{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T09:18:29Z","timestamp":1780996709253,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["21A20151113068, 10077609, RS-2023-00302083"],"award-info":[{"award-number":["21A20151113068, 10077609, RS-2023-00302083"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014553","name":"Samsung Advanced Institute of Technology","doi-asserted-by":"publisher","award":["NPRC"],"award-info":[{"award-number":["NPRC"]}],"id":[{"id":"10.13039\/100014553","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,6,13]]},"DOI":"10.1145\/3735452.3735532","type":"proceedings-article","created":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T15:11:16Z","timestamp":1749827476000},"page":"16-27","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["ADaPS: Adaptive Data Partitioning to Parallelize CNN Inference on Resource-Constrained Hardware"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0560-4180","authenticated-orcid":false,"given":"Jaume","family":"Mateu Cuadrat","sequence":"first","affiliation":[{"name":"Seoul National University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6645-6161","authenticated-orcid":false,"given":"Bernhard","family":"Egger","sequence":"additional","affiliation":[{"name":"Seoul National University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,6,13]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"ONNX: Open Neural Network Exchange. https:\/\/github.com\/onnx\/onnx","author":"Bai Junjie","year":"2019","unstructured":"Junjie Bai, Fang Lu, and Ke Zhang. 2019. ONNX: Open Neural Network Exchange. https:\/\/github.com\/onnx\/onnx"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.54216\/JCIM.060102"},{"key":"e_1_3_2_2_3_1","volume-title":"Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward.. Artificial Intelligence Surgery, 2","author":"Elyan Eyad","year":"2022","unstructured":"Eyad Elyan, Pattaramon Vuttipittayamongkol, Pamela Johnston, Kyle Martin, Kyle McPherson, Chrisina Jayne, and Mostafa Kamal Sarker. 2022. Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward.. Artificial Intelligence Surgery, 2 (2022)."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/PACT.2019.00021"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_2_6_1","volume-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861.","author":"Howard Andrew G","year":"2017","unstructured":"Andrew G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam. 2017. Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM48880.2022.9796896"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(75)90019-3"},{"key":"e_1_3_2_2_9_1","volume-title":"Advances in Neural Information Processing Systems","author":"Krizhevsky Alex","unstructured":"Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton. 2012. ImageNet Classification with Deep Convolutional Neural Networks. In Advances in Neural Information Processing Systems, F. Pereira, C.J. Burges, L. Bottou, and K.Q. Weinberger (Eds.). 25, Curran Associates, Inc.."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/IPSN.2016.7460664"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2017.7927211"},{"key":"e_1_3_2_2_12_1","volume-title":"International Conference on the Economics of Grids, Clouds, Systems, and Services. 132\u2013140","author":"Cuadrat Jaume Mateu","year":"2022","unstructured":"Jaume Mateu Cuadrat, Daon Park, and Bernhard Egger. 2022. A Black-Box Graph Partitioner for Generalized Deep Neural Network Parallelization. In International Conference on the Economics of Grids, Clouds, Systems, and Services. 132\u2013140."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-60939-9_2"},{"key":"e_1_3_2_2_14_1","unstructured":"Niv Nayman Yonathan Aflalo Asaf Noy and Lihi Zelnik-Manor. 2021. HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search. arxiv:2102.11646."},{"key":"e_1_3_2_2_15_1","volume-title":"PyTorch: An Imperative Style","author":"Paszke Adam","unstructured":"Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019. PyTorch: An Imperative Style, High-Performance Deep Learning Library. In Advances in Neural Information Processing Systems 32. Curran Associates, Inc., 8024\u20138035. http:\/\/papers.neurips.cc\/paper\/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3234187"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(87)90004-X"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"crossref","unstructured":"Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov and Liang-Chieh Chen. 2019. MobileNetV2: Inverted Residuals and Linear Bottlenecks. arxiv:1801.04381.","DOI":"10.1109\/CVPR.2018.00474"},{"key":"e_1_3_2_2_19_1","unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10766-021-00712-3"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICACCS48705.2020.9074444"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2020.3042320"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3058532"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2018.2858384"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"}],"event":{"name":"LCTES '25: 26th ACM SIGPLAN\/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems","location":"Seoul Republic of Korea","acronym":"LCTES '25","sponsor":["SIGPLAN ACM Special Interest Group on Programming Languages","SIGBED ACM Special Interest Group on Embedded Systems"]},"container-title":["Proceedings of the 26th ACM SIGPLAN\/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3735452.3735532","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,16]],"date-time":"2025-07-16T07:13:05Z","timestamp":1752649985000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3735452.3735532"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,13]]},"references-count":26,"alternative-id":["10.1145\/3735452.3735532","10.1145\/3735452"],"URL":"https:\/\/doi.org\/10.1145\/3735452.3735532","relation":{},"subject":[],"published":{"date-parts":[[2025,6,13]]},"assertion":[{"value":"2025-06-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}