{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:14:15Z","timestamp":1750220055396,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,2,23]],"date-time":"2023-02-23T00:00:00Z","timestamp":1677110400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"R&D plan in key areas of Guangdong Province","award":["2021B0101190003"],"award-info":[{"award-number":["2021B0101190003"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,2,23]]},"DOI":"10.1145\/3587828.3587834","type":"proceedings-article","created":{"date-parts":[[2023,6,20]],"date-time":"2023-06-20T15:40:57Z","timestamp":1687275657000},"page":"34-40","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["GPU Sparse Matrix Vector Multiplication Optimization Based on ELLB Storage Format"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-0999-9429","authenticated-orcid":false,"given":"Haonan","family":"Chen","sequence":"first","affiliation":[{"name":"Guangdong University of Technology, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6479-5154","authenticated-orcid":false,"given":"Zhuowei","family":"Wang","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8213-041X","authenticated-orcid":false,"given":"Lianglun","family":"Cheng","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology, China"}]}],"member":"320","published-online":{"date-parts":[[2023,6,20]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1654059.1654078"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3226228"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/865221"},{"key":"e_1_3_2_1_4_1","volume-title":"Study on Efficient Storage Format of Sparse Matrix Based on GPU. Computer Engineering","author":"Cheng K.","year":"2018","unstructured":"K. Cheng , J. Tian , and M.\u00a0 A. Ruilin . 2018. Study on Efficient Storage Format of Sparse Matrix Based on GPU. Computer Engineering ( 2018 ). K. Cheng, J. Tian, and M.\u00a0A. Ruilin. 2018. Study on Efficient Storage Format of Sparse Matrix Based on GPU. Computer Engineering (2018)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"T.\u00a0A. Davis and Y. Hu. 2011. The university of Florida sparse matrix collection. ACM (2011).  T.\u00a0A. Davis and Y. Hu. 2011. The university of Florida sparse matrix collection. ACM (2011).","DOI":"10.1145\/2049662.2049663"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.4208\/cicp.OA-2016-0168"},{"key":"e_1_3_2_1_7_1","volume-title":"A Novel CSR-Based Sparse Matrix-Vector Multiplication on GPUs. Mathematical Problems in Engineering","author":"He Guixia","year":"2016","unstructured":"Guixia He and Jiaquan Gao . 2016. A Novel CSR-Based Sparse Matrix-Vector Multiplication on GPUs. Mathematical Problems in Engineering 2016 , pt.4 (2016), 1\u201312. Guixia He and Jiaquan Gao. 2016. A Novel CSR-Based Sparse Matrix-Vector Multiplication on GPUs. Mathematical Problems in Engineering 2016, pt.4 (2016), 1\u201312."},{"key":"e_1_3_2_1_8_1","volume-title":"ICCSIT","author":"Horvat D.","year":"2015","unstructured":"D. Horvat and Borut Alik . 2015 . Inclusion test for polyhedra using depth value comparisons on the GPU . In ICCSIT 2015. D. Horvat and Borut Alik. 2015. Inclusion test for polyhedra using depth value comparisons on the GPU. In ICCSIT 2015."},{"key":"e_1_3_2_1_9_1","first-page":"1","article-title":"Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems","volume":"75","author":"Imakura A.","year":"2016","unstructured":"A. Imakura and T. Sakurai . 2016 . Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems . Numerical Algorithms 75 , 2 (2016), 1 \u2013 21 . A. Imakura and T. Sakurai. 2016. Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems. Numerical Algorithms 75, 2 (2016), 1\u201321.","journal-title":"Numerical Algorithms"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"W. Liu and B. Vinter. 2015. CSR5: An Efficient Storage Format for Cross-Platform Sparse Matrix-Vector Multiplication. ACM (2015).  W. Liu and B. Vinter. 2015. CSR5: An Efficient Storage Format for Cross-Platform Sparse Matrix-Vector Multiplication. ACM (2015).","DOI":"10.1145\/2751205.2751209"},{"key":"e_1_3_2_1_11_1","unstructured":"G. Markall. [n. d.]. Accelerating Unstructured Mesh Computational Fluid Dynamics on the NVidia Tesla GPU Architecture. ([n. d.]).  G. Markall. [n. d.]. Accelerating Unstructured Mesh Computational Fluid Dynamics on the NVidia Tesla GPU Architecture. ([n. d.])."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.3390\/app9050947"},{"key":"e_1_3_2_1_13_1","first-page":"1","article-title":"Multi-GPU Acceleration of Algebraic Multi-Grid Preconditioners for Elliptic Field Problems. Magnetics","volume":"51","author":"Richter C.","year":"2015","unstructured":"C. Richter , S. Schops , and M. Clemens . 2015 . Multi-GPU Acceleration of Algebraic Multi-Grid Preconditioners for Elliptic Field Problems. Magnetics , IEEE Transactions on 51 , 3 (2015), 1 \u2013 4 . C. Richter, S. Schops, and M. Clemens. 2015. Multi-GPU Acceleration of Algebraic Multi-Grid Preconditioners for Elliptic Field Problems. Magnetics, IEEE Transactions on 51, 3 (2015), 1\u20134.","journal-title":"IEEE Transactions on"},{"key":"e_1_3_2_1_14_1","volume-title":"Electronic and Automation Control Conference (IAEAC).","author":"Sun X.","year":"2018","unstructured":"X. Sun , K.\u00a0 C. Wei , L.\u00a0 F. Lai , S.\u00a0 H. Tsai , and C.\u00a0 C. Wu . 2018 . Optimizing Sparse Matrix-Vector Multiplication on GPUs via Index Compression. In 2018 IEEE 3rd Advanced Information Technology , Electronic and Automation Control Conference (IAEAC). X. Sun, K.\u00a0C. Wei, L.\u00a0F. Lai, S.\u00a0H. Tsai, and C.\u00a0C. Wu. 2018. Optimizing Sparse Matrix-Vector Multiplication on GPUs via Index Compression. In 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cpc.2015.12.012"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2016.12.023"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcss.2017.09.010"}],"event":{"name":"ICSCA 2023: 2023 12th International Conference on Software and Computer Applications","acronym":"ICSCA 2023","location":"Kuantan Malaysia"},"container-title":["Proceedings of the 2023 12th International Conference on Software and Computer Applications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3587828.3587834","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3587828.3587834","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:08:27Z","timestamp":1750183707000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3587828.3587834"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,23]]},"references-count":17,"alternative-id":["10.1145\/3587828.3587834","10.1145\/3587828"],"URL":"https:\/\/doi.org\/10.1145\/3587828.3587834","relation":{},"subject":[],"published":{"date-parts":[[2023,2,23]]},"assertion":[{"value":"2023-06-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}