{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T22:57:01Z","timestamp":1781132221654,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":87,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,11,13]],"date-time":"2021-11-13T00:00:00Z","timestamp":1636761600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Semiconductor Research Corporation (SRC)","award":["2988.001"],"award-info":[{"award-number":["2988.001"]}]},{"name":"Department of the Navy, Office of Naval Research","award":["N00014-21-1-2225"],"award-info":[{"award-number":["N00014-21-1-2225"]}]},{"DOI":"10.13039\/100004351","name":"Cisco Systems","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004351","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,11,14]]},"DOI":"10.1145\/3458817.3480958","type":"proceedings-article","created":{"date-parts":[[2021,10,21]],"date-time":"2021-10-21T05:10:34Z","timestamp":1634793034000},"page":"1-15","source":"Crossref","is-referenced-by-count":63,"title":["Scalable edge-based hyperdimensional learning system with brain-like neural adaptation"],"prefix":"10.1145","author":[{"given":"Zhuowen","family":"Zou","sequence":"first","affiliation":[{"name":"Uiversity of California San Diegoa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yeseong","family":"Kim","sequence":"additional","affiliation":[{"name":"Daegu Gyeongbuk Institute of Science and Technology, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Farhad","family":"Imani","sequence":"additional","affiliation":[{"name":"University of Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haleh","family":"Alimohamadi","sequence":"additional","affiliation":[{"name":"Uiversity of California San Diegoa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rosario","family":"Cammarota","sequence":"additional","affiliation":[{"name":"Intel Labs"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohsen","family":"Imani","sequence":"additional","affiliation":[{"name":"University of California Irvine"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,11,13]]},"reference":[{"issue":"1","key":"e_1_3_2_2_1_1","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1109\/MCOM.001.1900103","article-title":"Toward an intelligent edge: wireless communication meets machine learning","volume":"58","author":"Zhu G.","year":"2020","journal-title":"IEEE Communications Magazine"},{"key":"e_1_3_2_2_2_1","volume-title":"In-edge ai: Intelligentizing mobile edge computing, caching and communication by federated learning,\" arXiv preprint arXiv:1809.07857","author":"Wang X.","year":"2018"},{"key":"e_1_3_2_2_3_1","first-page":"4424","volume-title":"Federated multi-task learning,\" in Advances in Neural Information Processing Systems","author":"Smith V.","year":"2017"},{"key":"e_1_3_2_2_4_1","volume-title":"How to backdoor federated learning,\" arXiv preprint arXiv:1807.00459","author":"Bagdasaryan E.","year":"2018"},{"issue":"4","key":"e_1_3_2_2_5_1","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1145\/3093336.3037698","article-title":"Neurosurgeon: Collaborative intelligence between the cloud and mobile edge","volume":"52","author":"Kang Y.","year":"2017","journal-title":"ACM SIGPLAN Notices"},{"issue":"1","key":"e_1_3_2_2_6_1","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1109\/JIOT.2017.2767608","article-title":"Future edge cloud and edge computing for internet of things applications","volume":"5","author":"Pan J.","year":"2017","journal-title":"IEEE Internet of Things Journal"},{"issue":"1","key":"e_1_3_2_2_7_1","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1109\/MNET.2018.1700202","article-title":"Learning iot in edge: Deep learning for the internet of things with edge computing","volume":"32","author":"Li H.","year":"2018","journal-title":"IEEE network"},{"issue":"12","key":"e_1_3_2_2_8_1","doi-asserted-by":"crossref","first-page":"2661","DOI":"10.1162\/NECO_a_00787","article-title":"Symbolic computation using cellular automata-based hyperdimensional computing","volume":"27","author":"Yilmaz O.","year":"2015","journal-title":"Neural