{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T07:34:38Z","timestamp":1726040078186},"publisher-location":"Cham","reference-count":34,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030275617"},{"type":"electronic","value":"9783030275624"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-27562-4_34","type":"book-chapter","created":{"date-parts":[[2019,8,8]],"date-time":"2019-08-08T19:02:47Z","timestamp":1565290967000},"page":"470-483","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Predictive Resource Management for Next-Generation High-Performance Computing Heterogeneous Platforms"],"prefix":"10.1007","author":[{"given":"Giuseppe","family":"Massari","sequence":"first","affiliation":[]},{"given":"Anna","family":"Pupykina","sequence":"additional","affiliation":[]},{"given":"Giovanni","family":"Agosta","sequence":"additional","affiliation":[]},{"given":"William","family":"Fornaciari","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,8]]},"reference":[{"issue":"99","key":"34_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TPDS.2018.2878699","volume":"PP","author":"C Ababei","year":"2018","unstructured":"Ababei, C., Ghorbani Moghaddam, M.: A survey of prediction and classification techniques in multicore processor systems. IEEE Trans. Parallel Distrib. Syst. PP(99), 1 (2018). \n                      https:\/\/doi.org\/10.1109\/TPDS.2018.2878699","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"34_CR2","doi-asserted-by":"publisher","unstructured":"Agosta, G., Fornaciari, W., Massari, G., Pupykina, A., Reghenzani, F., Zanella, M.: Managing heterogeneous resources in HPC systems. In: Proceedings of PARMA-DITAM 2018, pp. 7\u201312. ACM (2018). \n                      https:\/\/doi.org\/10.1145\/3183767.3183769","DOI":"10.1145\/3183767.3183769"},{"issue":"2","key":"34_CR3","doi-asserted-by":"publisher","first-page":"39:1","DOI":"10.1145\/2658990","volume":"14","author":"P Bellasi","year":"2015","unstructured":"Bellasi, P., Massari, G., Fornaciari, W.: Effective runtime resource management using Linux control groups with the BarbequeRTRM framework. ACM Trans. Embed. Comput. Syst. 14(2), 39:1\u201339:17 (2015). \n                      https:\/\/doi.org\/10.1145\/2658990","journal-title":"ACM Trans. Embed. Comput. Syst."},{"key":"34_CR4","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.softx.2018.03.006","volume":"7","author":"S Cherubin","year":"2018","unstructured":"Cherubin, S., Agosta, G.: libVersioningCompiler: an easy-to-use library for dynamic generation and invocation of multiple code versions. SoftwareX 7, 95\u2013100 (2018). \n                      https:\/\/doi.org\/10.1016\/j.softx.2018.03.006","journal-title":"SoftwareX"},{"issue":"4","key":"34_CR5","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1109\/TSUSC.2018.2797890","volume":"3","author":"D Dauwe","year":"2018","unstructured":"Dauwe, D., Pasricha, S., Maciejewski, A.A., Siegel, H.J.: Resilience-aware resource management for exascale computing systems. IEEE Trans. Sustain. Comput. 3(4), 332\u2013345 (2018). \n                      https:\/\/doi.org\/10.1109\/TSUSC.2018.2797890","journal-title":"IEEE Trans. Sustain. Comput."},{"key":"34_CR6","doi-asserted-by":"crossref","unstructured":"Donyanavard, B., M\u00fcck, T., Sarma, S., Dutt, N.: SPARTA: runtime task allocation for energy efficient heterogeneous manycores. In: 2016 International Conference on Hardware\/Software Codesign and System Synthesis (CODES+ISSS), pp. 1\u201310, October 2016","DOI":"10.1145\/2968456.2968459"},{"key":"34_CR7","doi-asserted-by":"crossref","unstructured":"Flich, J., et al.: Enabling HPC for QoS-sensitive applications: the MANGO approach. In: 2016 Design, Automation Test in Europe Conference Exhibition (DATE), pp. 702\u2013707, March 2016","DOI":"10.3850\/9783981537079_1019"},{"key":"34_CR8","doi-asserted-by":"publisher","unstructured":"Flich, J., Agosta, G., et al.: MANGO: exploring manycore architectures for