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His research has pushed the scalability limits of data science based on emergent storage technologies. This has ranged from engineering file systems for storage area networks in the 1990s, building scientific web services on scale-out cloud storage in the 2000s, and developing graph and sparse-matrix engines for machine learning in the 2010s. His work has been inspired by high-throughput science, including numerical simulations for turbulence, neuroscience microscopy, and observational astronomy.
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论文共 197 篇作者统计合作学者相似作者
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CoRR (2024)
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CoRR (2024)
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PROCEEDINGS OF THE 37TH INTERNATIONAL CONFERENCE ON SUPERCOMPUTING, ACM ICS 2023pp.133-143, (2023)
ALENEXpp.148-161, (2023)
CoRR (2023): 348-363
International Conference on High Performance Computing, Data, and Analyticspp.97-106, (2023)
Joshua T. Vogelstein,Timothy Verstynen,Konrad P. Kording,Leyla Isik,John W. Krakauer,Ralph Etienne-Cummings,Elizabeth L. Ogburn,Carey E. Priebe,Randal Burns, Kwame Kutten,James J. Knierim, James B. Potash,
arxiv(2022)
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