computation"},{"issue":"2","key":"e_1_3_2_2_9_1","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1007\/s12559-009-9009-8","article-title":"Hyperdimensional computing: An introduction to computing in distributed representation with high-dimensional random vectors","volume":"1","author":"Kanerva P.","year":"2009","journal-title":"Cognitive Computation"},{"key":"e_1_3_2_2_10_1","volume-title":"Random indexing of text samples for latent semantic analysis,\" in Proceedings of the 22nd annual conference of the cognitive science society","author":"Kanerva P.","year":"2000"},{"key":"e_1_3_2_2_11_1","volume-title":"Stochd: Stochastic hyperdimensional system for efficient and robust learning from raw data,\" in IEEE\/ACM Design Automation Conference (DAC)","author":"Poduval P.","year":"2021"},{"key":"e_1_3_2_2_12_1","first-page":"445","volume-title":"2017 IEEE International Symposium on","author":"Imani M.","year":"2017"},{"key":"e_1_3_2_2_13_1","first-page":"492","volume-title":"Brain-inspired computing exploiting carbon nanotube fets and resistive ram: Hyperdimensional computing case study,\" in 2018 IEEE International Solid-State Circuits Conference-(ISSCC)","author":"Wu T. F.","year":"2018"},{"issue":"30","key":"e_1_3_2_2_14_1","doi-asserted-by":"crossref","first-page":"w6736","DOI":"10.1126\/scirobotics.aaw6736","article-title":"Learning sensorimotor control with neuromorphic sensors: Toward hyperdimensional active perception","volume":"4","author":"Mitrokhin A.","year":"2019","journal-title":"Science Robotics"},{"key":"e_1_3_2_2_15_1","volume-title":"H\u00e9rnandez-Cano et al., \"Reghd: Robust and efficient regression in hyper-dimensional learning system,\" in IEEE\/ACM Design Automation Conference (DAC)","author":"A.","year":"2021"},{"key":"e_1_3_2_2_16_1","volume-title":"Cognitive correlative encoding for genome sequence matching in hyperdimensional system,\" in IEEE\/ACM Design Automation Conference (DAC)","author":"Poduval P.","year":"2021"},{"key":"e_1_3_2_2_17_1","unstructured":"A. Mitrokhin P. Sutor D. Summers-Stay C. Ferm\u00fcller and Y. Aloimonos \"Symbolic representation and learning with hyperdimensional computing \"  A. Mitrokhin P. Sutor D. Summers-Stay C. Ferm\u00fcller and Y. Aloimonos \"Symbolic representation and learning with hyperdimensional computing \""},{"issue":"7","key":"e_1_3_2_2_18_1","doi-asserted-by":"crossref","first-page":"899","DOI":"10.1109\/LSP.2014.2320573","article-title":"Modeling dependencies in multiple parallel data streams with hyperdimensional computing","volume":"21","author":"R\u00e4s\u00e4nen O.","year":"2014","journal-title":"IEEE Signal Processing Letters"},{"issue":"99","key":"e_1_3_2_2_19_1","first-page":"1","article-title":"Sequence prediction with sparse distributed hyperdimensional coding applied to the analysis of mobile phone use patterns","author":"Rasanen O.","year":"2015","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"e_1_3_2_2_20_1","volume-title":"Language geometry using random indexing,\" Quantum Interaction 2016 Conference Proceedings","author":"Joshi A."},{"key":"e_1_3_2_2_21_1","unstructured":"S. Jockel \"Crossmodal learning and prediction of autobiographical episodic experiences using a sparse distributed memory \" 2010.  S. Jockel \"Crossmodal learning and prediction of autobiographical episodic experiences using a sparse distributed memory \" 2010."},{"key":"e_1_3_2_2_22_1","volume-title":"Classification using hyperdimensional computing: A review,\" arXiv preprint arXiv:2004.11204","author":"Ge L.","year":"2020"},{"key":"e_1_3_2_2_23_1","first-page":"16","volume-title":"2016 IEEE International","author":"Li H.","year":"2016"},{"key":"e_1_3_2_2_24_1","volume-title":"IEEE","author":"Poduval P.","year":"2021"},{"key":"e_1_3_2_2_25_1","first-page":"435","volume-title":"A framework for collaborative learning in secure high-dimensional space,\" in 2019 IEEE 12th International Conference on Cloud Computing (CLOUD)","author":"Imani M.","year":"2019"},{"key":"e_1_3_2_2_26_1","volume-title":"H\u00e9rnandez-Cano et al., \"Prid: Model inversion privacy attacks in hyperdimensional learning systems,\" in IEEE\/ACM Design Automation