{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T09:19:24Z","timestamp":1773825564273,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100007601","name":"Horizon 2020","doi-asserted-by":"publisher","award":["780245"],"award-info":[{"award-number":["780245"]}],"id":[{"id":"10.13039\/501100007601","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Bundesministerium f\u00fcr Bildung und Forschung","award":["01IS18025A"],"award-info":[{"award-number":["01IS18025A"]}]},{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["MA4662-5"],"award-info":[{"award-number":["MA4662-5"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1145\/3329785.3329922","type":"proceedings-article","created":{"date-parts":[[2019,6,24]],"date-time":"2019-06-24T13:52:32Z","timestamp":1561384352000},"page":"1-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs"],"prefix":"10.1145","author":[{"given":"Viktor","family":"Rosenfeld","sequence":"first","affiliation":[{"name":"German Research Center for Artificial Intelligence"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sebastian","family":"Bre\u00df","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence and Technische Universit\u00e4t Berlin"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steffen","family":"Zeuch","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence and Technische Universit\u00e4t Berlin"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tilmann","family":"Rabl","sequence":"additional","affiliation":[{"name":"Hasso Plattner Institute, University of Potsdam amd Technische Universit\u00e4t Berlin"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Volker","family":"Markl","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence and Technische Universit\u00e4t Berlin"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,7]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2882936"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-018-0512-y"},{"key":"e_1_3_2_1_3_1","first-page":"339","volume-title":"Adaptive Aggregation on Chip Multiprocessors","author":"Cieslewicz J.","year":"2007","unstructured":"J. Cieslewicz and K. A. Ross . \" Adaptive Aggregation on Chip Multiprocessors \". In : VLDB. 2007 , pp. 339 -- 350 . J. Cieslewicz and K. A. Ross. \"Adaptive Aggregation on Chip Multiprocessors\". In: VLDB. 2007, pp. 339--350."},{"key":"e_1_3_2_1_4_1","volume-title":"Every Row Counts: Combining Sketches and Sampling for Accurate Group-By Result Estimates","author":"Freitag M. J.","year":"2019","unstructured":"M. J. Freitag and T. Neumann . \" Every Row Counts: Combining Sketches and Sampling for Accurate Group-By Result Estimates \". In : CIDR. 2019 . M. J. Freitag and T. Neumann. \"Every Row Counts: Combining Sketches and Sampling for Accurate Group-By Result Estimates\". In: CIDR. 2019."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3183734"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1620585.1620588"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.14778\/2536360.2536370"},{"key":"e_1_3_2_1_8_1","first-page":"13","article-title":"Optimizing GPU-accelerated Group-By and Aggregation","author":"Karnagel T.","year":"2015","unstructured":"T. Karnagel , R. Mueller , and G. M. Lohman . \" Optimizing GPU-accelerated Group-By and Aggregation \". In: ADMS@VLDB. 2015 , pp. 13 -- 24 . T. Karnagel, R. Mueller, and G. M. Lohman. \"Optimizing GPU-accelerated Group-By and Aggregation\". In: ADMS@VLDB. 2015, pp. 13--24.","journal-title":"ADMS@VLDB."},{"key":"e_1_3_2_1_9_1","volume-title":"The Art of Computer Programming: Sorting and Searching","author":"Knuth D. E.","year":"1998","unstructured":"D. E. Knuth . The Art of Computer Programming: Sorting and Searching . 2 nd ed. Vol. 3 . 1998 . D. E. Knuth. The Art of Computer Programming: Sorting and Searching. 2nd ed. Vol. 3. 1998.","edition":"2"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2747644"},{"key":"e_1_3_2_1_11_1","volume-title":"Quadro RTX 8000 Data Sheet. https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/design-visualization\/quadro-product-literature\/quadro-rtx-8000-us-nvidia-946977-r1-web.pdf (visited on: 2019\/03\/26)","author":"NVIDIA.","year":"2019","unstructured":"NVIDIA. Quadro RTX 8000 Data Sheet. https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/design-visualization\/quadro-product-literature\/quadro-rtx-8000-us-nvidia-946977-r1-web.pdf (visited on: 2019\/03\/26) . 2019 . NVIDIA. Quadro RTX 8000 Data Sheet. https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/design-visualization\/quadro-product-literature\/quadro-rtx-8000-us-nvidia-946977-r1-web.pdf (visited on: 2019\/03\/26). 2019."},{"key":"e_1_3_2_1_12_1","volume-title":"Tuning CUDA Applications for Maxwell. https:\/\/docs.nvidia.com\/cuda\/maxwell-tuning-guide\/ (visited on: 2019\/03\/26)","author":"NVIDIA.","year":"2017","unstructured":"NVIDIA. Tuning CUDA Applications for Maxwell. https:\/\/docs.nvidia.com\/cuda\/maxwell-tuning-guide\/ (visited on: 2019\/03\/26) . 2017 . NVIDIA. Tuning CUDA Applications for Maxwell. https:\/\/docs.nvidia.com\/cuda\/maxwell-tuning-guide\/ (visited on: 2019\/03\/26). 2017."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2915224"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.14778\/3007328.3007336"},{"key":"e_1_3_2_1_15_1","first-page":"1231","volume-title":"Micro Adaptivity in Vectorwise","author":"R\u0103ducanu B.","year":"2013","unstructured":"B. R\u0103ducanu , P. Boncz , and M. Zukowski . \" Micro Adaptivity in Vectorwise \". In : SIGMOD. 2013 , pp. 1231 -- 1242 . B. R\u0103ducanu, P. Boncz, and M. Zukowski. \"Micro Adaptivity in Vectorwise\". In: SIGMOD. 2013, pp. 1231--1242."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.14778\/2850583.2850585"},{"key":"e_1_3_2_1_17_1","first-page":"1","article-title":"The Operator Variant Selection Problem on Heterogeneous Hardware","author":"Rosenfeld V.","year":"2015","unstructured":"V. Rosenfeld \" The Operator Variant Selection Problem on Heterogeneous Hardware \". In: ADMS@VLDB. 2015 , pp. 1 -- 12 . V. Rosenfeld et al. \"The Operator Variant Selection Problem on Heterogeneous Hardware\". In: ADMS@VLDB. 2015, pp. 1--12.","journal-title":"ADMS@VLDB."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCSE.2010.69"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/1995441.1995442"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.14778\/2536206.2536210"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.14778\/3007328.3007332"}],"event":{"name":"SIGMOD\/PODS '19: International Conference on Management of Data","location":"Amsterdam Netherlands","acronym":"SIGMOD\/PODS '19","sponsor":["SIGMOD ACM Special Interest Group on Management of Data"]},"container-title":["Proceedings of the 15th International Workshop on Data Management on New Hardware"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3329785.3329922","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3329785.3329922","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:26:22Z","timestamp":1750206382000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3329785.3329922"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":21,"alternative-id":["10.1145\/3329785.3329922","10.1145\/3329785"],"URL":"https:\/\/doi.org\/10.1145\/3329785.3329922","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]},"assertion":[{"value":"2019-07-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}