{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T23:36:25Z","timestamp":1771025785520,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T00:00:00Z","timestamp":1706659200000},"content-version":"vor","delay-in-days":380,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"US Department of Energy","award":["DE-SC0022014"],"award-info":[{"award-number":["DE-SC0022014"]}]},{"name":"US National Science Foundation","award":["1942697"],"award-info":[{"award-number":["1942697"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,1,16]]},"DOI":"10.1145\/3566097.3568359","type":"proceedings-article","created":{"date-parts":[[2023,1,31]],"date-time":"2023-01-31T18:40:49Z","timestamp":1675190449000},"page":"624-631","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Hardware-Software Co-Design for On-Chip Learning in AI Systems"],"prefix":"10.1145","author":[{"given":"M. L.","family":"Varshika","sequence":"first","affiliation":[{"name":"Drexel University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abhishek Kumar","family":"Mishra","sequence":"additional","affiliation":[{"name":"Drexel University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nagarajan","family":"Kandasamy","sequence":"additional","affiliation":[{"name":"Drexel University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anup","family":"Das","sequence":"additional","affiliation":[{"name":"Drexel University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,1,31]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2019.2951493"},{"key":"e_1_3_2_1_2_1","volume-title":"NeuSB: A scalable interconnect architecture for spiking neuromorphic hardware. arXiv","author":"Balaji Adarsha","year":"2023","unstructured":"Adarsha Balaji, Phu Huynh, Francky Catthoor, Nikil D. Dutt, Jeffrey Krichmar, and Anup Das. 2023. NeuSB: A scalable interconnect architecture for spiking neuromorphic hardware. arXiv (2023)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477145.3477156"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3299874.3319491"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2014.2313565"},{"key":"e_1_3_2_1_6_1","first-page":"89","article-title":"Neuromorphic computing using non-volatile memory","author":"Burr Geoffrey W.","year":"2017","unstructured":"Geoffrey W. Burr, Robert M. Shelby, Abu Sebastian, Sangbum Kim, Seyoung Kim, Severin Sidler, Kumar Virwani, Masatoshi Ishii, Pritish Narayanan, Alessandro Fumarola, Lucas L. Sanches, Irem Boybat, Manuel Le Gallo, Kibong Moon, Jiyoo Woo, Hyunsang Hwang, and Yusuf Leblebici. 2017. Neuromorphic computing using non-volatile memory. Advances in Physics: X 2, 1 (2017), 89--124.","journal-title":"Advances in Physics"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.neuro.31.060407.125639"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67723-1_13"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3444950.3444951"},{"key":"e_1_3_2_1_10_1","volume-title":"Long-term plasticity of intrinsic excitability: learning rules and mechanisms. Learning & Memory 10, 6","author":"Daoudal Ga\u00ebl","year":"2003","unstructured":"Ga\u00ebl Daoudal and Dominique Debanne. 2003. Long-term plasticity of intrinsic excitability: learning rules and mechanisms. Learning & Memory 10, 6 (2003)."},{"key":"e_1_3_2_1_11_1","volume-title":"Real-Time Scheduling of Machine Learning Operations on Heterogeneous Neuromorphic SoC. In International Symposium on Formal Methods and Models for System Design (MEMOCODE).","author":"Das Anup","year":"2022","unstructured":"Anup Das. 2022. Real-Time Scheduling of Machine Learning Operations on Heterogeneous Neuromorphic SoC. In International Symposium on Formal Methods and Models for System Design (MEMOCODE)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2544375.2544392"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.12.015"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2018.112130359"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2019.2903009"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2014.2304638"},{"key":"e_1_3_2_1_17_1","volume-title":"Spiking deep networks with LIF neurons. arXiv","author":"Hunsberger Eric","year":"2015","unstructured":"Eric Hunsberger and Chris Eliasmith. 2015. Spiking deep networks with LIF neurons. arXiv (2015)."},{"key":"e_1_3_2_1_18_1","volume-title":"Implementing spiking neural networks on neuromorphic architectures: A review. arXiv","author":"Huynh Phu Khanh","year":"2022","unstructured":"Phu Khanh Huynh, M Lakshmi Varshika, Ankita Paul, Murat Isik, Adarsha Balaji, and Anup Das. 2022. Implementing spiking neural networks on neuromorphic architectures: A review. arXiv (2022)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2016.7783724"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2010.5596372"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.12.005"},{"key":"e_1_3_2_1_22_1","volume-title":"Automation & Test in Europe Conference & Exhibition (DATE).","author":"Varshika M Lakshmi","year":"2022","unstructured":"M Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, and Francky Catthoor. 2022. Design of Many-Core Big Little &mu;Brain for Energy-Efficient Embedded Neuromorphic Computing. In Design, Automation & Test in Europe Conference & Exhibition (DATE)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2018.2881753"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1987.13876"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3192366.3192371"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASPDAC.2018.8297296"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.58356"},{"key":"e_1_3_2_1_28_1","volume-title":"Biologically Detailed Spiking Neural Network Simulation. In International Joint Conference on Neural Networks.","author":"Niedermeier Lars","year":"2022","unstructured":"Lars Niedermeier, Kexin Chen, Jinwei Xing, Anup Das, Jeffrey Kopsick, Eric Scott, Nate Sutton, Killian Weber, Nikil Dutt, and Jeffrey L Krichmar. 2022. CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation. In International Joint Conference on Neural Networks."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2015.00141"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2019.00095"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2013.00002"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/IEDM.2015.7409624"},{"key":"e_1_3_2_1_33_1","volume-title":"Design-Technology Co-Optimization for NVM-based Neuromorphic Processing Elements. ACM Transactions on Embedded Computing Systems (TECS)","author":"Song Shihao","year":"2022","unstructured":"Shihao Song, Adarsha Balaji, Anup Das, and Nagarajan Kandasamy. 2022. Design-Technology Co-Optimization for NVM-based Neuromorphic Processing Elements. ACM Transactions on Embedded Computing Systems (TECS) (2022)."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3372799.3394364"},{"key":"e_1_3_2_1_35_1","volume-title":"International Conference On Computer Aided Design (ICCAD). 1--9.","author":"Song Shihao","unstructured":"Shihao Song, Lakshmi Mirtinti, Anup Das, and N. Kandasamy. 2021. A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware. In International Conference On Computer Aided Design (ICCAD). 1--9."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2017.8050870"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.physiol.64.092501.114547"}],"event":{"name":"ASPDAC '23: 28th Asia and South Pacific Design Automation Conference","location":"Tokyo Japan","acronym":"ASPDAC '23","sponsor":["SIGDA ACM Special Interest Group on Design Automation","IEEE CEDA","IEICE","IEEE CAS","IPSJ"]},"container-title":["Proceedings of the 28th Asia and South Pacific Design Automation Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3566097.3568359","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3566097.3568359","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3566097.3568359","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T17:35:27Z","timestamp":1767807327000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3566097.3568359"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,16]]},"references-count":37,"alternative-id":["10.1145\/3566097.3568359","10.1145\/3566097"],"URL":"https:\/\/doi.org\/10.1145\/3566097.3568359","relation":{},"subject":[],"published":{"date-parts":[[2023,1,16]]},"assertion":[{"value":"2023-01-31","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}