{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T04:08:18Z","timestamp":1743134898339,"version":"3.40.3"},"reference-count":12,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T00:00:00Z","timestamp":1736553600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T00:00:00Z","timestamp":1736553600000},"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":[[2025,1,11]]},"DOI":"10.1109\/icce63647.2025.10930121","type":"proceedings-article","created":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T02:16:58Z","timestamp":1743041818000},"page":"1-4","source":"Crossref","is-referenced-by-count":0,"title":["Optimizing Layout Transformation in Deep Neural Networks Through Data Reuse in a Vector Processor"],"prefix":"10.1109","author":[{"given":"Suhong","family":"Lee","sequence":"first","affiliation":[{"name":"Seoul National University,Department of Electrical and Computer Engineering & ISRC,Seoul,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Boyeal","family":"Kim","sequence":"additional","affiliation":[{"name":"Seoul National University,Department of Electrical and Computer Engineering & ISRC,Seoul,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyuk-Jae","family":"Lee","sequence":"additional","affiliation":[{"name":"Seoul National University,Department of Electrical and Computer Engineering & ISRC,Seoul,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"265","article-title":"Tensorflow: a system for large-scale machine learning","volume-title":"Proceedings of the 12th USENIX Conference on Operating Systems Design and Implementation, ser. OSDI 16","author":"Abadi","year":"2016"},{"key":"ref2","first-page":"578","article-title":"{TVM}: An automated {End-to-End} optimizing compiler for deep learning","volume-title":"13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18)","author":"Chen","year":"2018"},{"key":"ref3","first-page":"800","article-title":"Tensorflow lite micro: Embedded machine learning for tinyml systems","volume-title":"Proceedings of Machine Learning and Systems","volume":"3","author":"David","year":"2021"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3579371.3589348"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3582016.3582018"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref7","first-page":"711","article-title":"Data movement is all you need: A case study on optimizing transformers","volume-title":"Proceedings of Machine Learning and Systems","volume":"3","author":"Ivanov","year":"2021"},{"key":"ref8","first-page":"1025","article-title":"Optimizing {CNN} model inference on {CPUs}","volume-title":"2019 USENIX Annual Technical Conference (USENIX ATC19)","author":"Liu","year":"2019"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2021.3058217"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-29662-x_2751"},{"key":"ref11","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proceedings of the 36th International Conference on Machine Learning, ser. Proceedings of Machine Learning Research","volume":"97","author":"Tan","year":"2019"},{"key":"ref12","article-title":"Optimizing memory-access patterns for deep learning accelerators","author":"Zheng","year":"2020","journal-title":"arXiv preprint"}],"event":{"name":"2025 IEEE International Conference on Consumer Electronics (ICCE)","start":{"date-parts":[[2025,1,11]]},"location":"Las Vegas, NV, USA","end":{"date-parts":[[2025,1,14]]}},"container-title":["2025 IEEE International Conference on Consumer Electronics (ICCE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10929765\/10929768\/10930121.pdf?arnumber=10930121","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T18:49:10Z","timestamp":1743101350000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10930121\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,11]]},"references-count":12,"URL":"https:\/\/doi.org\/10.1109\/icce63647.2025.10930121","relation":{},"subject":[],"published":{"date-parts":[[2025,1,11]]}}}