{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T16:37:19Z","timestamp":1772642239108,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":48,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,27]],"date-time":"2024-10-27T00:00:00Z","timestamp":1729987200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,27]]},"DOI":"10.1145\/3676536.3676798","type":"proceedings-article","created":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T12:53:56Z","timestamp":1744203236000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["MARCA: Mamba Accelerator with Reconfigurable Architecture"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-4286-6359","authenticated-orcid":false,"given":"Jinhao","family":"Li","sequence":"first","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2012-8540","authenticated-orcid":false,"given":"Shan","family":"Huang","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-7000-6537","authenticated-orcid":false,"given":"Jiaming","family":"Xu","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University & Infinigence-AI, shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8280-9072","authenticated-orcid":false,"given":"Jun","family":"Liu","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0582-4503","authenticated-orcid":false,"given":"Li","family":"Ding","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-6809-7694","authenticated-orcid":false,"given":"Ningyi","family":"Xu","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0849-3252","authenticated-orcid":false,"given":"Guohao","family":"Dai","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University & Infinigence-AI, Shanghai, China"}]}],"member":"320","published-online":{"date-parts":[[2025,4,9]]},"reference":[{"key":"e_1_3_2_1_1_1","series-title":"Course Notes 19","volume-title":"The Einstein summation notation. An Introduction to Physically Based Modeling","author":"Barr Alan H","year":"1991","unstructured":"Alan H Barr. 1991. The Einstein summation notation. An Introduction to Physically Based Modeling (Course Notes 19), pages E 1 (1991), 57."},{"key":"e_1_3_2_1_2_1","volume-title":"Graph Mamba: Towards Learning on Graphs with State Space Models. arXiv preprint arXiv:2402.08678","author":"Behrouz Ali","year":"2024","unstructured":"Ali Behrouz and Farnoosh Hashemi. 2024. Graph Mamba: Towards Learning on Graphs with State Space Models. arXiv preprint arXiv:2402.08678 (2024)."},{"key":"e_1_3_2_1_3_1","volume-title":"Piqa: Reasoning about physical commonsense in natural language. In AAAI.","author":"Bisk Yonatan","year":"2020","unstructured":"Yonatan Bisk, Rowan Zellers, et al. 2020. Piqa: Reasoning about physical commonsense in natural language. In AAAI."},{"key":"e_1_3_2_1_4_1","unstructured":"Rishi Bommasani Drew A Hudson Ehsan Adeli Russ Altman Simran Arora Sydney von Arx Michael S Bernstein Jeannette Bohg Antoine Bosselut Emma Brunskill et al. 2021. On the opportunities and risks of foundation models. arXiv preprint arXiv:2108.07258 (2021)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2021.3061394"},{"key":"e_1_3_2_1_6_1","unstructured":"Peter Clark Isaac Cowhey et al. 2018. Think you have solved question answering? try arc the ai2 reasoning challenge. arXiv preprint arXiv:1803.05457 (2018)."},{"key":"e_1_3_2_1_7_1","unstructured":"Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly et al. 2020. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)."},{"key":"e_1_3_2_1_8_1","volume-title":"Sigmoid-weighted linear units for neural network function approximation in reinforcement learning. Neural networks 107","author":"Elfwing Stefan","year":"2018","unstructured":"Stefan Elfwing, Eiji Uchibe, and Kenji Doya. 2018. Sigmoid-weighted linear units for neural network function approximation in reinforcement learning. Neural networks 107 (2018), 3--11."