next-generation HPC systems. In: 2017 Euromicro Conference on Digital System Design (DSD), pp. 478\u2013485, August 2017. \n                      https:\/\/doi.org\/10.1109\/DSD.2017.51","DOI":"10.1109\/DSD.2017.51"},{"key":"34_CR9","unstructured":"Flich, J., Alessandro, C., Kova\u010d, M., Tornero, R., Mart\u00ednez, J.M., Picornell, T.: Deeply heterogeneous many-accelerator infrastructure for HPC architecture exploration. In: Parallel Computing Conference (ParCo) (2017)"},{"key":"34_CR10","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.micpro.2018.05.011","volume":"61","author":"J Flich","year":"2018","unstructured":"Flich, J., et al.: Exploring manycore architectures for next-generation HPC systems through the MANGO approach. Microprocess. Microsyst. 61, 154\u2013170 (2018). \n                      https:\/\/doi.org\/10.1016\/j.micpro.2018.05.011","journal-title":"Microprocess. Microsyst."},{"key":"34_CR11","doi-asserted-by":"publisher","unstructured":"Fornaciari, W., et al.: Reliable power and time-constraints-aware predictive management of heterogeneous exascale systems. In: Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2018, pp. 187\u2013194. ACM, New York (2018). \n                      https:\/\/doi.org\/10.1145\/3229631.3239368","DOI":"10.1145\/3229631.3239368"},{"issue":"1","key":"34_CR12","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/TIT.1962.1057683","volume":"8","author":"R Gallager","year":"1962","unstructured":"Gallager, R.: Low-density parity-check codes. IRE Trans. Inf. Theory 8(1), 21\u201328 (1962)","journal-title":"IRE Trans. Inf. Theory"},{"key":"34_CR13","doi-asserted-by":"publisher","unstructured":"Georgiou, Y., Jeannot, E., Mercier, G., Villiermet, A.: Topology-aware resource management for HPC applications. In: Proceedings of the 18th International Conference on Distributed Computing and Networking, ICDCN 2017, pp. 17:1\u201317:10. ACM, New York (2017). \n                      https:\/\/doi.org\/10.1145\/3007748.3007768","DOI":"10.1145\/3007748.3007768"},{"key":"34_CR14","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1007\/978-3-319-92792-3_11","volume-title":"Hardware Accelerators in Data Centers","author":"K Georgopoulos","year":"2019","unstructured":"Georgopoulos, K., Mavroidis, I., Lavagno, L., Papaefstathiou, I., Bakanov, K.: Energy-efficient heterogeneous computing at exaSCALE\u2014ECOSCALE. In: Kachris, C., Falsafi, B., Soudris, D. (eds.) Hardware Accelerators in Data Centers, pp. 199\u2013213. Springer, Cham (2019). \n                      https:\/\/doi.org\/10.1007\/978-3-319-92792-3_11"},{"issue":"3","key":"34_CR15","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/MC.2007.79","volume":"40","author":"MC Herbordt","year":"2007","unstructured":"Herbordt, M.C., et al.: Achieving high performance with FPGA-based computing. Computer 40(3), 50\u201357 (2007)","journal-title":"Computer"},{"key":"34_CR16","unstructured":"Hindman, B., et al.: Mesos: a platform for fine-grained resource sharing in the data center. In: Proceedings of the 8th USENIX Conference on Networked Systems Design and Implementation, NSDI 2011, pp. 295\u2013308. USENIX Association, Berkeley (2011). \n                      http:\/\/dl.acm.org\/citation.cfm?id=1972457.1972488"},{"key":"34_CR17","doi-asserted-by":"publisher","unstructured":"Li, R., Yang, Q., Li, Y., Gu, X., Xiao, W., Li, K.: HeteroYARN: a heterogeneous FPGA-accelerated architecture based on YARN. IEEE Trans. Parallel Distrib. Syst. PP, 1 (2019). \n                      https:\/\/doi.org\/10.1109\/TPDS.2019.2905201","DOI":"10.1109\/TPDS.2019.2905201"},{"issue":"2","key":"34_CR18","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1049\/iet-cdt.2015.0053","volume":"10","author":"S Libutti","year":"2016","unstructured":"Libutti, S., Massari, G., Fornaciari, W.: Co-scheduling tasks on multi-core heterogeneous systems: an energy-aware perspective. IET Comput. Digit. Tech. 10(2), 77\u201384 (2016). \n                      https:\/\/doi.org\/10.1049\/iet-cdt.2015.0053","journal-title":"IET Comput. Digit. Tech."