{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T08:59:57Z","timestamp":1765357197475},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T00:00:00Z","timestamp":1655078400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T00:00:00Z","timestamp":1655078400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,13]]},"DOI":"10.1109\/aicas54282.2022.9869907","type":"proceedings-article","created":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T20:21:42Z","timestamp":1662409302000},"page":"122-125","source":"Crossref","is-referenced-by-count":4,"title":["AutoDeepHLS: Deep Neural Network High-level Synthesis using fixed-point precision"],"prefix":"10.1109","author":[{"given":"Mohammad","family":"Riazati","sequence":"first","affiliation":[{"name":"M&#x00E4;lardalen University,Heterogeneous Systems Research Group,V&#x00E4;steras,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masoud","family":"Daneshtalab","sequence":"additional","affiliation":[{"name":"M&#x00E4;lardalen University,Heterogeneous Systems Research Group,V&#x00E4;steras,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mikael","family":"Sjodin","sequence":"additional","affiliation":[{"name":"M&#x00E4;lardalen University,Heterogeneous Systems Research Group,V&#x00E4;steras,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bjorn","family":"Lisper","sequence":"additional","affiliation":[{"name":"M&#x00E4;lardalen University,Heterogeneous Systems Research Group,V&#x00E4;steras,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"gosha20777 keras2cpp","year":"0","key":"ref10"},{"year":"0","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1088\/2632-2153\/ac0ea1"},{"journal-title":"Ai transformer - keras to c code converter","year":"0","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA53966.2022.00060"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref16","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICECS49266.2020.9294881"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/FCCM.2016.22"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ISVLSI.2016.129"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2017.2785257"},{"key":"ref3","article-title":"Cnn2gate: Toward designing a general framework for implementation of convolutional neural networks on fpga","author":"ghaffari","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MCSE.2010.69"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.micpro.2020.102990"},{"journal-title":"Aljabr0 from-keras-to-c","year":"0","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/FCCM.2017.25"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2844093"},{"journal-title":"Dobiasd frugally-deep","year":"0","key":"ref9"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2847263.2847265"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2016.7783720"},{"journal-title":"The annotated ANSI C Standard American National Standard for Programming Languages-C ANSI\/ISO 9899&#x2013;1990","year":"1990","author":"schildt","key":"ref22"},{"journal-title":"Deep Learning with Keras","year":"2017","author":"gulli","key":"ref21"},{"journal-title":"Quantization aware training in TensorFlow","year":"0","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2211477"},{"journal-title":"Tensorflow - post-training quantization","year":"0","key":"ref25"}],"event":{"name":"2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","start":{"date-parts":[[2022,6,13]]},"location":"Incheon, Korea, Republic of","end":{"date-parts":[[2022,6,15]]}},"container-title":["2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9869844\/9869845\/09869907.pdf?arnumber=9869907","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T21:01:29Z","timestamp":1664226089000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9869907\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,13]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/aicas54282.2022.9869907","relation":{},"subject":[],"published":{"date-parts":[[2022,6,13]]}}}