{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:39:37Z","timestamp":1740123577278,"version":"3.37.3"},"reference-count":23,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T00:00:00Z","timestamp":1624233600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T00:00:00Z","timestamp":1624233600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2019R1A2C1008716"],"award-info":[{"award-number":["NRF-2019R1A2C1008716"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Supercomput"],"published-print":{"date-parts":[[2022,2]]},"DOI":"10.1007\/s11227-021-03948-5","type":"journal-article","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T10:03:41Z","timestamp":1624269821000},"page":"1885-1902","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Dynamic recognition prefetch engine for DRAM-PCM hybrid main memory"],"prefix":"10.1007","volume":"78","author":[{"given":"Mengzhao","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Jeong-Geun","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Su-Kyung","family":"Yoon","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2642-6662","authenticated-orcid":false,"given":"Shin-Dug","family":"Kim","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,6,21]]},"reference":[{"key":"3948_CR1","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-19363-7","volume-title":"In-Memory Data Management","author":"Plattner Hasso","year":"2011","unstructured":"Hasso Plattner, Zeier A (2011) In-Memory Data Management. Spriger, Germany"},{"key":"3948_CR2","doi-asserted-by":"crossref","unstructured":"Jiang T, Zhang Q, Hou R, Chai L, McKee SA, Jia Z, Sun N (2014) Understanding the behavior of in-memory computing workloads. In: IEEE International Symposium on Workload Characterization (IISWC), pp. 22\u201330","DOI":"10.1109\/IISWC.2014.6983036"},{"issue":"2","key":"3948_CR3","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1109\/LCA.2018.2841835","volume":"17","author":"Ji-Tae Yun","year":"2018","unstructured":"Yun Ji-Tae et al (2018) Regression Prefetcher with Preprocessing for DRAM-PCM Hybrid Main Memory. IEEE Comput Architect Lett 17(2):163\u2013166","journal-title":"IEEE Comput Architect Lett"},{"key":"3948_CR4","doi-asserted-by":"crossref","unstructured":"Qureshi MK et al (2009) Scalable high performance main memory system using phase-change memory technology. In: Proc 36th Annu Int Symp Comput Archit, pp. 24\u201333","DOI":"10.1145\/1555815.1555760"},{"issue":"2","key":"3948_CR5","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1109\/TMSCS.2016.2538229","volume":"2","author":"S-K Yoon","year":"2016","unstructured":"Yoon S-K et al (2016) Optimized memory-disk integrated system with DRAM and nonvolatile memory. IEEE Trans MultiScale Comput Syst 2(2):83\u201393","journal-title":"IEEE Trans MultiScale Comput Syst"},{"key":"3948_CR6","doi-asserted-by":"crossref","unstructured":"Nesbit KJ and Smith JE (2004) Data cache prefetching using a global history buffer. In: Proc. Int Symp. High Perform. Comput Archit, pp. 96\u2013105","DOI":"10.1109\/HPCA.2004.10030"},{"key":"3948_CR7","doi-asserted-by":"crossref","unstructured":"Fu JWC et al (1992) Stride directed prefetching in scalar processors. In: Proc. IEEE\/ACM Int. Symp. Microarchitecture, pp. 102\u2013110","DOI":"10.1145\/144965.145006"},{"key":"3948_CR8","doi-asserted-by":"crossref","unstructured":"Nai L et al (2015) GraphBIG: understanding graph computing in the context of industrial solutions. In: Proc. Int. Conf. High Perform. Comput. Netw. Storage Anal., pp. 1\u201312","DOI":"10.1145\/2807591.2807626"},{"key":"3948_CR9","doi-asserted-by":"crossref","unstructured":"Somogyi S et al (2006) Spatial memory streaming. In: Proc Int Symp Comput Archit, pp. 252\u2013263","DOI":"10.1145\/1150019.1136508"},{"issue":"3","key":"3948_CR10","first-page":"327","volume":"46","author":"LIANG Yuan","year":"2019","unstructured":"Yuan LIANG, Jing-ling YUAN, Min-cheng CHEN (2019) Prefetching algorithm of Sarsa learning based on space optimization. Comput Sci 46(3):327\u2013331","journal-title":"Comput Sci"},{"key":"3948_CR11","doi-asserted-by":"crossref","unstructured":"Zhuang X and Lee H-HS (2003) A hardware-based cache pollution filtering mechanism for aggressive prefetches. In: Proc 32nd Int Conf Parallel