{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T15:11:54Z","timestamp":1762096314055,"version":"build-2065373602"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,12]],"date-time":"2023-11-12T00:00:00Z","timestamp":1699747200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,12]]},"DOI":"10.1145\/3624062.3624136","type":"proceedings-article","created":{"date-parts":[[2023,11,10]],"date-time":"2023-11-10T13:53:39Z","timestamp":1699624419000},"page":"637-640","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Maximizing Data Utility for HPC Python Workflow Execution"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5382-938X","authenticated-orcid":false,"given":"Thanh Son","family":"Phung","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, University of Notre Dame, United States"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6397-7239","authenticated-orcid":false,"given":"Ben","family":"Clifford","sequence":"additional","affiliation":[{"name":"CQX Limited, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7370-4805","authenticated-orcid":false,"given":"Kyle","family":"Chard","sequence":"additional","affiliation":[{"name":"University of Chicago, United States of America"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5218-1956","authenticated-orcid":false,"given":"Douglas","family":"Thain","sequence":"additional","affiliation":[{"name":"University of Notre Dame, USA"}]}],"member":"320","published-online":{"date-parts":[[2023,11,12]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.3847\/1538-4365\/abd62c"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2443416.2443417"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3307681.3325400"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1051\/epjconf\/202024502030"},{"key":"e_1_3_2_2_5_1","volume-title":"Workshop on python for high performance and scientific computing at sc11","author":"Bui Peter","year":"2011","unstructured":"Peter Bui, Dinesh Rajan, Badi Abdul-Wahid, Jesus Izaguirre, and Douglas Thain. 2011. Work queue+ python: A framework for scalable scientific ensemble applications. In Workshop on python for high performance and scientific computing at sc11."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2014.10.008"},{"key":"e_1_3_2_2_7_1","volume-title":"Nextflow enables reproducible computational workflows. Nature biotechnology 35, 4","author":"Di\u00a0Tommaso Paolo","year":"2017","unstructured":"Paolo Di\u00a0Tommaso, Maria Chatzou, Evan\u00a0W Floden, Pablo\u00a0Prieto Barja, Emilio Palumbo, and Cedric Notredame. 2017. Nextflow enables reproducible computational workflows. Nature biotechnology 35, 4 (2017), 316\u2013319."},{"key":"e_1_3_2_2_8_1","volume-title":"Building a framework for predictive science. arXiv preprint arXiv:1202.1056","author":"McKerns M","year":"2012","unstructured":"Michael\u00a0M McKerns, Leif Strand, Tim Sullivan, Alta Fang, and Michael\u00a0AG Aivazis. 2012. Building a framework for predictive science. arXiv preprint arXiv:1202.1056 (2012)."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.25080\/Majora-7b98e3ed-013"},{"key":"e_1_3_2_2_10_1","volume-title":"TaskVine: Managing In Cluster Data for High Throughput Data Intensive Workflows. WORKS Workshop on Workflows in Support of Large Scale Science at Supercomputing","author":"Sly-Delgado Barry","year":"2023","unstructured":"Barry Sly-Delgado, Thanh\u00a0Son Phung, Colin Thomas, David Simonetti, Andrew Hennesse, Ben Tovar, and Douglas Thain. 2023. TaskVine: Managing In Cluster Data for High Throughput Data Intensive Workflows. WORKS Workshop on Workflows in Support of Large Scale Science at Supercomputing (2023)."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3492805.3492807"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CLUSTER.2018.00049"},{"key":"e_1_3_2_2_13_1","unstructured":"Brent Welch and Garth\u00a0A Gibson. 2004. Managing Scalability in Object Storage Systems for HPC Linux Clusters.. In MSST. Citeseer 433\u2013445."}],"event":{"name":"SC-W 2023: Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis","acronym":"SC-W 2023","location":"Denver CO USA"},"container-title":["Proceedings of the SC '23 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3624062.3624136","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3624062.3624136","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T03:01:40Z","timestamp":1755745300000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3624062.3624136"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,12]]},"references-count":13,"alternative-id":["10.1145\/3624062.3624136","10.1145\/3624062"],"URL":"https:\/\/doi.org\/10.1145\/3624062.3624136","relation":{},"subject":[],"published":{"date-parts":[[2023,11,12]]},"assertion":[{"value":"2023-11-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}