{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T13:53:13Z","timestamp":1770990793180,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T00:00:00Z","timestamp":1687824000000},"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":[[2023,6,27]]},"DOI":"10.1145\/3583678.3596893","type":"proceedings-article","created":{"date-parts":[[2023,6,26]],"date-time":"2023-06-26T20:21:36Z","timestamp":1687810896000},"page":"127-138","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Evaluating HPC Job Run Time Predictions Using Application Input Parameters"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8930-0752","authenticated-orcid":false,"given":"Kenneth","family":"Lamar","sequence":"first","affiliation":[{"name":"University of Central Florida, Orlando, Florida, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6490-6838","authenticated-orcid":false,"given":"Alexander","family":"Goponenko","sequence":"additional","affiliation":[{"name":"University of Central Florida, Orlando, Florida, United States of America"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9651-0299","authenticated-orcid":false,"given":"Omar","family":"Aaziz","sequence":"additional","affiliation":[{"name":"Sandia National Laboratories, Albuquerque, New Mexico, United States of America"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6180-2556","authenticated-orcid":false,"given":"Benjamin A","family":"Allan","sequence":"additional","affiliation":[{"name":"Sandia National Laboratories, Albuquerque, New Mexico, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8605-5795","authenticated-orcid":false,"given":"James M","family":"Brandt","sequence":"additional","affiliation":[{"name":"Sandia National Laboratories, Albuquerque, New Mexico, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0569-3403","authenticated-orcid":false,"given":"Damian","family":"Dechev","sequence":"additional","affiliation":[{"name":"University of Central Florida, Orlando, Florida, USA"}]}],"member":"320","published-online":{"date-parts":[[2023,6,27]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CLUSTER.2018.00070"},{"key":"e_1_3_2_1_2_1","unstructured":"Anthony Michael Agelastos Mahesh Rajan Nathan Wichmann Randy Baker Stefan P. Domino Erik W. Draeger Sarah Anderson Jacob Balma S. Behling Mike Berry Pierre Carrier Mike Davis Kim McMahon D. Sandness Kevin Thomas S. Warren and T. Zhu. 2017. Performance on Trinity Phase 2 (a Cray XC40 utilizing Intel Xeon Phi processors) with Acceptance Applications and Benchmarks. (5 2017). https:\/\/www.osti.gov\/biblio\/1457905  Anthony Michael Agelastos Mahesh Rajan Nathan Wichmann Randy Baker Stefan P. Domino Erik W. Draeger Sarah Anderson Jacob Balma S. Behling Mike Berry Pierre Carrier Mike Davis Kim McMahon D. Sandness Kevin Thomas S. Warren and T. Zhu. 2017. Performance on Trinity Phase 2 (a Cray XC40 utilizing Intel Xeon Phi processors) with Acceptance Applications and Benchmarks. (5 2017). https:\/\/www.osti.gov\/biblio\/1457905"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACSOS-C51401.2020.00021"},{"key":"e_1_3_2_1_4_1","unstructured":"Co design center for Particle Applications. 2017. ExaMiniMD. https:\/\/github.com\/ECP-copa\/ExaMiniMD.  Co design center for Particle Applications. 2017. ExaMiniMD. https:\/\/github.com\/ECP-copa\/ExaMiniMD."},{"key":"e_1_3_2_1_5_1","volume-title":"Evalix: Classification and Prediction of Job Resource Consumption on HPC Platforms. In Job Scheduling Strategies for Parallel Processing","author":"Emeras Joseph","year":"2017","unstructured":"Joseph Emeras , S\u00e9bastien Varrette , Mateusz Guzek , and Pascal Bouvry . 2017 . Evalix: Classification and Prediction of Job Resource Consumption on HPC Platforms. In Job Scheduling Strategies for Parallel Processing , Narayan Desai and Walfredo Cirne (Eds.). Springer International Publishing , Cham , 102--122. Joseph Emeras, S\u00e9bastien Varrette, Mateusz Guzek, and Pascal Bouvry. 2017. Evalix: Classification and Prediction of Job Resource Consumption on HPC Platforms. In Job Scheduling Strategies for Parallel Processing, Narayan Desai and Walfredo Cirne (Eds.). Springer International Publishing, Cham, 102--122."},{"key":"e_1_3_2_1_6_1","unstructured":"Paul Fischer and Katherine Heisey. 2014. NEKbone. https:\/\/github.com\/ECP-copa\/ExaMiniMD.  Paul Fischer and Katherine Heisey. 2014. NEKbone. https:\/\/github.com\/ECP-copa\/ExaMiniMD."},{"key":"e_1_3_2_1_7_1","volume-title":"International Workshop on Machine Learning, Optimization, and Big Data. Springer, 449--461","author":"Galleguillos Cristian","year":"2017","unstructured":"Cristian Galleguillos , Alina S\u00eerbu , Zeynep Kiziltan , Ozalp Babaoglu , Andrea Borghesi , and Thomas Bridi . 2017 . Data-driven job dispatching in HPC systems . In International Workshop on Machine Learning, Optimization, and Big Data. Springer, 449--461 . Cristian Galleguillos, Alina S\u00eerbu, Zeynep Kiziltan, Ozalp Babaoglu, Andrea Borghesi, and Thomas Bridi. 2017. Data-driven job dispatching in HPC systems. In International Workshop on Machine Learning, Optimization, and Big Data. Springer, 449--461."