{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T07:25:32Z","timestamp":1768029932140,"version":"3.49.0"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319920399","type":"print"},{"value":"9783319920405","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-92040-5_5","type":"book-chapter","created":{"date-parts":[[2018,5,28]],"date-time":"2018-05-28T07:55:05Z","timestamp":1527494105000},"page":"81-99","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Classifying Jobs and Predicting Applications in HPC Systems"],"prefix":"10.1007","author":[{"given":"Keiji","family":"Yamamoto","sequence":"first","affiliation":[]},{"given":"Yuichi","family":"Tsujita","sequence":"additional","affiliation":[]},{"given":"Atsuya","family":"Uno","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,5,29]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","unstructured":"Agrawal, K., Fahey, M.R., McLay, R., James, D.: User environment tracking and problem detection with XALT. In: Proceedings of the First International Workshop on HPC User Support Tools, HUST 2014, pp. 32\u201340 (2014)","DOI":"10.1109\/HUST.2014.6"},{"issue":"7","key":"5_CR2","doi-asserted-by":"publisher","first-page":"3201","DOI":"10.1021\/ct400203a","volume":"9","author":"Y Andoh","year":"2013","unstructured":"Andoh, Y., Yoshii, N., Fujimoto, K., Mizutani, K., Kojima, H., Yamada, A., Okazaki, S., Kawaguchi, K., Nagao, H., Iwahashi, K., Mizutani, F., Minami, K., Ichikawa, S., Komatsu, H., Ishizuki, S., Takeda, Y., Fukushima, M.: MODYLAS: a highly parallelized general-purpose molecular dynamics simulation program for large-scale systems with long-range forces calculated by fast multipole method (FMM) and highly scalable fine-grained new parallel processing algorithms. J. Chem. Theory Comput. 9(7), 3201\u20133209 (2013)","journal-title":"J. Chem. Theory Comput."},{"key":"5_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1007\/978-3-319-41321-1_10","volume-title":"High Performance Computing","author":"A Borghesi","year":"2016","unstructured":"Borghesi, A., Bartolini, A., Lombardi, M., Milano, M., Benini, L.: Predictive modeling for job power consumption in HPC systems. In: Kunkel, J.M., Balaji, P., Dongarra, J. (eds.) ISC High Performance 2016. LNCS, vol. 9697, pp. 181\u2013199. Springer, Cham (2016). \nhttps:\/\/doi.org\/10.1007\/978-3-319-41321-1_10"},{"key":"5_CR4","doi-asserted-by":"crossref","unstructured":"Budiardja, R.D., Agrawal, K., Fahey, M., McLay, R., James, D.: Library function tracking with XALT. In: Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale, XSEDE 2016, pp. 30:1\u201330:7 (2016)","DOI":"10.1145\/2949550.2949558"},{"key":"5_CR5","doi-asserted-by":"crossref","unstructured":"Chen, X., Lu, C.D., Pattabiraman, K.: Predicting job completion times using system logs in supercomputing clusters. In: 2013 43rd Annual IEEE\/IFIP Conference on Dependable Systems and Networks Workshop (DSN-W), pp. 1\u20138, June 2013","DOI":"10.1109\/DSNW.2013.6615513"},{"key":"5_CR6","unstructured":"Dongarra, J.: TOP500 Supercomputer Sites: Lists, November 2017. \nhttps:\/\/www.top500.org\/lists\/2017\/11\/"},{"issue":"1","key":"5_CR7","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1093\/nsr\/nwv084","volume":"3","author":"J Dongarra","year":"2016","unstructured":"Dongarra, J., Heroux, M.A., Luszczek, P.: A new metric for ranking high-performance computing systems. Natl. Sci. Rev. 3(1), 30\u201335 (2016)","journal-title":"Natl. Sci. Rev."},{"key":"5_CR8","doi-asserted-by":"crossref","unstructured":"Gaussier, E., Glesser, D., Reis, V., Trystram, D.: Improving backfilling by using machine learning to predict running times. In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2015, pp. 64:1\u201364:10 (2015)","DOI":"10.1145\/2807591.2807646"},{"key":"5_CR9","doi-asserted-by":"publisher","first-page":"1834","DOI":"10.1016\/j.procs.2013.05.352","volume":"18","author":"Bilel Hadri","year":"2013","unstructured":"Hadri, B., Fahey, M.: Mining software usage with the automatic library tracking database (ALTD). Procedia Comput. Sci. 18(Supplement C), 1834\u20131843 (2013). International Conference on Computational Science","journal-title":"Procedia Computer Science"},{"issue":"1","key":"5_CR10","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1002\/wcms.1159","volume":"4","author":"J Hutter","year":"2014","unstructured":"Hutter, J., Iannuzzi, M., Schiffmann, F., VandeVondele, J.: CP2K: atomistic simulations of condensed matter systems. Wiley Interdisc. Rev. Comput. Mol. Sci. 4(1), 15\u201325 (2014)","journal-title":"Wiley Interdisc. Rev. Comput. Mol. Sci."