{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T01:18:44Z","timestamp":1743038324136,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030576745"},{"type":"electronic","value":"9783030576752"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-57675-2_31","type":"book-chapter","created":{"date-parts":[[2020,8,17]],"date-time":"2020-08-17T23:12:33Z","timestamp":1597705953000},"page":"493-509","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Enhancing Resource Management Through Prediction-Based Policies"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8317-6022","authenticated-orcid":false,"given":"Antoni","family":"Navarro","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2412-3027","authenticated-orcid":false,"given":"Arthur F.","family":"Lorenzon","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5146-103X","authenticated-orcid":false,"given":"Eduard","family":"Ayguad\u00e9","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3580-9630","authenticated-orcid":false,"given":"Vicen\u00e7","family":"Beltran","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,8,18]]},"reference":[{"key":"31_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1007\/978-3-319-24595-9_16","volume-title":"OpenMP: Heterogenous Execution and Data Movements","author":"F Alessi","year":"2015","unstructured":"Alessi, F., Thoman, P., Georgakoudis, G., Fahringer, T., Nikolopoulos, D.S.: Application-level energy awareness for OpenMP. In: Terboven, C., de Supinski, B.R., Reble, P., Chapman, B.M., M\u00fcller, M.S. (eds.) IWOMP 2015. LNCS, vol. 9342, pp. 219\u2013232. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24595-9_16"},{"issue":"2","key":"31_CR2","first-page":"133","volume":"11","author":"VK Barekas","year":"2003","unstructured":"Barekas, V.K., Hadjidoukas, P.E., Polychronopoulos, E.D., Papatheodorou, T.S.: A multiprogramming aware OpenMP implementation. Sci. Program. 11(2), 133\u2013141 (2003)","journal-title":"Sci. Program."},{"key":"31_CR3","doi-asserted-by":"crossref","unstructured":"Benedict, S., Rejitha, R.S., Gschwandtner, P., Prodan, R., Fahringer, T.: Energy prediction of OpenMP applications using random forest modeling approach. In: IEEE IPDPSW, pp. 1251\u20131260, May 2015","DOI":"10.1109\/IPDPSW.2015.12"},{"issue":"2","key":"31_CR4","first-page":"246","volume":"21","author":"L Boguslavsky","year":"1994","unstructured":"Boguslavsky, L., Harzallah, K., Kreinen, A., Sevcik, K., Vainshtein, A.: Optimal strategies for spinning and blocking. JPDC 21(2), 246\u2013254 (1994)","journal-title":"JPDC"},{"key":"31_CR5","doi-asserted-by":"crossref","unstructured":"Chadha, G., Mahlke, S., Narayanasamy, S.: When less is more (limo):controlled parallelism for improved efficiency. In: CASES, pp. 141\u2013150. ACM, New York (2012)","DOI":"10.1145\/2380403.2380431"},{"issue":"10","key":"31_CR6","doi-asserted-by":"publisher","first-page":"1396","DOI":"10.1109\/TPDS.2007.70804","volume":"19","author":"M Curtis-Maury","year":"2008","unstructured":"Curtis-Maury, M., Blagojevic, F., Antonopoulos, C.D., Nikolopoulos, D.S.: Prediction-based power-performance adaptation of multithreaded scientific codes. IEEE Trans. Parallel Distrib. Syst. 19(10), 1396\u20131410 (2008)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"31_CR7","doi-asserted-by":"crossref","unstructured":"David, H., Gorbatov, E., Hanebutte, U.R., Khanna, R., Le, C.: Rapl: Memory power estimation and capping. In: ISLPED, p. 189\u2013194. ACM, New York (2010)","DOI":"10.1145\/1840845.1840883"},{"key":"31_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/978-3-642-30961-8_2","volume-title":"OpenMP in a Heterogeneous World","author":"AE Eichenberger","year":"2012","unstructured":"Eichenberger, A.E., Terboven, C., Wong, M., an Mey, D.: The design of OpenMP thread affinity. In: Chapman, B.M., Massaioli, F., M\u00fcller, M.S., Rorro, M. (eds.) IWOMP 2012. LNCS, vol. 7312, pp. 15\u201328. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-30961-8_2"},{"key":"31_CR9","doi-asserted-by":"crossref","unstructured":"Garcia, M., Corbalan, J., Labarta, J.: Lewi: a runtime balancing algorithm for nested parallelism. In: ICPP 2009, pp. 526\u2013533, September 2009","DOI":"10.1109\/ICPP.2009.56"},{"key":"31_CR10","doi-asserted-by":"crossref","unstructured":"Harris, T., Maas, M., Marathe, V.J.: Callisto: co-scheduling parallel runtime systems. In: European Conference on Computer Systems, pp. 1\u201314 (2014)","DOI":"10.1145\/2592798.2592807"},{"key":"31_CR11","unstructured":"Intel: Intel OpenMP Runtime Library Website. https:\/\/www.openmprtl.org\/download. Accessed 21 Feb 2020"},{"issue":"3","key":"31_CR12","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1145\/355841.355847","volume":"5","author":"CL Lawson","year":"1979","unstructured":"Lawson, C.L., Hanson, R.J., Kincaid, D.R., Krogh, F.T.: Basic linear algebra subprograms for fortran usage. ACM Trans. Math. Softw. 5(3), 308\u2013323 (1979)","journal-title":"ACM Trans. Math. Softw."