{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T16:17:33Z","timestamp":1784996253279,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":8,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,9,21]],"date-time":"2023-09-21T00:00:00Z","timestamp":1695254400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Bundesministerium f\u00fcr Bildung und Forschung","award":["16ME0127"],"award-info":[{"award-number":["16ME0127"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,9,21]]},"DOI":"10.1145\/3615338.3618128","type":"proceedings-article","created":{"date-parts":[[2024,6,10]],"date-time":"2024-06-10T12:43:58Z","timestamp":1718023438000},"page":"32-36","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["MLonMCU: TinyML Benchmarking with Fast Retargeting"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1135-8070","authenticated-orcid":false,"given":"Philipp","family":"van Kempen","sequence":"first","affiliation":[{"name":"Chair of Electronic Design Automation, Technical University of Munich, Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6824-7638","authenticated-orcid":false,"given":"Rafael","family":"Stahl","sequence":"additional","affiliation":[{"name":"Chair of Electronic Design Automation, Technical University of Munich, Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0903-631X","authenticated-orcid":false,"given":"Daniel","family":"Mueller-Gritschneder","sequence":"additional","affiliation":[{"name":"Chair of Electronic Design Automation, Technical University of Munich, Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4431-7619","authenticated-orcid":false,"given":"Ulf","family":"Schlichtmann","sequence":"additional","affiliation":[{"name":"Chair of Electronic Design Automation, Technical University of Munich, Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,6,10]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Peter Torelli, Jeremy Holleman, Nat Jeffries, Csaba Kiraly, Pietro Montino, David Kanter, Sebastian Ahmed, Danilo Pau, et al.","author":"Banbury Colby","year":"2021","unstructured":"Colby Banbury, Vijay Janapa Reddi, Peter Torelli, Jeremy Holleman, Nat Jeffries, Csaba Kiraly, Pietro Montino, David Kanter, Sebastian Ahmed, Danilo Pau, et al. 2021. Mlperf tiny benchmark. arXiv preprint arXiv:2106.07597 (2021)."},{"key":"e_1_3_2_1_2_1","volume-title":"13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18)","author":"Chen Tianqi","year":"2018","unstructured":"Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Yan, Haichen Shen, Meghan Cowan, Leyuan Wang, Yuwei Hu, Luis Ceze, et al. 2018. {TVM}: An automated {End-to-End} optimizing compiler for deep learning. In 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18). 578--594."},{"key":"e_1_3_2_1_3_1","first-page":"800","article-title":"Tensorflow lite micro: Embedded machine learning for tinyml systems","volume":"3","author":"David Robert","year":"2021","unstructured":"Robert David, Jared Duke, Advait Jain, Vijay Janapa Reddi, Nat Jeffries, Jian Li, Nick Kreeger, Ian Nappier, Meghna Natraj, Tiezhen Wang, et al. 2021. Tensorflow lite micro: Embedded machine learning for tinyml systems. Proceedings of Machine Learning and Systems 3 (2021), 800--811.","journal-title":"Proceedings of Machine Learning and Systems"},{"key":"e_1_3_2_1_4_1","volume-title":"Cmsis-nn: Efficient neural network kernels for arm cortex-m cpus. arXiv preprint arXiv:1801.06601","author":"Lai Liangzhen","year":"2018","unstructured":"Liangzhen Lai, Naveen Suda, and Vikas Chandra. 2018. Cmsis-nn: Efficient neural network kernels for arm cortex-m cpus. arXiv preprint arXiv:1801.06601 (2018)."},{"key":"e_1_3_2_1_5_1","volume-title":"Third Workshop on Computer Architecture Research with RISC-V (CARRV)","volume":"1","author":"Louis Marcia Sahaya","year":"2019","unstructured":"Marcia Sahaya Louis, Zahra Azad, Leila Delshadtehrani, Suyog Gupta, Pete Warden, Vijay Janapa Reddi, and Ajay Joshi. 2019. Towards deep learning using tensorflow lite on risc-v. In Third Workshop on Computer Architecture Research with RISC-V (CARRV), Vol. 1. 6."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3130265.3138858"},{"key":"e_1_3_2_1_7_1","unstructured":"Rafael Stahl. 2021. \"Exploring Static Code Generation and SIMD-Acceleration for Machine Learning on RISC-V\" in in \"RISC-V Forum: Developer Tools & Tool Chains\". https:\/\/riscvforumdttc2021.sched.com\/event\/jGkT [Recording available: https:\/\/youtu.be\/NLGAjdVIzkk]."},{"key":"e_1_3_2_1_8_1","unstructured":"P. Warden and D. Situnayake. 2019. TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-low-power Microcontrollers. O'Reilly. https:\/\/books.google.de\/books?id=sB3mxQEACAAJ"}],"event":{"name":"CODAI '23: 2023 Workshop on Compilers, Deployment, and Tooling for Edge AI","location":"Hamburg Germany","acronym":"CODAI '23","sponsor":["SIGBED ACM Special Interest Group on Embedded Systems","SIGDA ACM Special Interest Group on Design Automation","SIGMICRO ACM Special Interest Group on Microarchitectural Research and Processing","CEDA","IEEE CAS"]},"container-title":["Proceedings of the 2023 Workshop on Compilers, Deployment, and Tooling for Edge AI"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3615338.3618128","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3615338.3618128","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:36:53Z","timestamp":1750178213000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3615338.3618128"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,21]]},"references-count":8,"alternative-id":["10.1145\/3615338.3618128","10.1145\/3615338"],"URL":"https:\/\/doi.org\/10.1145\/3615338.3618128","relation":{},"subject":[],"published":{"date-parts":[[2023,9,21]]},"assertion":[{"value":"2024-06-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}