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.1976.308294"},{"key":"e_1_3_2_1_10_1","volume-title":"Mamba: Linear-time sequence modeling with selective state spaces. arXiv preprint arXiv:2312.00752","author":"Gu Albert","year":"2023","unstructured":"Albert Gu and Tri Dao. 2023. Mamba: Linear-time sequence modeling with selective state spaces. arXiv preprint arXiv:2312.00752 (2023)."},{"key":"e_1_3_2_1_11_1","first-page":"35971","article-title":"On the parameterization and initialization of diagonal state space models","volume":"35","author":"Gu Albert","year":"2022","unstructured":"Albert Gu, Karan Goel, Ankit Gupta, and Christopher R\u00e9. 2022. On the parameterization and initialization of diagonal state space models. Advances in Neural Information Processing Systems 35 (2022), 35971--35983.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_12_1","volume-title":"Efficiently modeling long sequences with structured state spaces. arXiv preprint arXiv:2111.00396","author":"Gu Albert","year":"2021","unstructured":"Albert Gu, Karan Goel, and Christopher R\u00e9. 2021. Efficiently modeling long sequences with structured state spaces. arXiv preprint arXiv:2111.00396 (2021)."},{"key":"e_1_3_2_1_13_1","volume-title":"Combining recurrent, convolutional, and continuous-time models with linear state space layers. Advances in neural information processing systems 34","author":"Gu Albert","year":"2021","unstructured":"Albert Gu, Isys Johnson, Karan Goel, Khaled Saab, Tri Dao, Atri Rudra, and Christopher R\u00e9. 2021. Combining recurrent, convolutional, and continuous-time models with linear state space layers. Advances in neural information processing systems 34 (2021), 572--585."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_15_1","unstructured":"INTEL. 2024. Intel Xeon Platinum 8358P Processor. https:\/\/www.intel.com\/content\/www\/us\/en\/products\/sku\/212308\/intel-xeon-platinum-8358p-processor-48m-cache-2-60-ghz\/specifications.html."},{"key":"e_1_3_2_1_16_1","volume-title":"STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model. arXiv preprint arXiv:2403.12418","author":"Li Lincan","year":"2024","unstructured":"Lincan Li, Hanchen Wang, Wenjie Zhang, and Adelle Coster. 2024. STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model. arXiv preprint arXiv:2403.12418 (2024)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3293883.3295734"},{"key":"e_1_3_2_1_18_1","volume-title":"PointMamba: A Simple State Space Model for Point Cloud Analysis. arXiv preprint arXiv:2402.10739","author":"Liang Dingkang","year":"2024","unstructured":"Dingkang Liang, Xin Zhou, Xinyu Wang, Xingkui Zhu, Wei Xu, Zhikang Zou, Xiaoqing Ye, and Xiang Bai. 2024. PointMamba: A Simple State Space Model for Point Cloud Analysis. arXiv preprint arXiv:2402.10739 (2024)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD57390.2023.10323775"},{"key":"e_1_3_2_1_20_1","volume-title":"Point mamba: A novel point cloud backbone based on state space model with octree-based ordering strategy. arXiv preprint arXiv:2403.06467","author":"Liu Jiuming","year":"2024","unstructured":"Jiuming Liu, Ruiji Yu, Yian Wang, Yu Zheng, Tianchen Deng, Weicai Ye, and Hesheng Wang. 2024. Point mamba: A novel point cloud backbone based on state space model with octree-based ordering strategy. arXiv preprint arXiv:2403.06467 (2024)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/SOCC49529.2020.9524802"},{"key":"e_1_3_2_1_22_1","volume-title":"F Nisa Bostanc\u0131, Ataberk Olgun, A Giray Ya, Onur Mutlu, et al.","author":"Luo Haocong","year":"2023","unstructured":"Haocong Luo, Yahya Can Tu, F Nisa Bostanc\u0131, Ataberk Olgun, A Giray Ya, Onur Mutlu, et al. 2023. Ramulator 2.0: A Modern, Modular, and Extensible DRAM Simulator. IEEE Computer Architecture Letters (2023)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-020-10073-7"},{"key":"e_1_3_2_1_24_1","volume-title":"Erwin Laure, Ivy Bo Peng, and Jeffrey S Vetter.","author":"Markidis Stefano","year":"2018","unstructured":"Stefano Markidis, Steven Wei Der Chien, Erwin Laure, Ivy Bo Peng, and Jeffrey S Vetter. 