{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T09:28:04Z","timestamp":1758274084463},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T00:00:00Z","timestamp":1705881600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T00:00:00Z","timestamp":1705881600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,22]]},"DOI":"10.1109\/asp-dac58780.2024.10473981","type":"proceedings-article","created":{"date-parts":[[2024,3,25]],"date-time":"2024-03-25T19:06:53Z","timestamp":1711393613000},"page":"884-889","source":"Crossref","is-referenced-by-count":1,"title":["TSTC: Enabling Efficient Training via Structured Sparse Tensor Compilation"],"prefix":"10.1109","author":[{"given":"Shiyuan","family":"Huang","sequence":"first","affiliation":[{"name":"Shanghai Jiao Tong University,China"}]},{"given":"Fangxin","family":"Liu","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,China"}]},{"given":"Tian","family":"Li","sequence":"additional","affiliation":[{"name":"Huawei Technologies Co. Ltd,China"}]},{"given":"Zongwu","family":"Wang","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,China"}]},{"given":"Haomin","family":"Li","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,China"}]},{"given":"Li","family":"Jiang","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00523"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2017.9"},{"key":"ref3","article-title":"Federated Learning For Mobile Keyboard Prediction","author":"Hard","year":"2019","journal-title":"arXiv1811.03604"},{"key":"ref4","first-page":"1379","article-title":"Dynamic network surgery for efficient dnns","author":"Guo","year":"2016","journal-title":"NIPS"},{"key":"ref5","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","author":"Han","year":"2015","journal-title":"NIPS"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.298"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00810"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref9","first-page":"3299","article-title":"meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting","author":"Sun","year":"2017","journal-title":"ICML"},{"key":"ref10","first-page":"2074","article-title":"Learning structured sparsity in deep neural networks","author":"Wen","year":"2016","journal-title":"NeurIPS"},{"key":"ref11","article-title":"Drawing early-bird tickets: Towards more efficient training of deep networks","author":"You","year":"2019","journal-title":"arXiv"},{"key":"ref12","article-title":"Pytorch: an imperative style, high-performance deep learning library","author":"Paszke","year":"2019","journal-title":"NeurIPS"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CGO.2019.8661185"},{"volume-title":"SPARSKIT: a basic tool kit for sparse matrix computations-Version 2","year":"1995","author":"Saad","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1583991.1584053"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2833179.2833183"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_19"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2021.3063265"},{"key":"ref19","article-title":"TVM: an automated end-to-end optimizing compiler for deep learning","author":"Chen","year":"2018","journal-title":"OSDI"},{"key":"ref20","article-title":"Glow: Graph lowering compiler techniques for neural networks","author":"Rotem","year":"2018","journal-title":"arXiv"},{"key":"ref21","article-title":"Intel ngraph: an intermediate representation, compiler, and executor for deep learning","author":"Cyphers","year":"2018","journal-title":"arXiv"},{"key":"ref22","article-title":"Tensor comprehensions: Framework-agnostic highperformance machine learning abstractions","author":"Vasilache","year":"2018","journal-title":"arXiv preprint arXiv:1802.04730"},{"volume-title":"NathanBell1-10-1000","year":"2011","key":"ref23"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.23919\/DATE51398.2021.9473965"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18074.2021.9586154"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3458744.3473352"}],"event":{"name":"2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC)","start":{"date-parts":[[2024,1,22]]},"location":"Incheon, Korea, Republic of","end":{"date-parts":[[2024,1,25]]}},"container-title":["2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10473777\/10473787\/10473981.pdf?arnumber=10473981","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T22:03:32Z","timestamp":1711490612000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10473981\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,22]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/asp-dac58780.2024.10473981","relation":{},"subject":[],"published":{"date-parts":[[2024,1,22]]}}}