{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T14:21:11Z","timestamp":1766067671668,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":46,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T00:00:00Z","timestamp":1676937600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"State Key Laboratory of Mathematical Engineering and Advanced Computing"},{"name":"National Natural Science Foundation of China","award":["62141211"],"award-info":[{"award-number":["62141211"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,2,25]]},"DOI":"10.1145\/3572848.3577474","type":"proceedings-article","created":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T16:02:30Z","timestamp":1676995350000},"page":"1-13","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Boosting Performance and QoS for Concurrent GPU B+trees by Combining-Based Synchronization"],"prefix":"10.1145","author":[{"given":"Weihua","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Computer Science, Fudan University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chuanlei","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lu","family":"Peng","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Tulane University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuzhe","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fengzhe","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunping","family":"Lu","sequence":"additional","affiliation":[{"name":"Institute of Big Data, Fudan University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,2,21]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_1_1_1","DOI":"10.1016\/j.infsof.2020.106313"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_2_1","DOI":"10.4230\/LIPIcs.OPODIS.2018.11"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_3_1","DOI":"10.1109\/IPDPS.2018.00052"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_4_1","DOI":"10.1145\/3293883.3295706"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.1007\/978-3-642-25873-2_37"},{"key":"e_1_3_2_1_6_1","volume-title":"Retrieved","author":"Barr Jeff","year":"2020","unstructured":"Jeff Barr. 2020. Amazon Prime Day 2020 - Powered by AWS. Retrieved March 16, 2021 from https:\/\/aws.amazon.com\/blogs\/aws\/amazon-prime-day-2020-powered-by-aws\/"},{"key":"e_1_3_2_1_7_1","volume-title":"5th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 13)","author":"Blott Michaela","year":"2013","unstructured":"Michaela Blott, Kimon Karras, Ling Liu, Kees Vissers, Jeremia B\u00e4r, and Zsolt Istv\u00e1n. 2013. Achieving 10Gbps Line-rate Key-value Stores with FPGAs. In 5th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 13). USENIX Association, San Jose, CA. https:\/\/www.usenix.org\/conference\/hotcloud13\/workshop-program\/presentations\/blott"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_8_1","DOI":"10.2312\/EGPGV\/EGPGV10\/121-129"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_9_1","DOI":"10.1109\/HPCA.2016.7446071"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_10_1","DOI":"10.1145\/3079856.3080204"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_11_1","DOI":"10.1145\/1807128.1807152"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_12_1","DOI":"10.1109\/TPDS.2015.2485267"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_13_1","DOI":"10.1007\/978-3-319-41591-8_4"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_14_1","DOI":"10.1145\/2145816.2145849"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_15_1","DOI":"10.1109\/HPEC.2016.7761622"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_16_1","DOI":"10.1145\/1810479.1810540"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_17_1","DOI":"10.1145\/78969.78972"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_18_1","DOI":"10.1145\/2983323.2983341"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_19_1","DOI":"10.1109\/ICPP.2014.55"},{"unstructured":"IBM Corp. 2021. DB2 Database. https:\/\/www.ibm.com\/products\/db2-database","key":"e_1_3_2_1_20_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_21_1","DOI":"10.1145\/2541940.2541944"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_22_1","DOI":"10.1145\/2095536.2095588"},{"key":"e_1_3_2_1_23_1","volume-title":"Proceedings of the 2019 USENIX Conference on Usenix Annual Technical Conference (Renton, WA, USA) (USENIX ATC '19). USENIX Association, USA, 881--895","author":"Kogias Marios","year":"2019","unstructured":"Marios Kogias, Stephen Mallon, and Edouard Bugnion. 2019. Lancet: A Self-Correcting Latency Measuring Tool. In Proceedings of the 2019 USENIX Conference on Usenix Annual Technical Conference (Renton, WA, USA) (USENIX ATC '19). USENIX Association, USA, 881--895. https:\/\/www.usenix.org\/conference\/atc19\/presentation\/kogias-lancet"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_24_1","DOI":"10.1145\/1773912.1773922"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_25_1","DOI":"10.1145\/2925426.2926255"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_26_1","DOI":"10.1145\/3132747.3132756"},{"unstructured":"Microsoft Corp. 2021. MS SQL Server. https:\/\/www.microsoft.com\/en-us\/sql-server\/","key":"e_1_3_2_1_27_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_28_1","DOI":"10.1109\/TPDS.2014.2333007"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_29_1","DOI":"10.1109\/ICPADS.2012.18"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_30_1","DOI":"10.1109\/PACT.2017.13"},{"unstructured":"NVIDIA. 2022. Nsight Compute. https:\/\/docs.nvidia.com\/nsight-compute\/NsightCompute\/index.html.","key":"e_1_3_2_1_31_1"},{"unstructured":"NVIDIA. 2022. NVIDIA\/Cub. https:\/\/github.com\/NVIDIA\/cub.","key":"e_1_3_2_1_32_1"},{"unstructured":"Oracle Inc. 2021. Oracle Database. https:\/\/www.oracle.com\/database\/technologies\/","key":"e_1_3_2_1_33_1"},{"key":"e_1_3_2_1_34_1","volume-title":"Flat Combined Red Black Trees. arXiv:1912.11417 [cs] (Dec","author":"Sainz-Palacios Sergio","year":"2019","unstructured":"Sergio Sainz-Palacios. 2019. Flat Combined Red Black Trees. arXiv:1912.11417 [cs] (Dec. 2019). arXiv:1912.11417 [cs] http:\/\/arxiv.org\/abs\/1912.11417."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_35_1","DOI":"10.1145\/2882903.2882918"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_36_1","DOI":"10.5555\/1268299.1268300"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_37_1","DOI":"10.1145\/3297858.3304030"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_38_1","DOI":"10.1145\/3155284.3018752"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_39_1","DOI":"10.1109\/FPL.2016.7577355"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_40_1","DOI":"10.1145\/2581122.2544139"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_41_1","DOI":"10.1145\/3293883.3295704"},{"volume-title":"Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. In 2017 USENIX Annual Technical Conference (USENIX ATC 17)","author":"Zhang Hao","unstructured":"Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, and Eric P. Xing. 2017. Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. In 2017 USENIX Annual Technical Conference (USENIX ATC 17). USENIX Association, Santa Clara, CA, 181--193. https:\/\/www.usenix.org\/conference\/atc17\/technical-sessions\/presentation\/zhang","key":"e_1_3_2_1_42_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_43_1","DOI":"10.14778\/2809974.2809984"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_44_1","DOI":"10.1007\/s00778-017-0479-0"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_45_1","DOI":"10.1145\/3447786.3456237"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_46_1","DOI":"10.1109\/TSC.2019.2891517"}],"event":{"sponsor":["SIGPLAN ACM Special Interest Group on Programming Languages","SIGHPC ACM Special Interest Group on High Performance Computing, Special Interest Group on High Performance Computing"],"acronym":"PPoPP '23","name":"PPoPP '23: The 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming","location":"Montreal QC Canada"},"container-title":["Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3572848.3577474","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3572848.3577474","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:08:09Z","timestamp":1750183689000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3572848.3577474"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,21]]},"references-count":46,"alternative-id":["10.1145\/3572848.3577474","10.1145\/3572848"],"URL":"https:\/\/doi.org\/10.1145\/3572848.3577474","relation":{},"subject":[],"published":{"date-parts":[[2023,2,21]]},"assertion":[{"value":"2023-02-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}