{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T06:42:53Z","timestamp":1789454573047,"version":"build-2803163510"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,6,18]]},"DOI":"10.1145\/3592980.3595311","type":"proceedings-article","created":{"date-parts":[[2023,6,14]],"date-time":"2023-06-14T03:07:44Z","timestamp":1686712064000},"page":"35-43","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["Elastic Use of Far Memory for In-Memory Database Management Systems"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2382-0664","authenticated-orcid":false,"given":"Donghun","family":"Lee","sequence":"first","affiliation":[{"name":"SAP Labs Korea, KR"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8505-0936","authenticated-orcid":false,"given":"Thomas","family":"Willhalm","sequence":"additional","affiliation":[{"name":"Intel Deutschland GmbH, DE"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4404-2934","authenticated-orcid":false,"given":"Minseon","family":"Ahn","sequence":"additional","affiliation":[{"name":"SAP Labs Korea, KR"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7999-4368","authenticated-orcid":false,"given":"Suprasad","family":"Mutalik Desai","sequence":"additional","affiliation":[{"name":"Intel Technology India Pvt. Ltd., India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7664-4501","authenticated-orcid":false,"given":"Daniel","family":"Booss","sequence":"additional","affiliation":[{"name":"SAP SE, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7605-2368","authenticated-orcid":false,"given":"Navneet","family":"Singh","sequence":"additional","affiliation":[{"name":"Intel Technology India Pvt. Ltd., India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6146-3365","authenticated-orcid":false,"given":"Daniel","family":"Ritter","sequence":"additional","affiliation":[{"name":"SAP, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8011-7652","authenticated-orcid":false,"given":"Jungmin","family":"Kim","sequence":"additional","affiliation":[{"name":"SAP Labs Korea, KR"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3873-5849","authenticated-orcid":false,"given":"Oliver","family":"Rebholz","sequence":"additional","affiliation":[{"name":"SAP SE, DE"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,6,18]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","unstructured":"Marcos\u00a0K. Aguilera Kimberly Keeton Stanko Novakovic and Sharad Singhal. 2019. Designing Far Memory Data Structures: Think Outside the Box. In HotOS. ACM 120\u2013126. https:\/\/doi.org\/10.1145\/3317550.3321433","DOI":"10.1145\/3317550.3321433"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3533737.3535090"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3342195.3387522"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.14778\/3137765.3137780"},{"key":"e_1_3_2_1_5_1","unstructured":"AsteraLabs. 2022. CXL Memory Accelerators. https:\/\/www.asteralabs.com\/products\/cxl-memory-platform\/"},{"key":"e_1_3_2_1_6_1","unstructured":"CCIX Consortium. 2017. CCIX. https:\/\/www.ccixconsortium.com\/"},{"key":"e_1_3_2_1_7_1","unstructured":"Compute Express\u00a0Link Consortium. 2019. CXL. https:\/\/www.computeexpresslink.org\/"},{"key":"e_1_3_2_1_8_1","unstructured":"Gen-Z Consortium. 2016. Gen-Z. https:\/\/genzconsortium.org\/"},{"key":"e_1_3_2_1_9_1","unstructured":"OpenCAPI Consortium. 2014. OpenCAPI. https:\/\/opencapi.org\/"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1561\/1900000058"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.18420\/BTW2023-47"},{"key":"e_1_3_2_1_12_1","unstructured":"Donghyun Gouk Sangwon Lee Miryeong Kwon and Myoungsoo Jung. 2022. Direct access High-Performance memory disaggregation with DirectCXL. In USENIX ATC. 287\u2013294. https:\/\/www.usenix.org\/conference\/atc22\/presentation\/gouk"},{"key":"e_1_3_2_1_13_1","unstructured":"Intel\u00ae. 2021. Intel\u00ae VTune\u2122 Profiler. https:\/\/www.intel.com\/content\/www\/us\/en\/developer\/tools\/oneapi\/vtune-profiler.html"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.14778\/3551793.3551837"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3575693.3578835"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2206.02878"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","unstructured":"J. McGlone P. Palazzari and J.\u00a0B. Leclere. 2018. Accelerating Key In-memory Database Functionality with FPGA Technology. In ReConFig. 1\u20138. https:\/\/doi.org\/10.1109\/RECONFIG.2018.8641722","DOI":"10.1109\/RECONFIG.2018.8641722"},{"key":"e_1_3_2_1_18_1","unstructured":"Samsung Newsroom. 2022. Samsung Electronics Introduces Industry\u2019s First 512GB CXL Memory Module. https:\/\/news.samsung.com\/global\/samsung-electronics-introduces-industrys-first-512gb-cxl-memory-module"},{"key":"e_1_3_2_1_19_1","unstructured":"SK\u00a0Hynix Newsroom. 2022. SK hynix Develops DDR5 DRAM CXLTM Memory to Expand the CXL Memory Ecosystem. https:\/\/news.skhynix.com\/sk-hynix-develops-ddr5-dram-cxltm-memory-to-expand-the-cxl-memory-ecosystem\/"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/HCS55958.2022.9895633"},{"key":"e_1_3_2_1_21_1","unstructured":"Intel\u00ae PCM. 2023. Intel\u00ae Performance Counter Monitor. https:\/\/github.com\/intel\/pcm"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","unstructured":"Hasso Plattner. 2009. A common database approach for OLTP and OLAP using an in-memory column database. In SIGMOD. ACM 1\u20132. https:\/\/doi.org\/10.1145\/1559845.1559846","DOI":"10.1145\/1559845.1559846"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.14778\/2733004.2733074"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-15350-6_7"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.14778\/3352063.3352123"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","unstructured":"Vishal Sikka Franz F\u00e4rber Wolfgang Lehner Sang\u00a0Kyun Cha Thomas Peh and Christof Bornh\u00f6vd. 2012. Efficient Transaction Processing in SAP HANA Database: The End of a Column Store Myth. In SIGMOD. ACM 731\u2013742. https:\/\/doi.org\/10.1145\/2213836.2213946","DOI":"10.1145\/2213836.2213946"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/LCA.2022.3226482"},{"key":"e_1_3_2_1_28_1","unstructured":"Montage Technology. 2022. Montage Technology Delivers the World\u2019s First CXL\u2122 Memory eXpander Controller. https:\/\/www.montage-tech.com\/Press_Releases\/20220506"},{"key":"e_1_3_2_1_29_1","unstructured":"TPC-C. 2023. TPC-C. https:\/\/www.tpc.org\/tpcc\/"},{"key":"e_1_3_2_1_30_1","unstructured":"TPC-H. 2023. TPC-H. https:\/\/www.tpc.org\/tpch\/"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/NAS55553.2022.9925356"}],"event":{"name":"SIGMOD\/PODS '23: International Conference on Management of Data","location":"Seattle WA USA","acronym":"SIGMOD\/PODS '23","sponsor":["SIGMOD ACM Special Interest Group on Management of Data"]},"container-title":["Proceedings of the 19th International Workshop on Data Management on New Hardware"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3592980.3595311","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3592980.3595311","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:48:01Z","timestamp":1750178881000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3592980.3595311"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":31,"alternative-id":["10.1145\/3592980.3595311","10.1145\/3592980"],"URL":"https:\/\/doi.org\/10.1145\/3592980.3595311","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]},"assertion":[{"value":"2023-06-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}