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2013.10.003"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/Cluster48925.2021.00093"},{"key":"e_1_3_2_1_10_1","unstructured":"Glenn K. Lockwood. 2012. HACC I\/O. https:\/\/github.com\/glennklockwood\/hacc-io\/.  Glenn K. Lockwood. 2012. HACC I\/O. https:\/\/github.com\/glennklockwood\/hacc-io\/."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCGRID.2010.98"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CLUSTER.2016.58"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3200921.3200937"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Gence Ozer Sarthak Garg Neda Davoudi Gabrielle Poerwawinata Matthias Maiterth Alessio Netti and Daniele Tafani. 2020. Towards a Predictive Energy Model for HPC Runtime Systems Using Supervised Learning. In Euro-Par 2019: Parallel Processing Workshops Ulrich Schwardmann Christian Boehme Dora B. Heras Valeria Cardellini Emmanuel Jeannot Antonio Salis Claudio Schifanella Ravi Reddy Manumachu Dieter Schwamborn Laura Ricci Oh Sangyoon Thomas Gruber Laura Antonelli and Stephen L. Scott (Eds.). Springer International Publishing Cham 626--638.  Gence Ozer Sarthak Garg Neda Davoudi Gabrielle Poerwawinata Matthias Maiterth Alessio Netti and Daniele Tafani. 2020. Towards a Predictive Energy Model for HPC Runtime Systems Using Supervised Learning. In Euro-Par 2019: Parallel Processing Workshops Ulrich Schwardmann Christian Boehme Dora B. Heras Valeria Cardellini Emmanuel Jeannot Antonio Salis Claudio Schifanella Ravi Reddy Manumachu Dieter Schwamborn Laura Ricci Oh Sangyoon Thomas Gruber Laura Antonelli and Stephen L. Scott (Eds.). Springer International Publishing Cham 626--638.","DOI":"10.1007\/978-3-030-48340-1_48"},{"key":"e_1_3_2_1_15_1","volume-title":"Scikit-learn: Machine learning in Python. the Journal of machine Learning research 12","author":"Pedregosa Fabian","year":"2011","unstructured":"Fabian Pedregosa , Ga\u00ebl Varoquaux , Alexandre Gramfort , Vincent Michel , Bertrand Thirion , Olivier Grisel , Mathieu Blondel , Peter Prettenhofer , Ron Weiss , Vincent Dubourg , 2011 . Scikit-learn: Machine learning in Python. the Journal of machine Learning research 12 (2011), 2825--2830. Fabian Pedregosa, Ga\u00ebl Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, et al. 2011. Scikit-learn: Machine learning in Python. the Journal of machine Learning research 12 (2011), 2825--2830."},{"key":"e_1_3_2_1_16_1","unstructured":"Adrian Pope. 2017. SWFFT. https:\/\/git.cels.anl.gov\/hacc\/SWFFT.  Adrian Pope. 2017. SWFFT. https:\/\/git.cels.anl.gov\/hacc\/SWFFT."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/277858.277873"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2004.06.008"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cpc.2021.108171"},{"key":"e_1_3_2_1_20_1","volume-title":"Thompson","author":"Trott Christian R.","year":"2014","unstructured":"Christian R. Trott , Simon D. Hammond , and Aidan P . Thompson . 2014 . SNAP : Strong Scaling High Fidelity Molecular Dynamics Simulations on Leadership-Class Computing Platforms. In Supercomputing, Julian Martin Kunkel, Thomas Ludwig, and Hans Werner Meuer (Eds.). Springer International Publishing , Cham, 19--34. Christian R. Trott, Simon D. Hammond, and Aidan P. Thompson. 2014. SNAP: Strong Scaling High Fidelity Molecular Dynamics Simulations on Leadership-Class Computing Platforms. In Supercomputing, Julian Martin Kunkel, Thomas Ludwig, and Hans Werner Meuer (Eds.). Springer International Publishing, Cham, 19--34."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCBDA.2019.8725643"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3225058.3225091"},{"key":"e_1_3_2_1_23_1","volume-title":"SLURM: Simple Linux Utility for Resource Management. In Job Scheduling Strategies for Parallel Processing","author":"Yoo Andy B.","year":"2003","unstructured":"Andy B. Yoo , Morris A. Jette , and Mark Grondona . 2003 . SLURM: Simple Linux Utility for Resource Management. In Job Scheduling Strategies for Parallel Processing , Dror Feitelson, Larry Rudolph, and Uwe Schwiegelshohn (Eds.). Springer Berlin Heidelberg, Berlin , Heidelberg , 44--60. Andy B. Yoo, Morris A. Jette, and Mark Grondona. 2003. SLURM: Simple Linux Utility for Resource Management. In Job Scheduling Strategies for Parallel Processing, Dror Feitelson, Larry Rudolph, and Uwe Schwiegelshohn (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 44--60."}],"event":{"name":"DEBS '23: 17th ACM International Conference on Distributed and Event-based Systems","location":"Neuchatel Switzerland","acronym":"DEBS '23","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGSOFT ACM Special Interest Group on Software Engineering"]},"container-title":["Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583678.3596893","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:55Z","timestamp":1750178275000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583678.3596893"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,27]]},"references-count":23,"alternative-id":["10.1145\/3583678.3596893","10.1145\/3583678"],"URL":"https:\/\/doi.org\/10.1145\/3583678.3596893","relation":{},"subject":[],"published":{"date-parts":[[2023,6,27]]},"assertion":[{"value":"2023-06-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}