Process, pp. 286\u2013293","DOI":"10.1109\/ICPP.2003.1240591"},{"issue":"1","key":"3948_CR12","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1093\/biomet\/92.1.59","volume":"92","author":"CHEN Kani","year":"2005","unstructured":"Kani CHEN, Zhezhen JIN (2005) Local polynomial regression analysis of clustered data. Biometrika 92(1):59\u201374","journal-title":"Biometrika"},{"issue":"1","key":"3948_CR13","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1016\/j.proeng.2012.09.545","volume":"48","author":"Eva Ostertagov","year":"2012","unstructured":"Ostertagov Eva (2012) Modelling using polynomial regression. Proc Eng 48(1):500\u2013506","journal-title":"Proc Eng"},{"key":"3948_CR14","volume-title":"Data analysis and regression: a second course in statistics","author":"F Mosteller","year":"1977","unstructured":"Mosteller F, Tukey JW (1977) Data analysis and regression: a second course in statistics. Addison-Wesley, Reading, MA"},{"key":"3948_CR15","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511790942","volume-title":"Data analysis using regression and multilevel\/hierarchical models","author":"A Gelman","year":"2006","unstructured":"Gelman A, Hill J (2006) Data analysis using regression and multilevel\/hierarchical models. Cambridge University Press, Cambridge"},{"key":"3948_CR16","doi-asserted-by":"crossref","unstructured":"Caruana R, Niculescu-Mizil A (2006) An empirical comparison of supervised learning algorithms. In: ICML, pp. 161-168","DOI":"10.1145\/1143844.1143865"},{"key":"3948_CR17","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1145\/360569.360653","volume":"18","author":"G Peters","year":"1975","unstructured":"Peters G, Wilkinson JH (1975) On the stability of Gauss-Jordan elimination with pivoting. Commun ACM 18:20\u201324","journal-title":"Commun ACM"},{"key":"3948_CR18","unstructured":"Renzo Angles, J\u00e1nos Benjamin Antal, et al (2020) \u201cThe LDBC Social Network Benchmark (version 0.3.3)\u201d, CoRR abs\/2001.02299"},{"key":"3948_CR19","doi-asserted-by":"crossref","unstructured":"Nai Lifeng, Xia Yinglong et al (2015) GraphBIG: understanding graph computing in the context of industrial solutions. In: SC \u201915: Proceedings of the International Conference for High Performance Computing. Networking, Storage and Analysis","DOI":"10.1145\/2807591.2807626"},{"key":"3948_CR20","doi-asserted-by":"crossref","unstructured":"Luk C-K et al (2005) Pin: building customized program analysis tools with dynamic instrumentation. In: Proc. ACM SIGPLAN Conf. Program. Language Des. Implementation, pp. 190\u2013200 (2005)","DOI":"10.1145\/1064978.1065034"},{"key":"3948_CR21","unstructured":"Chen S, Gibbons PB, and Nath S (2011) Rethinking database algorithms for phase change memory. In: Proc. CIDR, pp. 21\u201331"},{"key":"3948_CR22","unstructured":"Park KH et al (2010) Mn-mate: Resource management of many cores with dram and non-volatile memories. In: Proc. 12th IEEE Int. Conf. HPCC, Sep., pp. 24\u201334"},{"key":"3948_CR23","doi-asserted-by":"crossref","unstructured":"Qureshi M and Karidis J (2009) Enhancing lifetime and security of pcm-based main memory with start-gap wear leveling. In: Proc. 42nd Annu. IEEE\/ACM Int. Symp. Microarchit., pp. 14\u201323","DOI":"10.1145\/1669112.1669117"}],"container-title":["The Journal of Supercomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-021-03948-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11227-021-03948-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-021-03948-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,24]],"date-time":"2022-01-24T11:23:13Z","timestamp":1643023393000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11227-021-03948-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,21]]},"references-count":23,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2022,2]]}},"alternative-id":["3948"],"URL":"https:\/\/doi.org\/10.1007\/s11227-021-03948-5","relation":{},"ISSN":["0920-8542","1573-0484"],"issn-type":[{"type":"print","value":"0920-8542"},{"type":"electronic","value":"1573-0484"}],"subject":[],"published":{"date-parts":[[2021,6,21]]},"assertion":[{"value":"29 May 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 June 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}