{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T02:51:11Z","timestamp":1725936671677},"publisher-location":"Cham","reference-count":34,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319729701"},{"type":"electronic","value":"9783319729718"}],"license":[{"start":{"date-parts":[[2017,12,23]],"date-time":"2017-12-23T00:00:00Z","timestamp":1513987200000},"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\/978-3-319-72971-8_3","type":"book-chapter","created":{"date-parts":[[2017,12,22]],"date-time":"2017-12-22T08:44:54Z","timestamp":1513932294000},"page":"44-66","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Periodic I\/O Scheduling for Super-Computers"],"prefix":"10.1007","author":[{"given":"Guillaume","family":"Aupy","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ana","family":"Gainaru","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Valentin Le","family":"F\u00e8vre","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,12,23]]},"reference":[{"key":"3_CR1","doi-asserted-by":"crossref","unstructured":"Aupy, G., Gainaru, A., Le F\u00e8vre, V.: Periodic I\/O scheduling for super-computers. Research report 9037, Inria Bordeaux Sud-Ouest (2017)","DOI":"10.1007\/978-3-319-72971-8_3"},{"key":"3_CR2","doi-asserted-by":"crossref","unstructured":"Baruah, S.K., Gehrke, J.E., Plaxton, C.G.: Fast scheduling of periodic tasks on multiple resources. In: Proceedings of the 9th International Parallel Processing Symposium, pp. 280\u2013288. IEEE (1995)","DOI":"10.1109\/IPPS.1995.395946"},{"key":"3_CR3","doi-asserted-by":"crossref","unstructured":"Behzad, B., et al.: Taming parallel I\/O complexity with auto-tuning. In: Proceedings of SC 2013 (2013)","DOI":"10.1145\/2503210.2503278"},{"key":"3_CR4","doi-asserted-by":"crossref","unstructured":"Biswas, R., Aftosmis, M., Kiris, C., Shen, B.-W.: Petascale computing: impact on future NASA missions. In: Petascale Computing: Architectures and Algorithms, pp. 29\u201346 (2007)","DOI":"10.1201\/9781584889106.ch2"},{"issue":"12","key":"3_CR5","doi-asserted-by":"crossref","first-page":"2917","DOI":"10.1175\/1520-0493(2002)130<2917:ABSFMN>2.0.CO;2","volume":"130","author":"GH Bryan","year":"2002","unstructured":"Bryan, G.H., Fritsch, J.M.: A benchmark simulation for moist nonhydrostatic numerical models. Mon. Weather Rev. 130(12), 2917\u20132928 (2002)","journal-title":"Mon. Weather Rev."},{"key":"3_CR6","unstructured":"Bryan, G.L., et al.: Enzo: an adaptive mesh refinement code for astrophysics. arXiv:1307.2265 (2013)"},{"key":"3_CR7","doi-asserted-by":"crossref","unstructured":"Carns, P., et al.: 24\/7 characterization of petascale I\/O workloads. In: Proceedings of CLUSTER 2009, pp. 1\u201310. IEEE (2009)","DOI":"10.1109\/CLUSTR.2009.5289150"},{"key":"3_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1007\/978-3-540-30474-6_23","volume-title":"High Performance Computing - HiPC 2004","author":"J Carter","year":"2004","unstructured":"Carter, J., Borrill, J., Oliker, L.: Performance characteristics of a cosmology package on leading HPC architectures. In: Boug\u00e9, L., Prasanna, V.K. (eds.) HiPC 2004. LNCS, vol. 3296, pp. 176\u2013188. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-30474-6_23"},{"key":"3_CR9","unstructured":"Colella, P., et al.: Chombo infrastructure for adaptive mesh refinement (2005). https:\/\/seesar.lbl.gov\/ANAG\/chombo\/"},{"issue":"3","key":"3_CR10","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/j.future.2004.11.016","volume":"22","author":"JT Daly","year":"2004","unstructured":"Daly, J.T.: A higher order estimate of the optimum checkpoint interval for restart dumps. FGCS 22(3), 303\u2013312 (2004)","journal-title":"FGCS"},{"key":"3_CR11","doi-asserted-by":"crossref","unstructured":"Dorier, M., Antoniu, G., Ross, R., Kimpe, D., Ibrahim, S.: CALCioM: mitigating I\/O interference in HPC systems through cross-application coordination. In: Proceedings of IPDPS (2014)","DOI":"10.1109\/IPDPS.2014.27"},{"key":"3_CR12","doi-asserted-by":"crossref","unstructured":"Dorier, M., Ibrahim, S., Antoniu, G., Ross, R.: Omnisc\u2019IO: a grammar-based approach to spatial and temporal I\/O patterns prediction. In: SC, pp. 623\u2013634. IEEE Press (2014)","DOI":"10.1109\/SC.2014.56"},{"key":"3_CR13","unstructured":"Ethier, S., Adams, M., Carter, J., Oliker, L.: Petascale parallelization of the gyrokinetic toroidal code. In: VECPAR 2012 (2012)"},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Gainaru, A., Aupy, G., Benoit, A., Cappello, F., Robert, Y., Snir, M.: Scheduling the I\/O of HPC applications under congestion. In: IPDPS, pp. 1013\u20131022. IEEE (2015)","DOI":"10.1109\/IPDPS.2015.116"},{"key":"3_CR15","doi-asserted-by":"crossref","unstructured":"Habib, S., et al.: The universe at extreme scale: multi-petaflop sky simulation on the BG\/Q. In: Proceedings of SC 2012, p. 4. IEEE Computer Society (2012)","DOI":"10.1109\/SC.2012.106"},{"key":"3_CR16","unstructured":"Hanen, C., Munier, A.: Cyclic scheduling on parallel processors: an overview. Citeseer (1993)"},{"key":"3_CR17","unstructured":"Harrod, B.: Big data and scientific discovery (2014)"},{"key":"3_CR18","doi-asserted-by":"crossref","first-page":"1154","DOI":"10.1631\/FITEE.1601336","volume":"17","author":"W Hu","year":"2016","unstructured":"Hu, W., Liu, G.