{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T12:03:33Z","timestamp":1751717013469,"version":"3.28.0"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,11,11]],"date-time":"2022-11-11T00:00:00Z","timestamp":1668124800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,11]],"date-time":"2022-11-11T00:00:00Z","timestamp":1668124800000},"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":[[2022,11,11]]},"DOI":"10.1109\/apccas55924.2022.10090282","type":"proceedings-article","created":{"date-parts":[[2023,4,11]],"date-time":"2023-04-11T17:25:39Z","timestamp":1681233939000},"page":"546-550","source":"Crossref","is-referenced-by-count":2,"title":["FPGA Implementation of N-BEATS for Time Series Forecasting Using Block Minifloat Arithmetic"],"prefix":"10.1109","author":[{"given":"Wenjie","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Electrical and Information Engineering The University of Sydney,Computer Engineering Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoyan","family":"Qi","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering The University of Sydney,Computer Engineering Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Boland","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering The University of Sydney,Computer Engineering Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philip H.W.","family":"Leong","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering The University of Sydney,Computer Engineering Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1","article-title":"IEEE standard for floating-point arithmetic","volume-title":"IEEE Std 754\u20132019 (Revision of IEEE 754\u20132008)","year":"2019"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.5555\/3026877.3026899"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2847263.2847265"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3020078.3021745"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2017.2705069"},{"key":"ref6","first-page":"2285","article-title":"Compressing neural networks with the hashing trick","volume-title":"International conference on machine learning","author":"Chen","year":"2015"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00286"},{"journal-title":"Xilinx White Paper","article-title":"Convolutional neural network with INT4 optimization on Xilinx devices","year":"2020","key":"ref8"},{"key":"ref9","article-title":"Training deep neural networks with 8-bit floating point numbers","volume":"31","author":"Wang","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref10","article-title":"A block minifloat representation for training deep neural networks","volume-title":"International Conference on Learning Representations","author":"Fox","year":"2020"},{"volume-title":"High performance hardware for machine learning","year":"2015","author":"Dally","key":"ref11"},{"key":"ref12","article-title":"N-beats: Neural basis expansion analysis for interpretable time series forecasting","volume-title":"International Conference on Learning Representations","author":"Oreshkin","year":"2019"},{"key":"ref13","article-title":"A block floating point implementation for an n-point fft on the tms320c55x dsp","author":"Elam","year":"2003","journal-title":"Texas Instruments Application Report"},{"volume-title":"Computer arithmetic in theory and practice","year":"2014","author":"Kulisch","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3373087.3375296"},{"volume-title":"Introduction to quantization on pytorch","key":"ref16"}],"event":{"name":"2022 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","start":{"date-parts":[[2022,11,11]]},"location":"Shenzhen, China","end":{"date-parts":[[2022,11,13]]}},"container-title":["2022 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10090225\/10090247\/10090282.pdf?arnumber=10090282","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,3]],"date-time":"2024-03-03T11:30:27Z","timestamp":1709465427000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10090282\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,11]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/apccas55924.2022.10090282","relation":{},"subject":[],"published":{"date-parts":[[2022,11,11]]}}}