{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T19:27:20Z","timestamp":1777058840436,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,6,17]]},"DOI":"10.1145\/3679240.3735103","type":"proceedings-article","created":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T13:15:31Z","timestamp":1750079731000},"page":"898-906","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Evaluating the Energy Efficiency of Toubkal HPC: Insights for the Green500 Rankings and Its Metric"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6740-1085","authenticated-orcid":false,"given":"Imad","family":"Kissami","sequence":"first","affiliation":[{"name":"College of Computing, Mohammed VI Polytechnic University, Benguerir, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2951-4243","authenticated-orcid":false,"given":"Robert","family":"Basmadjian","sequence":"additional","affiliation":[{"name":"College of Computing, Mohammed VI Polytechnic University, Benguerir, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5755-4205","authenticated-orcid":false,"given":"Ayman","family":"Zahir","sequence":"additional","affiliation":[{"name":"College of Computing, Mohammed VI Polytechnic University, Benguerir, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,6,16]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"crossref","unstructured":"James Ahrens Berk Geveci Charles Law C Hansen C Johnson et\u00a0al. 2005. 36-paraview: An end-user tool for large-data visualization. The visualization handbook 717 (2005) 50038\u20131.","DOI":"10.1016\/B978-012387582-2\/50038-1"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.5555\/323215"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.5555\/266469.266486"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"publisher","unstructured":"Vadim Borisov Tobias Leemann Kathrin Se\u00dfler Johannes Haug Martin Pawelczyk and Gjergji Kasneci. 2024. Deep Neural Networks and Tabular Data: A Survey. IEEE Transactions on Neural Networks and Learning Systems 35 6 (2024) 7499\u20137519. 10.1109\/TNNLS.2022.3229161","DOI":"10.1109\/TNNLS.2022.3229161"},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"crossref","unstructured":"Leo Breiman. 2001. Random forests. Machine learning 45 (2001) 5\u201332.","DOI":"10.1023\/A:1010933404324"},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"e_1_3_3_2_8_2","unstructured":"Apptainer Contributors. 2022. Apptainer. https:\/\/apptainer.org"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"publisher","unstructured":"Jack Dongarra Thomas Sterling Horst Simon and Erich Strohmaier. 2015. The TOP500 List and Progress in High-Performance Computing. (2015). 10.1109\/MC.2022.3219234","DOI":"10.1109\/MC.2022.3219234"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"publisher","unstructured":"Jack\u00a0J. Dongarra Jeremy Du\u00a0Croz Sven Hammarling and Richard\u00a0J. Hanson. 1988. An extended set of FORTRAN basic linear algebra subprograms. ACM Trans. Math. Softw. 14 1 (March 1988) 1\u201317. 10.1145\/42288.42291","DOI":"10.1145\/42288.42291"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"crossref","unstructured":"Matteo Frigo and Steven\u00a0G Johnson. 2005. The design and implementation of FFTW3. Proc. IEEE 93 2 (2005) 216\u2013231.","DOI":"10.1109\/JPROC.2004.840301"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"crossref","unstructured":"R Ge X Feng H Pyla K Cameron and W Feng. 2007. Power measurement tutorial for the Green500 list. The Green500 List: Environmentally Responsible Supercomputing (2007).","DOI":"10.1109\/MC.2007.445"},{"key":"e_1_3_3_2_13_2","unstructured":"Ga\u00ebl Guennebaud Beno\u00eet Jacob Philip Avery Abraham Bachrach Sebastien Barthelemy et\u00a0al. 2010. Eigen v3."},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"crossref","unstructured":"Meiye Jiang Congfan Bu Jingyao Zeng Zhenglin Du and Jingfa Xiao. 2021. Applications and challenges of high performance computing in genomics. CCF Transactions on High Performance Computing 3 4 (2021) 344\u2013352.","DOI":"10.1007\/s42514-021-00081-w"},{"key":"e_1_3_3_2_15_2","unstructured":"Guolin Ke Qi Meng Thomas Finley Taifeng Wang Wei Chen Weidong Ma Qiwei Ye and Tie-Yan Liu. 2017. Lightgbm: A highly efficient gradient boosting decision tree. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_3_2_16_2","unstructured":"Imad Kissami. 2025. Mumps4py: Python interface for the MUMPS solver. (2025)."},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"crossref","unstructured":"Prasad Kulkarni Sendhilkumar Manoharan and Alok Gaddi. 2024. Advancing Climate Modeling through High-Performance Computing: Towards More Accurate and Efficient Simulations. EAI Endorsed Transactions on the Energy Web 11 1 (2024).","DOI":"10.4108\/ew.7049"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"crossref","unstructured":"Gregory\u00a0M Kurtzer Vanessa Sochat and Michael\u00a0W Bauer. 2017. Singularity: Scientific containers for mobility of compute. PloS one 12 5 (2017) e0177459.","DOI":"10.1371\/journal.pone.0177459"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"crossref","unstructured":"Chuck\u00a0L Lawson Richard\u00a0J. Hanson David\u00a0R Kincaid and Fred\u00a0T. Krogh. 