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Performance analysis, design considerations, and applications of extreme-scale in situ infrastructures.

, , , , , , , , , , , , , , , , , , , , и . SC, стр. 921-932. IEEE Computer Society, (2016)

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Matthew Mellon

Matthew David

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Olumuyiwa Matthew

Peter Matthew

 

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Feature-preserving Lossy Compression for In Situ Data Analysis., , , , , , и . ICPP Workshops, стр. 10:1-10:9. ACM, (2020)The SENSEI Generic In Situ Interface., , , , , , и . ISAV@SC, стр. 40-44. IEEE Computer Society, (2016)Scalable Performance Awareness for In Situ Scientific Applications., , , , , , , , , и 1 other автор(ы). eScience, стр. 266-276. IEEE, (2019)Exploiting Latent I/O Asynchrony in Petascale Science Applications., , , , , , и . eScience, стр. 410-411. IEEE Computer Society, (2008)Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources., , , , , , , и . Int. J. High Perform. Comput. Appl., (2020)Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development., , , , , , , , , и 48 other автор(ы). CoRR, (2021)DYFLOW: A flexible framework for orchestrating scientific workflows on supercomputers., , , , и . ICPP Workshops, стр. 31:1-31:11. ACM, (2021)Creating a Tools Ecosystem for Cross-Discipline Environmental Data Reuse., , , , , , , и . IEEE BigData, стр. 3705-3708. IEEE, (2021)Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales., , , , , , , , , и 20 other автор(ы). Euro-Par, том 10417 из Lecture Notes in Computer Science, стр. 3-19. Springer, (2017)A Vision for Managing Extreme-Scale Data Hoards., , , , , , , и . ICDCS, стр. 1806-1817. IEEE, (2019)