{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T00:05:19Z","timestamp":1780445119020,"version":"3.54.1"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"NSF","award":["CMMI-2038625"],"award-info":[{"award-number":["CMMI-2038625"]}]},{"name":"NSF","award":["CCF-2106725"],"award-info":[{"award-number":["CCF-2106725"]}]},{"name":"NSF","award":["CCF-2212346"],"award-info":[{"award-number":["CCF-2212346"]}]},{"name":"NSF","award":["2239945"],"award-info":[{"award-number":["2239945"]}]},{"DOI":"10.13039\/100000028","name":"Semiconductor Research Corporation","doi-asserted-by":"publisher","award":["GRC-CADT-3013.001"],"award-info":[{"award-number":["GRC-CADT-3013.001"]}],"id":[{"id":"10.13039\/100000028","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst."],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1109\/tcad.2024.3429419","type":"journal-article","created":{"date-parts":[[2024,7,16]],"date-time":"2024-07-16T13:25:47Z","timestamp":1721136347000},"page":"251-265","source":"Crossref","is-referenced-by-count":4,"title":["DiMO-CNN: Deep Learning Toolkit-Accelerated Analytical Modeling and Optimization of CNN Hardware and Dataflow"],"prefix":"10.1109","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7286-3444","authenticated-orcid":false,"given":"Jianfeng","family":"Song","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8626-2359","authenticated-orcid":false,"given":"Rongjian","family":"Liang","sequence":"additional","affiliation":[{"name":"Research Department, NVIDIA Corporation, Austin, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3978-2930","authenticated-orcid":false,"given":"Bo","family":"Yuan","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1157-7799","authenticated-orcid":false,"given":"Jiang","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"103","article-title":"GPipe: Efficient training of giant neural networks using pipeline parallelism","volume-title":"Proc. 33rd Int. Conf. Neural Inf. Process. Syst.","author":"Huang"},{"key":"ref2","first-page":"1","article-title":"GAMMA: Automating the HW mapping of DNN models on accelerators via genetic algorithm","volume-title":"Proc. IEEE\/ACM Int. Conf. Comput. Aided Design","author":"Kao"},{"key":"ref3","first-page":"3505","article-title":"Auto-NBA: Efficient and effective search over the joint space of networks, Bitwidths, and accelerators","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","author":"Fu"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ISPASS.2019.00042"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053977"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18072.2020.9218676"},{"key":"ref7","article-title":"Rethinking co-design of neural architectures and hardware accelerators","author":"Zhou","year":"2021","journal-title":"arXiv:2102.08619"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2016.2616357"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3173162.3173176"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080246"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2019.2931584"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA52012.2021.00050"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3134930"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3445814.3446762"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18074.2021.9586121"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18072.2020.9218596"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2020.2986127"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18072.2020.9218749"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ISLPED.2017.8009208"},{"key":"ref20","article-title":"Categorical Reparameterization with Gumbel-Softmax","author":"Jiang","year":"2017","journal-title":"arXiv:1611.01144"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2020.2985963"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/DAC.2018.8465940"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ISPASS51385.2021.00043"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA52012.2021.00090"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080254"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3352460.3358275"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2020.00667"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2020.3003843"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO50266.2020.00058"},{"key":"ref30","article-title":"Optimally scheduling CNN convolutions for efficient memory access","author":"Stoutchinin","year":"2019","journal-title":"arXiv:1902.01492"},{"key":"ref31","first-page":"525","article-title":"Multi-task learning as multi-objective optimization","volume-title":"Proc. 32nd Adv. Neural Inf. Process. Syst.","author":"Sener"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3604802"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2016.7783725"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3373376.3378514"},{"key":"ref35","first-page":"1","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. 33rd Adv. Neural Inf. Process. Syst.","author":"Paszke"}],"container-title":["IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/43\/10814105\/10599531-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/43\/10814105\/10599531.pdf?arnumber=10599531","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T18:43:03Z","timestamp":1763750583000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10599531\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":35,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tcad.2024.3429419","relation":{},"ISSN":["0278-0070","1937-4151"],"issn-type":[{"value":"0278-0070","type":"print"},{"value":"1937-4151","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1]]}}}