{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T23:17:02Z","timestamp":1780355822864,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":40,"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"}],"funder":[{"name":"U.S. Department of Energy Office of Science and the National Nuclear Security Administration.","award":["DE-AC02-05CH11231"],"award-info":[{"award-number":["DE-AC02-05CH11231"]}]},{"DOI":"10.13039\/501100006374","name":"U.S. Department of Energy","doi-asserted-by":"publisher","award":["DE-AC02-06CH11357"],"award-info":[{"award-number":["DE-AC02-06CH11357"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,12]]},"DOI":"10.1145\/3624062.3624207","type":"proceedings-article","created":{"date-parts":[[2023,11,10]],"date-time":"2023-11-10T13:53:39Z","timestamp":1699624419000},"page":"1380-1391","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Enabling Agile Analysis of I\/O Performance Data with PyDarshan"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3672-206X","authenticated-orcid":false,"given":"Jakob","family":"Luettgau","sequence":"first","affiliation":[{"name":"Inria, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5973-4195","authenticated-orcid":false,"given":"Shane","family":"Snyder","sequence":"additional","affiliation":[{"name":"Argonne National Laboratory, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2364-6157","authenticated-orcid":false,"given":"Tyler","family":"Reddy","sequence":"additional","affiliation":[{"name":"Los Alamos National Laboratory, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0395-6284","authenticated-orcid":false,"given":"Nikolaus","family":"Awtrey","sequence":"additional","affiliation":[{"name":"Los Alamos National Laboratory, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3019-7532","authenticated-orcid":false,"given":"Kevin","family":"Harms","sequence":"additional","affiliation":[{"name":"Argonne National Laboratory, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3915-1135","authenticated-orcid":false,"given":"Jean Luca","family":"Bez","sequence":"additional","affiliation":[{"name":"Lawrence Berkeley National Laboratory, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8530-6487","authenticated-orcid":false,"given":"Rui","family":"Wang","sequence":"additional","affiliation":[{"name":"Argonne National Laboratory, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5285-6375","authenticated-orcid":false,"given":"Rob","family":"Latham","sequence":"additional","affiliation":[{"name":"Argonne National Laboratory, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3963-9923","authenticated-orcid":false,"given":"Philip","family":"Carns","sequence":"additional","affiliation":[{"name":"Argonne National Laboratory, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,11,12]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"2021. The ATLAS Collaboration Software and Firmware. Technical Report ATL-SOFT-PUB-2021-001. CERN Geneva. ATL-SOFT-PUB-2021-001 ATL-SOFT-PUB-2021-001"},{"key":"e_1_3_2_2_2_1","unstructured":"2023. BPF Compiler Collection (BCC). IO Visor Project. https:\/\/github.com\/iovisor\/bcc"},{"key":"e_1_3_2_2_3_1","unstructured":"2023. cuDF - GPU DataFrames. RAPIDS. https:\/\/github.com\/rapidsai\/cudf"},{"key":"e_1_3_2_2_4_1","unstructured":"2023. Grafana: The Open and Composable Observability and Data Visualization Platform. Grafana Labs. https:\/\/github.com\/grafana\/grafana"},{"key":"e_1_3_2_2_5_1","unstructured":"2023. LLNL\/Adiak. Lawrence Livermore National Laboratory. https:\/\/github.com\/LLNL\/Adiak"},{"key":"e_1_3_2_2_6_1","unstructured":"2023. Pola-Rs\/Polars. pola-rs. https:\/\/github.com\/pola-rs\/polars"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.5555\/1753228.1753233"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-32041-5_2"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1088\/1748-0221\/3\/08\/S08003"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/PDSW56643.2022.00006"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/PDSW54622.2021.00008"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/WORKS.2008.4723958"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3295500.3356219"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/SC.2016.46"},{"key":"e_1_3_2_2_15_1","volume-title":"Thicket: Seeing the Performance Experiment Forest for the Individual Run Trees.","author":"Brink Stephanie","year":"2023","unstructured":"Stephanie Brink, Michael McKinsey, David Boehme, Connor Scully-Allison, Ian Lumsden, Daryl Hawkins, Treece Burgess, Katherine\u00a0E Isaacs, Vanessa Lama, Michela Taufer, Jakob Luettgau, and Olga Pearce. 2023. Thicket: Seeing the Performance Experiment Forest for the Individual Run Trees. (2023)."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","unstructured":"Rene Brun Fons Rademakers Philippe Canal Axel Naumann Olivier Couet Lorenzo Moneta Vassil Vassilev Sergey Linev Danilo Piparo Gerardo GANIS Bertrand Bellenot Enrico Guiraud Guilherme Amadio wverkerke Pere Mato TimurP Matev\u017e Tadel wlav Enric Tejedor Jakob Blomer Andrei Gheata Stephan Hageboeck Stefan Roiser marsupial Stefan Wunsch Oksana Shadura Anirudha Bose CristinaCristescu Xavier Valls and Raphael Isemann. 