{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T00:09:39Z","timestamp":1772064579457,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,7,15]],"date-time":"2018-07-15T00:00:00Z","timestamp":1531612800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100004100","name":"Labex","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004100","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004562","name":"Minist\u00e8re de l'Education Nationale, de l'Enseignement Superieur et de la Recherche","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004562","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,7,15]]},"DOI":"10.1145\/3229631.3235024","type":"proceedings-article","created":{"date-parts":[[2019,1,14]],"date-time":"2019-01-14T13:15:25Z","timestamp":1547471725000},"page":"157-160","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["The challenge of multi-operand adders in CNNs on FPGAs"],"prefix":"10.1145","author":[{"given":"Kamel","family":"Abdelouahab","sequence":"first","affiliation":[{"name":"Universite Clermont Auvergne, Clermont Ferrand, France"}]},{"given":"Maxime","family":"Pelcat","sequence":"additional","affiliation":[{"name":"Institut Pascal, INSA Rennes, Rennes, France"}]},{"given":"Francois","family":"Berry","sequence":"additional","affiliation":[{"name":"Universite Clermont Auvergne, Clermont Ferrand, France"}]}],"member":"320","published-online":{"date-parts":[[2018,7,15]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Tactics to Directly Map CNN graphs on Embedded FPGAs","author":"Abdelouahab Kamel","year":"2017","unstructured":"Kamel Abdelouahab , Maxime Pelcat , Jocelyn Serot , Cedric Bourrasset , and Francois Berry . 2017. Tactics to Directly Map CNN graphs on Embedded FPGAs . IEEE Embedded Systems Letters ( 2017 ), 1--4. Kamel Abdelouahab, Maxime Pelcat, Jocelyn Serot, Cedric Bourrasset, and Francois Berry. 2017. Tactics to Directly Map CNN graphs on Embedded FPGAs. IEEE Embedded Systems Letters (2017), 1--4."},{"key":"e_1_3_2_1_2_1","volume-title":"Proceedings of the International Conference on Machine Learning - ICML '15","author":"Gupta Suyog","year":"2015","unstructured":"Suyog Gupta , Ankur Agrawal , Pritish Narayanan , Kailash Gopalakrishnan , and Pritish Narayanan . 2015 . Deep Learning with Limited Numerical Precision . In Proceedings of the International Conference on Machine Learning - ICML '15 . 1737--1746. http:\/\/jmlr.org\/proceedings\/papers\/v37\/gupta15.pdf Suyog Gupta, Ankur Agrawal, Pritish Narayanan, Kailash Gopalakrishnan, and Pritish Narayanan. 2015. Deep Learning with Limited Numerical Precision. In Proceedings of the International Conference on Machine Learning - ICML '15. 1737--1746. http:\/\/jmlr.org\/proceedings\/papers\/v37\/gupta15.pdf"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_4_1","first-page":"4107","article-title":"Binarized neural networks","volume":"16","author":"Hubara Itay","year":"2016","unstructured":"Itay Hubara , Matthieu Courbariaux , Daniel Soudry , Ran El-Yaniv , and Yoshua Bengio . 2016 . Binarized neural networks . In Advances in Neural Information Processing Systems - NIPS' 16. 4107 -- 4115 . http:\/\/arxiv.org\/abs\/1602.02830 Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio. 2016. Binarized neural networks. In Advances in Neural Information Processing Systems - NIPS' 16. 4107--4115. http:\/\/arxiv.org\/abs\/1602.02830","journal-title":"Advances in Neural Information Processing Systems - NIPS'"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2742060.2743760"},{"key":"e_1_3_2_1_6_1","unstructured":"Alex Krizhevsky Ilya Sutskever Hinton Geoffrey E. and Geoffrey E Hinton. 2012. ImageNet Classification with Deep Convolutional Neural Networks. In Advances in Neural Information Processing Systems - NIPS'12. 1\u00e2\u0102\u015e9.   Alex Krizhevsky Ilya Sutskever Hinton Geoffrey E. and Geoffrey E Hinton. 2012. ImageNet Classification with Deep Convolutional Neural Networks. In Advances in Neural Information Processing Systems - NIPS'12. 1\u00e2\u0102\u015e9."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"e_1_3_2_1_8_1","volume-title":"ALAMO: FPGA acceleration of deep learning algorithms with a modularized RTL compiler. Integration (1","author":"Ma Yufei","year":"2018","unstructured":"Yufei Ma , Naveen Suda , Yu Cao , Sarma Vrudhula , and Jae-sun Seo. 2018 . ALAMO: FPGA acceleration of deep learning algorithms with a modularized RTL compiler. Integration (1 2018). Yufei Ma, Naveen Suda, Yu Cao, Sarma Vrudhula, and Jae-sun Seo. 2018. ALAMO: FPGA acceleration of deep learning algorithms with a modularized RTL compiler. Integration (1 2018)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2009.2027626"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3020078.3021740"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2847263.2847265"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_32"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1240233.1240234"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.521"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2684746.2689060"}],"event":{"name":"SAMOS XVIII: Architectures, Modeling, and Simulation","location":"Pythagorion Greece","acronym":"SAMOS XVIII"},"container-title":["Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3229631.3235024","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3229631.3235024","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:07:38Z","timestamp":1750212458000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3229631.3235024"}},"subtitle":["how not to solve it!"],"short-title":[],"issued":{"date-parts":[[2018,7,15]]},"references-count":15,"alternative-id":["10.1145\/3229631.3235024","10.1145\/3229631"],"URL":"https:\/\/doi.org\/10.1145\/3229631.3235024","relation":{},"subject":[],"published":{"date-parts":[[2018,7,15]]},"assertion":[{"value":"2018-07-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}