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Scheduling In-Situ Analytics in Next-Generation Applications.

, , , , and . CCGrid, page 102-105. IEEE Computer Society, (2016)

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Fast and Precise: Parallel Processing of Vehicle Traffic Videos Using Big Data Analytics., , and . IEEE Trans. Intell. Transp. Syst., 23 (8): 12064-12073 (2022)Corrections to "Fast and Precise: Parallel Processing of Vehicle Traffic Videos Using Big Data Analytics"., , and . IEEE Trans. Intell. Transp. Syst., 23 (8): 13911 (2022)How I Learned to Stop Worrying and Love In Situ Analytics: Leveraging Latent Synchronization in MPI Collective Algorithms., , , , and . EuroMPI, page 140-153. ACM, (2016)An evaluation of the state of time synchronization on leadership class supercomputers., , , , and . Concurr. Comput. Pract. Exp., (2018)Understanding performance interference in next-generation HPC systems., , , , and . SC, page 384-395. IEEE Computer Society, (2016)Divide and Conquer: an Accurate Machine Learning Algorithm to Process Split Videos on a Parallel Processing Infrastructure., , , and . CoRR, (2019)Computational and Communication Infrastructure Challenges for Resilient Cloud Services., , , and . Comput., 11 (8): 118 (2022)Heterogeneity-Aware Data Placement in Hybrid Clouds., , and . CLOUD, volume 11513 of Lecture Notes in Computer Science, page 177-191. Springer, (2019)Scheduling In-Situ Analytics in Next-Generation Applications., , , , and . CCGrid, page 102-105. IEEE Computer Society, (2016)Quantifying Scheduling Challenges for Exascale System Software., , and . ROSS@HPDC, page 8:1-8:8. ACM, (2015)