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Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing.

J. Choi, R. Wang, R. Churchill, R. Kube, M. Choi, J. Park, J. Logan, K. Mehta, G. Eisenhauer, N. Podhorszki, M. Wolf, C. Chang, и S. Klasky. SMC, том 1315 из Communications in Computer and Information Science, стр. 285-299. Springer, (2020)

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Norbert Schlang

Auftreten der partiellen Taubährigkeit in Weizenbeständen: räumliche Verteilung der Fusarium-Arten und assoziierter MykotoxineN. Schlang. Uni Bonn, (2009)

Dr.-Ing. Norbert Grov

Norbert Bundscherer

Norbert Seck

Norbert Kohlstock

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Workflow automation for processing plasma fusion simulation data.N. Podhorszki, B. Ludäscher, и S. Klasky. WORKS@HPDC, стр. 35-44. ACM, (2007)Prewsentation and Analysis of Grid Performance Data.N. Podhorszki, и P. Kacsuk. Euro-Par, том 2790 из Lecture Notes in Computer Science, стр. 119-126. Springer, (2003)Special Issue: The First Provenance ChallengeL. Moreau, B. Ludäscher, I. Altintas, R. Barga, S. Bowers, S. Callahan, J. George Chin, B. Clifford, S. Cohen, S. Cohen-Boulakia и 40 other автор(ы). Concurrency and Computation: Practice & Experience, Special Issue on The First Provenance Challenge, 20 (5): 409-418 (апреля 2008)CORE A.Taming I/O variation on QoS-less HPC storage: what can applications do?Z. Qiao, Q. Liu, N. Podhorszki, S. Klasky, и J. Chen. SC, стр. 11. IEEE/ACM, (2020)Demonstration of P-GRADE Job-Mode for the Grid.P. Kacsuk, R. Lovas, J. Kovács, F. Szalai, G. Gombás, N. Podhorszki, Á. Horváth, A. Horányi, I. Szeberényi, T. Delaitre и 2 other автор(ы). Euro-Par, том 2790 из Lecture Notes in Computer Science, стр. 1281-1286. Springer, (2003)Tracking Files in the Kepler Provenance Framework.P. Mouallem, R. Barreto, S. Klasky, N. Podhorszki, и M. Vouk. SSDBM, том 5566 из Lecture Notes in Computer Science, стр. 273-282. Springer, (2009)Experiments with Memory-to-Memory Coupling for End-to-End Fusion Simulation Workflows.C. Docan, F. Zhang, M. Parashar, J. Cummings, N. Podhorszki, и S. Klasky. CCGRID, стр. 293-301. IEEE Computer Society, (2010)Querying Large Scientific Data Sets with Adaptable IO System ADIOS.J. Gu, S. Klasky, N. Podhorszki, J. Qiang, и K. Wu. SCFA, том 10776 из Lecture Notes in Computer Science, стр. 51-69. Springer, (2018)A Vision for Managing Extreme-Scale Data Hoards.J. Logan, K. Mehta, G. Heber, S. Klasky, T. Kurç, N. Podhorszki, P. Widener, и M. Wolf. ICDCS, стр. 1806-1817. IEEE, (2019)Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers.E. Suchyta, J. Choi, S. Ku, D. Pugmire, A. Gainaru, K. Huck, R. Kube, A. Scheinberg, F. Suter, C. Chang и 3 other автор(ы). CLUSTER, стр. 218-229. IEEE, (2022)

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