},{"issue":"18","key":"34_CR19","doi-asserted-by":"publisher","first-page":"1645","DOI":"10.1049\/el:19961141","volume":"32","author":"DJ MacKay","year":"1996","unstructured":"MacKay, D.J., Neal, R.M.: Near Shannon limit performance of low density parity check codes. Electron. Lett. 32(18), 1645 (1996)","journal-title":"Electron. Lett."},{"key":"34_CR20","doi-asserted-by":"publisher","unstructured":"Massari, G., et al.: Combining application adaptivity and system-wide resource management on multi-core platforms. In: 2014 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIV), pp. 26\u201333, July 2014. \n                      https:\/\/doi.org\/10.1109\/SAMOS.2014.6893191","DOI":"10.1109\/SAMOS.2014.6893191"},{"key":"34_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-319-92040-5_1","volume-title":"High Performance Computing","author":"A Netti","year":"2018","unstructured":"Netti, A., Galleguillos, C., Kiziltan, Z., S\u00eerbu, A., Babaoglu, O.: Heterogeneity-aware resource allocation in HPC systems. In: Yokota, R., Weiland, M., Keyes, D., Trinitis, C. (eds.) ISC High Performance 2018. LNCS, vol. 10876, pp. 3\u201321. Springer, Cham (2018). \n                      https:\/\/doi.org\/10.1007\/978-3-319-92040-5_1"},{"key":"34_CR22","doi-asserted-by":"publisher","unstructured":"Patki, T., et al.: Practical resource management in power-constrained, high performance computing. In: Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2015, pp. 121\u2013132. ACM, New York (2015). \n                      https:\/\/doi.org\/10.1145\/2749246.2749262","DOI":"10.1145\/2749246.2749262"},{"key":"34_CR23","doi-asserted-by":"publisher","unstructured":"Pupykina, A., Agosta, G.: Optimizing memory management in deeply heterogeneous HPC accelerators. In: 2017 46th International Conference on Parallel Processing Workshops (ICPPW), pp. 291\u2013300, August 2017. \n                      https:\/\/doi.org\/10.1109\/ICPPW.2017.49","DOI":"10.1109\/ICPPW.2017.49"},{"key":"34_CR24","doi-asserted-by":"publisher","unstructured":"Silvano, C., Agosta, G., et al.: The ANTAREX tool flow for monitoring and autotuning energy efficient HPC systems. In: 2017 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS), pp. 308\u2013316, July 2017. \n                      https:\/\/doi.org\/10.1109\/SAMOS.2017.8344645","DOI":"10.1109\/SAMOS.2017.8344645"},{"key":"34_CR25","doi-asserted-by":"publisher","unstructured":"Silvano, C., Fornaciari, W., Crespi Reghizzi, S., Agosta, G., et al.: 2PARMA: parallel paradigms and run-time management techniques for many-core architectures. In: 2010 IEEE Computer Society Annual Symposium on VLSI, pp. 494\u2013499, July 2010. \n                      https:\/\/doi.org\/10.1109\/ISVLSI.2010.93","DOI":"10.1109\/ISVLSI.2010.93"},{"key":"34_CR26","doi-asserted-by":"publisher","unstructured":"Silvano, C., Fornaciari, W., Crespi Reghizzi, S., Agosta, G., et al.: Parallel paradigms and run-time management techniques for many-core architectures: the 2PARMA approach. In: 2011 9th IEEE International Conference on Industrial Informatics, pp. 835\u2013840, July 2011. \n                      https:\/\/doi.org\/10.1109\/INDIN.2011.6035001","DOI":"10.1109\/INDIN.2011.6035001"},{"key":"34_CR27","doi-asserted-by":"publisher","unstructured":"Vavilapalli, V.K., et al.: Apache Hadoop YARN: yet another resource negotiator. In: Proceedings of the 4th Annual Symposium on Cloud Computing, SOCC 2013, pp. 5:1\u20135:16. ACM, New York (2013). \n                      https:\/\/doi.org\/10.1145\/2523616.2523633","DOI":"10.1145\/2523616.2523633"},{"key":"34_CR28","doi-asserted-by":"publisher","unstructured":"Wu, Y., Nikolopoulos, D.S., Woods, R.: Runtime support for adaptive power capping on heterogeneous SoCs. In: 2016 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS), pp. 71\u201378, July 2016. \n                      