},{"key":"5_CR11","doi-asserted-by":"publisher","first-page":"558","DOI":"10.1103\/PhysRevB.47.558","volume":"47","author":"G Kresse","year":"1993","unstructured":"Kresse, G., Hafner, J.: Ab initio molecular dynamics for liquid metals. Phys. Rev. B 47, 558\u2013561 (1993)","journal-title":"Phys. Rev. B"},{"key":"5_CR12","unstructured":"Le, Q., Mikolov, T.: Distributed representations of sentences and documents. In: Proceedings of the 31st International Conference on International Conference on Machine Learning, ICML 2014, vol. 32, pp. II-1188\u2013II-1196 (2014)"},{"key":"5_CR13","doi-asserted-by":"crossref","unstructured":"Lu, C.D.: Automatically mining program build information via signature matching. In: Proceedings of the 11th ACM SIGPLAN-SIGSOFT Workshop on Program Analysis for Software Tools and Engineering, PASTE 2013, pp. 25\u201332 (2013)","DOI":"10.1145\/2462029.2462036"},{"key":"5_CR14","doi-asserted-by":"crossref","unstructured":"McKenna, R., Herbein, S., Moody, A., Gamblin, T., Taufer, M.: Machine learning predictions of runtime and IO traffic on high-end clusters. In: 2016 IEEE International Conference on Cluster Computing, pp. 255\u2013258 (2016)","DOI":"10.1109\/CLUSTER.2016.58"},{"key":"5_CR15","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., Duchesnay, E.: Scikit-learn: machine learning in python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"5_CR16","unstructured":"\u0158eh\u016f\u0159ek, R., Sojka, P.: Software framework for topic modelling with large corpora. In: Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks, pp. 45\u201350, May 2010"},{"issue":"2","key":"5_CR17","first-page":"20","volume":"1","author":"H Shoukourian","year":"2014","unstructured":"Shoukourian, H., Wilde, T., Auweter, A., Bode, A.: Predicting the energy and power consumption of strong and weak scaling HPC applications. Supercomput. Front. Innov. 1(2), 20\u201341 (2014)","journal-title":"Supercomput. Front. Innov."},{"key":"5_CR18","doi-asserted-by":"crossref","unstructured":"Staples, G.: Torque resource manager. In: Proceedings of the 2006 ACM\/IEEE Conference on Supercomputing, SC 2006 (2006)","DOI":"10.1145\/1188455.1188464"},{"key":"5_CR19","unstructured":"Storlie, C., Sexton, J., Pakin, S., Lang, M., Reich, B., Rust, W.: Modeling and Predicting Power Consumption of High Performance Computing Jobs. ArXiv e-prints, December 2014"},{"key":"5_CR20","unstructured":"Tam, A.M.: Enabling process accounting on Linux HOWTO. \nhttp:\/\/www.tldp.org\/HOWTO\/text\/Process-Accounting"},{"key":"5_CR21","doi-asserted-by":"publisher","first-page":"576","DOI":"10.1016\/j.procs.2014.05.052","volume":"29","author":"Keiji Yamamoto","year":"2014","unstructured":"Yamamoto, K., Uno, A., Murai, H., Tsukamoto, T., Shoji, F., Matsui, S., Sekizawa, R., Sueyasu, F., Uchiyama, H., Okamoto, M., Ohgushi, N., Takashina, K., Wakabayashi, D., Taguchi, Y., Yokokawa, M.: The k computer operations: experiences and statistics. Procedia Comput. Sci. 29, 576\u2013585. International Conference on Computational Science (2014)","journal-title":"Procedia Computer Science"},{"key":"5_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1007\/10968987_3","volume-title":"Job Scheduling Strategies for Parallel Processing","author":"AB Yoo","year":"2003","unstructured":"Yoo, A.B., Jette, M.A., Grondona, M.: SLURM: simple linux utility for resource management. In: Feitelson, D., Rudolph, L., Schwiegelshohn, U. (eds.) JSSPP 2003. LNCS, vol. 2862, pp. 44\u201360. Springer, Heidelberg (2003). \nhttps:\/\/doi.org\/10.1007\/10968987_3"}],"container-title":["Lecture Notes in Computer Science","High Performance Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-92040-5_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,5,28]],"date-time":"2018-05-28T07:56:26Z","timestamp":1527494186000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-92040-5_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319920399","9783319920405"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-92040-5_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}