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Scaling Data Intensive Physics Applications to 10k Cores on Non-dedicated Clusters with Lobster.

, , , , , , , , , , , and . CLUSTER, page 322-331. IEEE Computer Society, (2015)

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PONCHO: Dynamic Package Synthesis for Distributed and Serverless Python Applications., , , , , and . HiPS@HPDC, page 8-14. ACM, (2022)TaskVine: Managing In-Cluster Storage for High-Throughput Data Intensive Workflows., , , , , , and . SC Workshops, page 1978-1988. ACM, (2023)Deploying High Throughput Scientific Workflows on Container Schedulers with Makeflow and Mesos., , and . CCGrid, page 130-139. IEEE Computer Society / ACM, (2017)Lightweight Function Monitors for Fine-Grained Management in Large Scale Python Applications., , , , , , , , and . IPDPS, page 786-796. IEEE, (2021)Scaling Data Intensive Physics Applications to 10k Cores on Non-dedicated Clusters with Lobster., , , , , , , , , and 2 other author(s). CLUSTER, page 322-331. IEEE Computer Society, (2015)VC3: A Virtual Cluster Service for Community Computation., , , , , , , , and . PEARC, page 30:1-30:8. ACM, (2018)Opportunistic High Energy Physics Computing in User Space with Parrot., , , , , , , , , and . CCGRID, page 170-175. IEEE Computer Society, (2014)Dynamic Task Shaping for High Throughput Data Analysis Applications in High Energy Physics., , , , , and . IPDPS, page 346-356. IEEE, (2022)Mixed Modality Workflows in TaskVine., , and . HPDC, page 331-332. ACM, (2023)