https:\/\/doi.org\/10.1109\/SAMOS.2016.7818333","DOI":"10.1109\/SAMOS.2016.7818333"},{"key":"34_CR29","unstructured":"Ziegler, W., D\u2019ippolito, R., D\u2019Auria, M., Berends, J., Nelissen, M., Diaz, R.: Implementing a \u201cone-stop-shop\u201d providing SMEs with integrated HPC simulation resources using Fortissimo resources. In: eChallenges e-2014 Conference, pp. 1\u201311. IEEE (2014)"},{"issue":"99","key":"34_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/LES.2019.2914136","volume":"PP","author":"D Zoni","year":"2019","unstructured":"Zoni, D., Cremona, L., Fornaciari, W.: All-digital energy-constrained controller for general-purpose accelerators and CPUs. IEEE Embed. Syst. Lett. PP(99), 1 (2019). \n                      https:\/\/doi.org\/10.1109\/LES.2019.2914136","journal-title":"IEEE Embed. Syst. Lett."},{"issue":"6","key":"34_CR31","doi-asserted-by":"publisher","first-page":"1603","DOI":"10.1109\/TPDS.2015.2468716","volume":"27","author":"D Zoni","year":"2016","unstructured":"Zoni, D., Flich, J., Fornaciari, W.: CUTBUF: buffer management and router design for traffic mixing in VNET-based NoCs. IEEE Trans. Parallel Distrib. Syst. 27(6), 1603\u20131616 (2016). \n                      https:\/\/doi.org\/10.1109\/TPDS.2015.2468716","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"34_CR32","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.jpdc.2017.01.016","volume":"104","author":"D Zoni","year":"2017","unstructured":"Zoni, D., Canidio, A., Fornaciari, W., Englezakis, P., Nicopoulos, C., Sazeides, Y.: BlackOut: enabling fine-grained power gating of buffers in Network-on-Chip routers. J. Parallel Distrib. Comput. 104, 130\u2013145 (2017). \n                      https:\/\/doi.org\/10.1016\/j.jpdc.2017.01.016","journal-title":"J. Parallel Distrib. Comput."},{"key":"34_CR33","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1016\/j.micpro.2018.07.007","volume":"63","author":"D Zoni","year":"2018","unstructured":"Zoni, D., Cremona, L., Cilardo, A., Gagliardi, M., Fornaciari, W.: Powertap: all-digital power meter modeling for run-time power monitoring. Microprocess. Microsyst. Embed. Hardw. Des. 63, 128\u2013139 (2018). \n                      https:\/\/doi.org\/10.1016\/j.micpro.2018.07.007","journal-title":"Microprocess. Microsyst. Embed. Hardw. Des."},{"issue":"3","key":"34_CR34","doi-asserted-by":"publisher","first-page":"27:1","DOI":"10.1145\/2751561","volume":"12","author":"D Zoni","year":"2015","unstructured":"Zoni, D., Fornaciari, W.: Modeling DVFS and power-gating actuators for cycle-accurate NoC-based simulators. J. Emerg. Technol. Comput. Syst. 12(3), 27:1\u201327:24 (2015). \n                      https:\/\/doi.org\/10.1145\/2751561","journal-title":"J. Emerg. Technol. Comput. Syst."}],"container-title":["Lecture Notes in Computer Science","Embedded Computer Systems: Architectures, Modeling, and Simulation"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-27562-4_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,8]],"date-time":"2019-08-08T19:14:58Z","timestamp":1565291698000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-27562-4_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030275617","9783030275624"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-27562-4_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"8 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SAMOS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Embedded Computer Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pythagorion","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"samos2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.samos-conference.com","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Softconf","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"55","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"26","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"47% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}