-M., Li, Q., Jiang, Y.-H., Cai, G.-L.: Storage wall for exascale supercomputing. Front. Inf. Technol. Electron. Eng. 17, 1154\u20131175 (2016). Zhejiang University Press","journal-title":"Front. Inf. Technol. Electron. Eng."},{"key":"3_CR19","unstructured":"Isaila, F., Carretero, J.: Making the case for data staging coordination and control for parallel applications. In: Workshop on Exascale MPI at Supercomputing Conference (2015)"},{"key":"3_CR20","doi-asserted-by":"crossref","unstructured":"Kougkas, A., Dorier, M., Latham, R., Ross, R., Sun, X.-H.: Leveraging burst buffer coordination to prevent I\/O interference. In: IEEE International Conference on eScience. IEEE (2016)","DOI":"10.1109\/eScience.2016.7870922"},{"key":"3_CR21","doi-asserted-by":"crossref","unstructured":"Kumar, S., et al.: Characterization and modeling of PIDX parallel I\/O for performance optimization. In: SC. ACM (2013)","DOI":"10.1145\/2503210.2503252"},{"key":"3_CR22","unstructured":"Lazzarini, A.: Advanced LIGO data & computing (2003)"},{"key":"3_CR23","doi-asserted-by":"crossref","unstructured":"Liu, N., et al.: On the role of burst buffers in leadership-class storage systems. In: MSST\/SNAPI (2012)","DOI":"10.1109\/MSST.2012.6232369"},{"key":"3_CR24","doi-asserted-by":"crossref","unstructured":"Lofstead, J., et al.: Managing variability in the IO performance of petascale storage systems. In: SC. IEEECS (2010)","DOI":"10.1109\/SC.2010.32"},{"key":"3_CR25","doi-asserted-by":"crossref","unstructured":"Lofstead, J., Ross, R.: Insights for exascale IO APIs from building a petascale IO API. In: Proceedings of SC 2013, p. 87. ACM (2013)","DOI":"10.1145\/2503210.2503238"},{"key":"3_CR26","doi-asserted-by":"crossref","first-page":"012078","DOI":"10.1088\/1742-6596\/78\/1\/012078","volume":"78","author":"R Nair","year":"2007","unstructured":"Nair, R., Tufo, H.: Petascale atmospheric general circulation models. J. Phys. Conf. Ser. 78, 012078 (2007). IOP Publishing","journal-title":"J. Phys. Conf. Ser."},{"key":"3_CR27","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1088\/1742-6596\/46\/1\/004","volume":"46","author":"R Sankaran","year":"2006","unstructured":"Sankaran, R., et al.: Direct numerical simulations of turbulent lean premixed combustion. J. Phys. Conf. Ser. 46, 38 (2006). IOP Publishing","journal-title":"J. Phys. Conf. Ser."},{"key":"3_CR28","doi-asserted-by":"crossref","unstructured":"Seelam, S.R., Teller, P.J.: Virtual I\/O scheduler: a scheduler of schedulers for performance virtualization. In: Proceedings VEE, pp. 105\u2013115. ACM (2007)","DOI":"10.1145\/1254810.1254826"},{"issue":"4","key":"3_CR29","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1137\/0402049","volume":"2","author":"P Serafini","year":"1989","unstructured":"Serafini, P., Ukovich, W.: A mathematical model for periodic scheduling problems. SIAM J. Discret. Math. 2(4), 550\u2013581 (1989)","journal-title":"SIAM J. Discret. Math."},{"key":"3_CR30","unstructured":"Shan, H., Shalf, J.: Using IOR to analyze the I\/O performance for HPC platforms. In: Cray User Group (2007)"},{"key":"3_CR31","doi-asserted-by":"crossref","unstructured":"Skinner, D., Kramer, W.: Understanding the causes of performance variability in HPC workloads. In: IEEE Workload Characterization Symposium, pp. 137\u2013149 (2005)","DOI":"10.1109\/IISWC.2005.1526010"},{"key":"3_CR32","doi-asserted-by":"crossref","unstructured":"Tessier, F., Malakar, P., Vishwanath, V., Jeannot, E., Isaila, F.: Topology-aware data aggregation for intensive I\/O on large-scale supercomputers. In: Proceedings of the First Workshop on Optimization of Communication in HPC, pp. 73\u201381. IEEE Press (2016)","DOI":"10.1109\/COMHPC.2016.013"},{"key":"3_CR33","doi-asserted-by":"crossref","unstructured":"Zhang, X., Davis, K., Jiang, S.: Opportunistic data-driven execution of parallel programs for efficient I\/O services. In: Proceedings of IPDPS, pp. 330\u2013341. IEEE (2012)","DOI":"10.1109\/IPDPS.2012.39"},{"key":"3_CR34","doi-asserted-by":"crossref","unstructured":"Zhou, Z., Yang, X., Zhao, D., Rich, P., Tang, W., Wang, J., Lan, Z.: I\/O-aware batch scheduling for petascale computing systems. In: 2015 IEEE International Conference on Cluster Computing, pp. 254\u2013263, September 2015","DOI":"10.1109\/CLUSTER.2015.45"}],"container-title":["Lecture Notes in Computer Science","High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-72971-8_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,8]],"date-time":"2019-10-08T13:29:38Z","timestamp":1570541378000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-72971-8_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12,23]]},"ISBN":["9783319729701","9783319729718"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-72971-8_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017,12,23]]}}}