1979. Basic linear algebra subprograms for Fortran usage. ACM Transactions on Mathematical Software (TOMS) 5 3 (1979) 308\u2013323.","DOI":"10.1145\/355841.355847"},{"key":"e_1_3_3_2_20_2","unstructured":"Time Magazine. 2024. Exclusive: New Research Finds Stark Global Divide in Ownership of Powerful AI Chips. Time (2024). https:\/\/time.com\/7015330\/ai-chips-us-china-ownership-research\/"},{"key":"e_1_3_3_2_21_2","unstructured":"MosaicML. 2023. Benchmarking Large Language Models on NVIDIA H100 GPUs with CoreWeave (Part 1). https:\/\/www.databricks.com\/blog\/coreweave-nvidia-h100-part-1. Accessed: 2025-03-30."},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"crossref","unstructured":"Jeffrey\u00a0T Palmer Steven\u00a0M Gallo Thomas\u00a0R Furlani Matthew\u00a0D Jones Robert\u00a0L DeLeon Joseph\u00a0P White Nikolay Simakov Abani\u00a0K Patra Jeanette Sperhac Thomas Yearke et\u00a0al. 2015. Open XDMoD: A tool for the comprehensive management of high-performance computing resources. Computing in Science & Engineering 17 4 (2015) 52\u201362.","DOI":"10.1109\/MCSE.2015.68"},{"key":"e_1_3_3_2_23_2","series-title":"(NIPS\u201918)","first-page":"6639","volume-title":"Proceedings of the 32nd International Conference on Neural Information Processing Systems","author":"Prokhorenkova Liudmila","year":"2018","unstructured":"Liudmila Prokhorenkova, Gleb Gusev, Aleksandr Vorobev, Anna\u00a0Veronika Dorogush, and Andrey Gulin. 2018. CatBoost: unbiased boosting with categorical features. In Proceedings of the 32nd International Conference on Neural Information Processing Systems (Montr\u00e9al, Canada) (NIPS\u201918). Curran Associates Inc., Red Hook, NY, USA, 6639\u20136649."},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"crossref","unstructured":"Edward\u00a0O Pyzer-Knapp Jed\u00a0W Pitera Peter\u00a0WJ Staar Seiji Takeda Teodoro Laino Daniel\u00a0P Sanders James Sexton John\u00a0R Smith and Alessandro Curioni. 2022. Accelerating materials discovery using artificial intelligence high performance computing and robotics. npj Computational Materials 8 1 (2022) 84.","DOI":"10.1038\/s41524-022-00765-z"},{"key":"e_1_3_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1145\/3538637.3539655"},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"crossref","unstructured":"Alexander Rumyantsev Robert Basmadjian Sergey Astafiev and Alexander Golovin. 2023. Three-level modeling of a speed-scaling supercomputer. Annals of Operations Research 331 2 (2023) 649\u2013677.","DOI":"10.1007\/s10479-022-04830-0"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1145\/3447555.3466580"},{"key":"e_1_3_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1109\/IGCC.2013.6604520"},{"key":"e_1_3_3_2_29_2","unstructured":"TOP500.org. 2024. The Green500 List. https:\/\/www.top500.org\/green500\/"},{"key":"e_1_3_3_2_30_2","unstructured":"TOP500.org. 2024. The Green500 List. https:\/\/top500.org\/lists\/green500\/list\/2024\/11\/?page=2"},{"key":"e_1_3_3_2_31_2","unstructured":"TOP500.org. 2024. Performance Development. https:\/\/www.top500.org\/statistics\/perfdevel\/"},{"key":"e_1_3_3_2_32_2","unstructured":"TOP500.org. 2024. The Top500 List. https:\/\/top500.org\/lists\/top500\/list\/2024\/11\/?page=4"},{"key":"e_1_3_3_2_33_2","unstructured":"TOP500.org. 2024. The Top500 List. https:\/\/top500.org\/lists\/green500\/list\/2024\/06\/?page=4"},{"key":"e_1_3_3_2_34_2","doi-asserted-by":"crossref","unstructured":"Alex Upton Oswaldo Trelles Jos\u00e9\u00a0Antonio Cornejo-Garc\u00eda and James\u00a0Richard Perkins. 2016. High-performance computing to detect epistasis in genome scale data sets. Briefings in bioinformatics 17 3 (2016) 368\u2013379.","DOI":"10.1093\/bib\/bbv058"},{"key":"e_1_3_3_2_35_2","doi-asserted-by":"publisher","unstructured":"Wei Wang Wei Zhang and Ming Li. 2022. CloudRT: A Chinese Example of Open Science Infrastructure and High-Performance Computing. Big Data Research 29 (2022) 100278. 10.1177\/20966083221084142","DOI":"10.1177\/20966083221084142"},{"key":"e_1_3_3_2_36_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICPADS.2012.97"},{"key":"e_1_3_3_2_37_2","doi-asserted-by":"publisher","DOI":"10.1007\/10968987_3"}],"event":{"name":"E-Energy '25: The 16th ACM International Conference on Future and Sustainable Energy Systems","location":"Rotterdam Netherlands","acronym":"E-Energy '25","sponsor":["SIGEnergy ACM Special Interest Group on Energy Systems and Informatics"]},"container-title":["Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3679240.3735103","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T13:57:11Z","timestamp":1750082231000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3679240.3735103"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,16]]},"references-count":36,"alternative-id":["10.1145\/3679240.3735103","10.1145\/3679240"],"URL":"https:\/\/doi.org\/10.1145\/3679240.3735103","relation":{},"subject":[],"published":{"date-parts":[[2025,6,16]]},"assertion":[{"value":"2025-06-16","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}