2018. Nvidia tensor core programmability, performance & precision. In 2018 IEEE international parallel and distributed processing symposium workshops (IPDPSW). IEEE, 522--531."},{"key":"e_1_3_2_1_25_1","unstructured":"Stephen Merity Caiming Xiong et al. 2016. Pointer sentinel mixture models. arXiv preprint arXiv:1609.07843 (2016)."},{"key":"e_1_3_2_1_26_1","volume-title":"Introducing LLaMA: A foundational, 65-billion-parameter large language model. Meta AI","author":"Meta AI","year":"2023","unstructured":"AI Meta. 2023. Introducing LLaMA: A foundational, 65-billion-parameter large language model. Meta AI (2023)."},{"key":"e_1_3_2_1_27_1","volume-title":"Transformer for graphs: An overview from architecture perspective. arXiv preprint arXiv:2202.08455","author":"Min Erxue","year":"2022","unstructured":"Erxue Min, Runfa Chen, Yatao Bian, Tingyang Xu, Kangfei Zhao, Wenbing Huang, Peilin Zhao, Junzhou Huang, Sophia Ananiadou, and Yu Rong. 2022. Transformer for graphs: An overview from architecture perspective. arXiv preprint arXiv:2202.08455 (2022)."},{"key":"e_1_3_2_1_28_1","volume-title":"A tool to model large caches. HP laboratories 27","author":"Muralimanohar Naveen","year":"2009","unstructured":"Naveen Muralimanohar, Rajeev Balasubramonian, and Norman P Jouppi. 2009. CACTI 6.0: A tool to model large caches. HP laboratories 27 (2009), 28."},{"key":"e_1_3_2_1_29_1","volume-title":"Rakesh Gangarajaiah, and Erik Hertz.","author":"Nilsson Peter","year":"2014","unstructured":"Peter Nilsson, Ateeq Ur Rahman Shaik, Rakesh Gangarajaiah, and Erik Hertz. 2014. Hardware implementation of the exponential function using Taylor series. In 2014 NORCHIP. IEEE, 1--4."},{"key":"e_1_3_2_1_30_1","unstructured":"NVIDIA. 2024. NVIDIA A100 Tensor Core GPU Architecture. https:\/\/images.nvidia.com\/aem-dam\/en-zz\/Solutions\/data-center\/nvidia-ampere-architecture-whitepaper.pdf."},{"key":"e_1_3_2_1_31_1","volume-title":"Memory forum workshop","author":"O'Connor Mike","unstructured":"Mike O'Connor. 2014. Highlights of the high-bandwidth memory (hbm) standard. In Memory forum workshop, Vol. 3."},{"key":"e_1_3_2_1_32_1","volume-title":"Raffaella Bernardi, Sandro Pezzelle, Marco Baroni, Gemma Boleda, and Raquel Fern\u00e1ndez.","author":"Paperno Denis","year":"2016","unstructured":"Denis Paperno, Germ\u00e1n Kruszewski, Angeliki Lazaridou, Quan Ngoc Pham, Raffaella Bernardi, Sandro Pezzelle, Marco Baroni, Gemma Boleda, and Raquel Fern\u00e1ndez. 2016. The LAMBADA dataset: Word prediction requiring a broad discourse context. arXiv preprint arXiv:1606.06031 (2016)."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2017.8050528"},{"key":"e_1_3_2_1_34_1","volume-title":"SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series. arXiv preprint arXiv:2403.15360","author":"Patro Badri N","year":"2024","unstructured":"Badri N Patro and Vijay S Agneeswaran. 2024. SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series. arXiv preprint arXiv:2403.15360 (2024)."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00387"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/DAC56929.2023.10247855"},{"key":"e_1_3_2_1_37_1","volume-title":"Ronan Le Bras, et al","author":"Sakaguchi Keisuke","year":"2021","unstructured":"Keisuke Sakaguchi, Ronan Le Bras, et al. 2021. Winogrande: An adversarial winograd schema challenge at scale. Commun. ACM (2021)."