{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T15:33:47Z","timestamp":1772724827272,"version":"3.50.1"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T00:00:00Z","timestamp":1743379200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T00:00:00Z","timestamp":1743379200000},"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":[[2025,3,31]]},"DOI":"10.23919\/date64628.2025.10993016","type":"proceedings-article","created":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T17:36:35Z","timestamp":1747848995000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["Tempus Core: Area-Power Efficient Temporal-Unary Convolution Core for Low-Precision Edge DLAs"],"prefix":"10.23919","author":[{"given":"Prabhu","family":"Vellaisamy","sequence":"first","affiliation":[{"name":"Carnegie Mellon University,ECE Department"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Harideep","family":"Nair","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University,ECE Department"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Kang","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University,ECE Department"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yichen","family":"Ni","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University,ECE Department"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoyang","family":"Fan","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University,ECE Department"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Qi","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University,ECE Department"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeff","family":"Chen","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University,ECE Department"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shawn","family":"Blanton","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University,ECE Department"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John Paul","family":"Shen","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University,ECE Department"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5555\/2999134.2999257"},{"key":"ref2","first-page":"795","article-title":"Sustainable ai: Environmental implications, challenges and opportunities","volume-title":"Proceedings of Machine Learning and Systems","volume":"4","author":"Wu","year":"2022"},{"key":"ref3","first-page":"1796","article-title":"Ultra-low precision 4-bit training of deep neural networks","volume":"33","author":"Sun","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref4","author":"Micikevicius","year":"2022","journal-title":"Fp8 formats for deep learning"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/HCS55958.2022.9895592"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00204"},{"key":"ref7","article-title":"Convolutional neural network with int4 optimization on xilinx devices","author":"Han","year":"2020","journal-title":"Xilinx White Paper, WP521"},{"key":"ref8","first-page":"112","article-title":"Trained quantization thresholds for accurate and efficient fixed-point inference of deep neural networks","volume-title":"Proceedings of Machine Learning and Systems","volume":"2","author":"Jain","year":"2020"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS46773.2023.10181357"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISVLSI59464.2023.10238524"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ISVLSI61997.2024.00126"},{"key":"ref12","journal-title":"Nvdla primer"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2018.00062"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19568-6_14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/567806.567807"},{"key":"ref16","author":"Jia","year":"2014","journal-title":"Learning semantic image representations at a large scale"},{"key":"ref17","author":"Park","year":"2022","journal-title":"Lut-gemm: Quantized matrix multiplication based on luts for efficient inference in large-scale generative language models"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18074.2021.9586216"},{"key":"ref19","first-page":"290","article-title":"A chipyard comparison of nvdla and gemmini","author":"Gonzalez","year":"2020","journal-title":"Berkeley, CA, USA, Tech. Rep. EE"},{"key":"ref20","year":"2008","journal-title":"Nangate freepdk45 open cell library"}],"event":{"name":"2025 Design, Automation & Test in Europe Conference (DATE)","location":"Lyon, France","start":{"date-parts":[[2025,3,31]]},"end":{"date-parts":[[2025,4,2]]}},"container-title":["2025 Design, Automation & Test in Europe Conference (DATE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10992638\/10992588\/10993016.pdf?arnumber=10993016","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,22]],"date-time":"2025-05-22T05:55:27Z","timestamp":1747893327000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10993016\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,31]]},"references-count":20,"URL":"https:\/\/doi.org\/10.23919\/date64628.2025.10993016","relation":{},"subject":[],"published":{"date-parts":[[2025,3,31]]}}}