},{"key":"31_CR13","doi-asserted-by":"crossref","unstructured":"Li, D., de Supinski, B.R., Schulz, M., Cameron, K., Nikolopoulos, D.S.: Hybrid MPI\/OpenMP power-aware computing. In: IEEE IPDPS, pp. 1\u201312, April 2010","DOI":"10.1109\/IPDPS.2010.5470463"},{"key":"31_CR14","doi-asserted-by":"crossref","unstructured":"Lorenzon, A.F., Souza, J.D., Beck, A.C.S.: Laant: A library to automatically optimize EDP for OpenMP applications. In: DATE, pp. 1229\u20131232, March 2017","DOI":"10.23919\/DATE.2017.7927176"},{"key":"31_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/978-3-319-65578-9_12","volume-title":"Scaling OpenMP for Exascale Performance and Portability","author":"A Navarro","year":"2017","unstructured":"Navarro, A., Mateo, S., Perez, J.M., Beltran, V., Ayguad\u00e9, E.: Adaptive and architecture-independent task granularity for recursive applications. In: de Supinski, B.R., Olivier, S.L., Terboven, C., Chapman, B.M., M\u00fcller, M.S. (eds.) IWOMP 2017. LNCS, vol. 10468, pp. 169\u2013182. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-65578-9_12"},{"key":"31_CR16","unstructured":"Novillo, D.: OpenMP and automatic parallelization in GCC. In: In the Proceedings of the GCC Developers (2006)"},{"key":"31_CR17","unstructured":"OpenMP Architecture Review Board: OpenMP API. Version 5.0, November 2018. https:\/\/www.openmp.org\/. Accessed 10 Feb 2020"},{"key":"31_CR18","doi-asserted-by":"crossref","unstructured":"Porterfield, A.K., Olivier, S.L., Bhalachandra, S., Prins, J.F.: Power measurement and concurrency throttling for energy reduction in OpenMP programs. In: IEEE IPDPS, pp. 884\u2013891 (2013)","DOI":"10.1109\/IPDPSW.2013.15"},{"key":"31_CR19","doi-asserted-by":"crossref","unstructured":"Pusukuri, K.K., Gupta, R., Bhuyan, L.N.: Thread reinforcer: dynamically determining number of threads via os level monitoring. In: IEEE International Symposium on Workload Characterization, pp. 116\u2013125. IEEE Computer Society, DC (2011)","DOI":"10.1109\/IISWC.2011.6114208"},{"key":"31_CR20","doi-asserted-by":"crossref","unstructured":"Raman, A., Zaks, A., Lee, J.W., August, D.I.: Parcae: a system for flexible parallel execution. In: ACM SIGPLAN PLDI, pp. 133\u2013144. ACM, New York (2012)","DOI":"10.1145\/2345156.2254082"},{"key":"31_CR21","doi-asserted-by":"crossref","unstructured":"Shafik, R.A., Das, A., Yang, S., Merrett, G., Al-Hashimi, B.M.: Adaptive energy minimization of OpenMP parallel applications on many-core systems. In: Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures, pp. 19\u201324. ACM, New York (2015)","DOI":"10.1145\/2701310.2701311"},{"key":"31_CR22","doi-asserted-by":"crossref","unstructured":"Sridharan, S., Gupta, G., Sohi, G.S.: Holistic run-time parallelism management for time and energy efficiency. In: International Conference on Supercomputing, pp. 337\u2013348. ACM, New York (2013)","DOI":"10.1145\/2464996.2465016"},{"issue":"1","key":"31_CR23","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1145\/1353534.1346317","volume":"36","author":"MA Suleman","year":"2008","unstructured":"Suleman, M.A., Qureshi, M.K., Patt, Y.N.: Feedback-driven threading: power-efficient and high-performance execution of multi-threaded workloads on CMPs. SIGARCH Comput. Archit. News 36(1), 277\u2013286 (2008)","journal-title":"SIGARCH Comput. Archit. News"},{"key":"31_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1007\/978-3-319-45550-1_14","volume-title":"OpenMP: Memory, Devices, and Tasks","author":"Y Yan","year":"2016","unstructured":"Yan, Y., Hammond, J.R., Liao, C., Eichenberger, A.E.: A proposal to OpenMP for addressing the CPU oversubscription challenge. In: Maruyama, N., de Supinski, B.R., Wahib, M. (eds.) IWOMP 2016. LNCS, vol. 9903, pp. 187\u2013202. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-45550-1_14"}],"container-title":["Lecture Notes in Computer Science","Euro-Par 2020: Parallel Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-57675-2_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,18]],"date-time":"2024-08-18T00:05:03Z","timestamp":1723939503000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-57675-2_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030576745","9783030576752"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-57675-2_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"18 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Euro-Par","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Parallel Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Warsaw","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 August 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"europar2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2020.euro-par.org\/","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"158","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":"39","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":"25% - 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)"}},{"value":"The conference was held virtually due to the coronavirus pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}