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1162\/089976699300016467"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.vlsi.2017.02.002"},{"key":"e_1_3_2_1_40_1","volume-title":"Attention is all you need. Advances in neural information processing systems 30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_41_1","volume-title":"Graph-mamba: Towards long-range graph sequence modeling with selective state spaces. arXiv preprint arXiv:2402.00789","author":"Wang Chloe","year":"2024","unstructured":"Chloe Wang, Oleksii Tsepa, Jun Ma, and Bo Wang. 2024. Graph-mamba: Towards long-range graph sequence modeling with selective state spaces. arXiv preprint arXiv:2402.00789 (2024)."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2022.3197489"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1016\/0005-1098(86)90066-X"},{"key":"e_1_3_2_1_44_1","volume-title":"Medmamba: Vision mamba for medical image classification. arXiv preprint arXiv:2403.03849","author":"Yue Yubiao","year":"2024","unstructured":"Yubiao Yue and Zhenzhang Li. 2024. Medmamba: Vision mamba for medical image classification. arXiv preprint arXiv:2403.03849 (2024)."},{"key":"e_1_3_2_1_45_1","volume-title":"Hellaswag: Can a machine really finish your sentence? arXiv preprint arXiv:1905.07830","author":"Zellers Rowan","year":"2019","unstructured":"Rowan Zellers, Ari Holtzman, et al. 2019. Hellaswag: Can a machine really finish your sentence? arXiv preprint arXiv:1905.07830 (2019)."},{"key":"e_1_3_2_1_46_1","volume-title":"Xi Victoria Lin, et al","author":"Zhang Susan","year":"2022","unstructured":"Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona Diab, Xian Li, Xi Victoria Lin, et al. 2022. Opt: Open pre-trained transformer language models. arXiv preprint arXiv:2205.01068 (2022)."},{"key":"e_1_3_2_1_47_1","volume-title":"Point Could Mamba: Point Cloud Learning via State Space Model. arXiv preprint arXiv:2403.00762","author":"Zhang Tao","year":"2024","unstructured":"Tao Zhang, Xiangtai Li, Haobo Yuan, Shunping Ji, and Shuicheng Yan. 2024. Point Could Mamba: Point Cloud Learning via State Space Model. arXiv preprint arXiv:2403.00762 (2024)."},{"key":"e_1_3_2_1_48_1","volume-title":"Vision mamba: Efficient visual representation learning with bidirectional state space model. arXiv preprint arXiv:2401.09417","author":"Zhu Lianghui","year":"2024","unstructured":"Lianghui Zhu, Bencheng Liao, Qian Zhang, Xinlong Wang, Wenyu Liu, and Xinggang Wang. 2024. Vision mamba: Efficient visual representation learning with bidirectional state space model. arXiv preprint arXiv:2401.09417 (2024)."}],"event":{"name":"ICCAD '24: 43rd IEEE\/ACM International Conference on Computer-Aided Design","location":"Newark Liberty International Airport Marriott New York NY USA","acronym":"ICCAD '24","sponsor":["SIGDA ACM Special Interest Group on Design Automation","IEEE CAS","IEEE CEDA","IEEE EDS"]},"container-title":["Proceedings of the 43rd IEEE\/ACM International Conference on Computer-Aided Design"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3676536.3676798","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3676536.3676798","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:44Z","timestamp":1750295924000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3676536.3676798"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,27]]},"references-count":48,"alternative-id":["10.1145\/3676536.3676798","10.1145\/3676536"],"URL":"https:\/\/doi.org\/10.1145\/3676536.3676798","relation":{},"subject":[],"published":{"date-parts":[[2024,10,27]]},"assertion":[{"value":"2025-04-09","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}