{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:17:34Z","timestamp":1750220254564,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,2,24]],"date-time":"2022-02-24T00:00:00Z","timestamp":1645660800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the Science and Technology Development Fund, Macau SAR","award":["0018\/2019\/AKP ,SKL-IOTSC(UM)-2021-2023"],"award-info":[{"award-number":["0018\/2019\/AKP ,SKL-IOTSC(UM)-2021-2023"]}]},{"name":"the Macao Young Scholar Program","award":["AM201909"],"award-info":[{"award-number":["AM201909"]}]},{"name":"the Natural Science Basic Research Plan in Shaanxi Province of China","award":["2020JQ-013, 2020JM-072"],"award-info":[{"award-number":["2020JQ-013, 2020JM-072"]}]},{"name":"the National Natural Science Foundation of China","award":["12002254"],"award-info":[{"award-number":["12002254"]}]},{"name":"the National Natural Science Foundation of China","award":["61976172"],"award-info":[{"award-number":["61976172"]}]},{"name":"the Zhuhai Science and Technology Innovation Bureau Zhuhai-Hong Kong-Macau Special Cooperation Project","award":["ZH22017002200001PWC"],"award-info":[{"award-number":["ZH22017002200001PWC"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,2,24]]},"DOI":"10.1145\/3523181.3523209","type":"proceedings-article","created":{"date-parts":[[2022,4,18]],"date-time":"2022-04-18T23:57:42Z","timestamp":1650326262000},"page":"194-202","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["A Task-Parallel and Reconfigurable FPGA-Based Hardware Implementation of Extreme Learning Machine"],"prefix":"10.1145","author":[{"given":"Hui","family":"Huang","sequence":"first","affiliation":[{"name":"School of Aerospace Engineering, Xi'an Jiaotong University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hai-Jun","family":"Rong","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhao-Xu","family":"Yang","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,4,18]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2011.2168604"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.03.013"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-011-0522-9"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2010.01.020"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2010.11.034"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.05.112"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2644865.2541967"},{"key":"e_1_3_2_1_8_1","first-page":"271","volume-title":"2021 31st International Conference on Field-Programmable Logic and Applications (FPL)","author":"Kavvousanos E.","unstructured":"E. Kavvousanos and V. Paliouras , 2021, Optimizing deep learning decoders for FPGA implementation,\u00a0in Proc . 2021 31st International Conference on Field-Programmable Logic and Applications (FPL) , pp. 271 - 272 . E. Kavvousanos and V. Paliouras, 2021, Optimizing deep learning decoders for FPGA implementation,\u00a0in Proc. 2021 31st International Conference on Field-Programmable Logic and Applications (FPL), pp. 271-272."},{"key":"e_1_3_2_1_9_1","first-page":"1","volume-title":"Proc. 2021 IEEE 3rd International Conference on AICAS","author":"Younes H.","unstructured":"H. Younes , A. Ibrahim , M. Rizk and M. Valle , 2021, Efficient FPGA implementation of approximate singular value decomposition based on shallow neural networks , in Proc. 2021 IEEE 3rd International Conference on AICAS , pp. 1 - 4 . H. Younes, A. Ibrahim, M. Rizk and M. Valle, 2021, Efficient FPGA implementation of approximate singular value decomposition based on shallow neural networks, in Proc. 2021 IEEE 3rd International Conference on AICAS, pp. 1-4."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-019-10165-y"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.11.045"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2899386"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"A. Kosuge Y. -C. Hsu M. Hamada and T. Kuroda 2022 A 0.61-\u03bcJ\/Frame pipelined wired-logic DNN processor in 16-nm FPGA using convolutional non-linear neural network \u00a0IEEE Open Journal of Circuits and Systems vol. 3 pp. 4-14.  A. Kosuge Y. -C. Hsu M. Hamada and T. Kuroda 2022 A 0.61-\u03bcJ\/Frame pipelined wired-logic DNN processor in 16-nm FPGA using convolutional non-linear neural network \u00a0IEEE Open Journal of Circuits and Systems vol. 3 pp. 4-14.","DOI":"10.1109\/OJCAS.2021.3137263"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/FPL53798.2021.00010"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.26599\/TST.2019.9010019"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.05.069"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2016.02.007"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2018.2878162"},{"volume-title":"Matrix computations","author":"Golub","key":"e_1_3_2_1_19_1","unstructured":"Golub G, Van Loan C. 1996 , Matrix computations . Johns Hopkins University Press , Baltimore, Maryland . Golub G, Van Loan C. 1996, Matrix computations. Johns Hopkins University Press, Baltimore, Maryland."},{"key":"e_1_3_2_1_20_1","unstructured":"Gander W. 1980 Algorithms for the QR-decomposition. Eidgenoessische Technische Hochschule Zurich Research Report no. 80-02 ed.  Gander W. 1980 Algorithms for the QR-decomposition. Eidgenoessische Technische Hochschule Zurich Research Report no. 80-02 ed."},{"volume-title":"Numerical methods for least squares problems","author":"A. Bj\u00f5rck","key":"e_1_3_2_1_21_1","unstructured":"A. Bj\u00f5rck 1996 , Numerical methods for least squares problems , Society for Industrial and Applied Mathematics, Philadelphia , Pennsylvania . A. Bj\u00f5rck 1996, Numerical methods for least squares problems, Society for Industrial and Applied Mathematics, Philadelphia, Pennsylvania."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICACI.2012.6463155"}],"event":{"name":"ASSE' 22: 2022 3rd Asia Service Sciences and Software Engineering Conference","acronym":"ASSE' 22","location":"Macau Macao"},"container-title":["2022 3rd Asia Service Sciences and Software Engineering Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3523181.3523209","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3523181.3523209","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:44Z","timestamp":1750188644000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3523181.3523209"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,24]]},"references-count":22,"alternative-id":["10.1145\/3523181.3523209","10.1145\/3523181"],"URL":"https:\/\/doi.org\/10.1145\/3523181.3523209","relation":{},"subject":[],"published":{"date-parts":[[2022,2,24]]},"assertion":[{"value":"2022-04-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}