2019. Root-Project\/Root: V6.18\/02. Zenodo. https:\/\/doi.org\/10.5281\/zenodo.3895860","DOI":"10.5281\/zenodo.3895860"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/664\/7\/072050"},{"key":"e_1_3_2_2_18_1","volume-title":"Understanding and Improving Computational Science Storage Access through Continuous Characterization. ACM Transactions on Storage","author":"Carns Philip","year":"2011","unstructured":"Philip Carns, Kevin Harms, William Allcock, and Charles Bacon. 2011. Understanding and Improving Computational Science Storage Access through Continuous Characterization. ACM Transactions on Storage (2011), 25."},{"key":"e_1_3_2_2_19_1","volume-title":"Dask: Library for Dynamic Task Scheduling. https:\/\/dask.org","author":"Team Dask Development","year":"2016","unstructured":"Dask Development Team. 2016. Dask: Library for Dynamic Task Scheduling. https:\/\/dask.org"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","unstructured":"DOE E3SM\u00a0Project. 2021. Energy Exascale Earth System Model v2.0. [Computer Software] https:\/\/doi.org\/10.11578\/E3SM\/dc.20210927.1. https:\/\/doi.org\/10.11578\/E3SM\/dc.20210927.1","DOI":"10.11578\/E3SM\/dc.20210927.1"},{"key":"e_1_3_2_2_21_1","unstructured":"eBPF authors. 2023. eBPF Website - Dynamically Program the Kernel for Efficient Networking Observability Tracing and Security. https:\/\/ebpf.io"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.02.026"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-020-2649-2"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"crossref","unstructured":"S. Hoyer and J. Hamman. 2016. xarray: N-D labeled arrays and datasets in Python. in prep J. Open Res. Software (2016).","DOI":"10.5334\/jors.148"},{"key":"e_1_3_2_2_25_1","volume-title":"Jaeger: Open Source, End-to-End Distributed Tracing. https:\/\/www.jaegertracing.io\/","year":"2019","unstructured":"jaegertracing.io. 2019. Jaeger: Open Source, End-to-End Distributed Tracing. https:\/\/www.jaegertracing.io\/"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-31476-6_7"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.25080\/Majora-7b98e3ed-013"},{"key":"e_1_3_2_2_28_1","volume-title":"HPCToolkit: Multi-platform Tools for Profile-Based Performance Analysis. In 5th International Workshop on Automatic Performance Analysis (APART).","author":"Mellor-Crummey John","year":"2003","unstructured":"John Mellor-Crummey. 2003. HPCToolkit: Multi-platform Tools for Profile-Based Performance Analysis. In 5th International Workshop on Automatic Performance Analysis (APART)."},{"key":"e_1_3_2_2_29_1","unstructured":"OpenTelemetry. 2019. OpenTelemetry: High-quality Ubiquitous and Portable Telemetry to Enable Effective Observability. https:\/\/opentelemetry.io\/"},{"key":"e_1_3_2_2_30_1","unstructured":"OpenZipkin. 2015. OpenZipkin: A Distributed Tracing System. https:\/\/zipkin.io\/"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","unstructured":"The pandas\u00a0development team. 2020. Pandas-Dev\/Pandas: Pandas. Zenodo. https:\/\/doi.org\/10.5281\/zenodo.3509134","DOI":"10.5281\/zenodo.3509134"},{"key":"e_1_3_2_2_32_1","unstructured":"Parquet Contributers. 2023. Apache Parquet Documentation. https:\/\/parquet.apache.org\/docs\/"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1177\/1094342006064482"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3090322"},{"key":"e_1_3_2_2_35_1","unstructured":"Rajeev Thakur and Alok Choudhary. 1995. Accessing Sections of Out-of-Core Arrays Using an Extended Two-Phase Method. Technical Report SCCS-685. NPAC Syracuse University."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPSW50202.2020.00176"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.25080\/Majora-92bf1922-00a"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2934285"},{"key":"e_1_3_2_2_39_1","volume-title":"DXT: Darshan eXtended Tracing.","author":"Xu Cong","year":"2017","unstructured":"Cong Xu, Shane Snyder, Omkar Kulkarni, Vishwanath Venkatesan, Philip Carns, Suren Byna, Robert Sisneros, and Kalyana Chadalavada. 2017. DXT: Darshan eXtended Tracing. (2017)."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1177\/10943420211022811"}],"event":{"name":"SC-W 2023: Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis","location":"Denver CO USA","acronym":"SC-W 2023"},"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\/3624062.3624207","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3624062.3624207","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T03:05:34Z","timestamp":1755745534000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3624062.3624207"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,12]]},"references-count":40,"alternative-id":["10.1145\/3624062.3624207","10.1145\/3624062"],"URL":"https:\/\/doi.org\/10.1145\/3624062.3624207","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"}}]}}