries for (sparse) tensor computations as well as combinatorial problems such as sorting. My favorite application domain is quantum chemistry.
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SciPost Physics Codebases (2023)
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SIAM JOURNAL ON SCIENTIFIC COMPUTINGno. 6 (2023): A2781-A2812
PROCEEDINGS OF THE 35TH ACM SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURES, SPAA 2023 (2023): 467-478
CoRR (2023)
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ASPLOS 2023: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3pp.15-16, (2023)
CoRR (2023): 710-724
Foundations of Computational Mathematicspp.1-47, (2023)
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