{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,26]],"date-time":"2025-11-26T16:37:58Z","timestamp":1764175078726,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":8,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,9,30]],"date-time":"2021-09-30T00:00:00Z","timestamp":1632960000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000185","name":"Defense Advanced Research Projects Agency","doi-asserted-by":"publisher","award":["FA8650-18-2-7860"],"award-info":[{"award-number":["FA8650-18-2-7860"]}],"id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,9,30]]},"DOI":"10.1145\/3477244.3477618","type":"proceedings-article","created":{"date-parts":[[2021,9,30]],"date-time":"2021-09-30T17:06:05Z","timestamp":1633021565000},"page":"37-38","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Performance analysis and optimization of decision tree classifiers on embedded devices"],"prefix":"10.1145","author":[{"given":"Anish","family":"Krishnakumar","sequence":"first","affiliation":[{"name":"University of Wisconsin-Madison"}]},{"given":"Umit Y.","family":"Ogras","sequence":"additional","affiliation":[{"name":"University of Wisconsin-Madison"}]}],"member":"320","published-online":{"date-parts":[[2021,9,30]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2020.3012861"},{"key":"e_1_3_2_1_2_1","first-page":"2849","volume-title":"Fixed Point Quantization of Deep Convolutional Networks. In Intl. Conf. on Machine Learning","author":"Lin D.","year":"2016","unstructured":"D. Lin , S. Talathi , and S. Annapureddy . Fixed Point Quantization of Deep Convolutional Networks. In Intl. Conf. on Machine Learning , pages 2849 -- 2858 , 2016 . D. Lin, S. Talathi, and S. Annapureddy. Fixed Point Quantization of Deep Convolutional Networks. In Intl. Conf. on Machine Learning, pages 2849--2858, 2016."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPSW.2013.207"},{"key":"e_1_3_2_1_4_1","unstructured":"D. Morawiec. sklearn-porter. Transpile Trained Scikit-learn Estimators to C Java JavaScript and others.  D. Morawiec. sklearn-porter. Transpile Trained Scikit-learn Estimators to C Java JavaScript and others."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"issue":"1","key":"e_1_3_2_1_6_1","first-page":"63","article-title":"HiLITE","volume":"19","author":"Sartor A. L.","year":"2020","unstructured":"A. L. Sartor HiLITE : Hierarchical and Lightweight Imitation Learning For Power Management Of Embedded SoCs. IEEE CAL , 19 ( 1 ): 63 -- 67 , 2020 . A. L. Sartor et al. HiLITE: Hierarchical and Lightweight Imitation Learning For Power Management Of Embedded SoCs. IEEE CAL, 19(1):63--67, 2020.","journal-title":"IEEE CAL"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/SISY.2015.7325359"},{"key":"e_1_3_2_1_8_1","first-page":"225","volume-title":"IEEE Intl. Symp. on Performance Analysis of Systems and Software","author":"Tan X.","year":"2016","unstructured":"X. Tan Performance Analysis of a Hardware Accelerator of Dependence Management for Task-based Dataflow Programming Models . In IEEE Intl. Symp. on Performance Analysis of Systems and Software , pages 225 -- 234 , 2016 . X. Tan et al. Performance Analysis of a Hardware Accelerator of Dependence Management for Task-based Dataflow Programming Models. In IEEE Intl. Symp. on Performance Analysis of Systems and Software, pages 225--234, 2016."}],"event":{"name":"ESWEEK '21: Seventeenth Embedded Systems Week","sponsor":["SIGBED ACM Special Interest Group on Embedded Systems","SIGDA ACM Special Interest Group on Design Automation","SIGMICRO ACM Special Interest Group on Microarchitectural Research and Processing","IEEE CAS","IEEE Council on Electronic Design Automation (CEDA)"],"location":"Virtual Event","acronym":"ESWEEK '21"},"container-title":["Proceedings of the 2021 International Conference on Embedded Software"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3477244.3477618","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3477244.3477618","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3477244.3477618","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:18:32Z","timestamp":1750191512000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3477244.3477618"}},"subtitle":["work-in-progress"],"short-title":[],"issued":{"date-parts":[[2021,9,30]]},"references-count":8,"alternative-id":["10.1145\/3477244.3477618","10.1145\/3477244"],"URL":"https:\/\/doi.org\/10.1145\/3477244.3477618","relation":{},"subject":[],"published":{"date-parts":[[2021,9,30]]},"assertion":[{"value":"2021-09-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}