Conference (DAC)","author":"A.","year":"2021"},{"key":"e_1_3_2_2_27_1","first-page":"64","volume-title":"A robust and energy-efficient classifier using brain-inspired hyperdimensional computing,\" in Proceedings of the 2016 International Symposium on Low Power Electronics and Design","author":"Rahimi A.","year":"2016"},{"key":"e_1_3_2_2_28_1","first-page":"221","volume-title":"Revisiting hyperdimensional learning for fpga and low-power architectures,\" in 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA)","author":"Imani M.","year":"2021"},{"key":"e_1_3_2_2_29_1","first-page":"1","volume-title":"Bric: Locality-based encoding for energy-efficient brain-inspired hyperdimensional computing,\" in Proceedings of the 56th Annual Design Automation Conference","author":"Imani M.","year":"2019"},{"issue":"5337","key":"e_1_3_2_2_30_1","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1126\/science.278.5337.412","article-title":"Life and death of neurons in the aging brain","volume":"278","author":"Morrison J. H.","year":"1997","journal-title":"Science"},{"issue":"6","key":"e_1_3_2_2_31_1","doi-asserted-by":"crossref","first-page":"1336","DOI":"10.1038\/emboj.2012.38","article-title":"Mitochondrial quality control: a matter of life and death for neurons","volume":"31","author":"Rugarli E. I.","year":"2012","journal-title":"The EMBO journal"},{"issue":"3","key":"e_1_3_2_2_32_1","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1016\/j.neuron.2013.10.037","article-title":"Neural stem cells: generating and regenerating the brain","volume":"80","author":"Gage F. H.","year":"2013","journal-title":"Neuron"},{"issue":"3","key":"e_1_3_2_2_33_1","doi-asserted-by":"crossref","first-page":"538","DOI":"10.1016\/j.stemcr.2017.01.014","article-title":"Direct generation of human neuronal cells from adult astrocytes by small molecules","volume":"8","author":"Gao L.","year":"2017","journal-title":"Stem cell reports"},{"issue":"2","key":"e_1_3_2_2_34_1","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1111\/j.1750-3639.1999.tb00229.x","article-title":"Nerve injury, axonal degeneration and neural regeneration: basic insights","volume":"9","author":"Stoll G.","year":"1999","journal-title":"Brain pathology"},{"key":"e_1_3_2_2_35_1","unstructured":"\"Number of new generated neurons every day Nicolas Toni.\" https:\/\/wp.unil.ch\/discoverunil\/2017\/06\/we-create-1500-new-neurons-every-day\/.  \"Number of new generated neurons every day Nicolas Toni.\" https:\/\/wp.unil.ch\/discoverunil\/2017\/06\/we-create-1500-new-neurons-every-day\/."},{"key":"e_1_3_2_2_36_1","volume-title":"Discovering the brain","author":"Ackerman S.","year":"1992"},{"key":"e_1_3_2_2_37_1","first-page":"850","volume-title":"Automation & Test in Europe Conference & Exhibition (DATE)","author":"Zou Z.","year":"2021"},{"key":"e_1_3_2_2_38_1","first-page":"1","volume-title":"Semihd: Semi-supervised learning using hyperdimensional computing,\" in 2019 IEEE\/ACM International Conference on Computer-Aided Design (ICCAD)","author":"Imani M.","year":"2019"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1007\/978-1-4471-1599-1_57","article-title":"Encoding structure in boolean space","volume":"98","author":"Kanerva P.","year":"1998","journal-title":"ICANN"},{"issue":"1","key":"e_1_3_2_2_40_1","first-page":"2","article-title":"Aging and the human neocortex","volume":"38","author":"Pakkenberg B.","year":"2003","journal-title":"Experimental gerontology"},{"issue":"3","key":"e_1_3_2_2_41_1","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1002\/cne.10884","article-title":"Aging of the human cerebellum: a stereological study","volume":"466","author":"Andersen B. B.","year":"2003","journal-title":"Journal of Comparative Neurology"},{"key":"e_1_3_2_2_42_1","first-page":"1177","volume-title":"Random features for large-scale kernel machines\" in Advances in neural information processing systems","author":"Rahimi A.","year":"2008"},{"issue":"11","key":"e_1_3_2_2_43_1","doi-asserted-by":"crossref","first-page":"2758","DOI":"10.1109\/78.650102","article-title":"Comparing support vector machines with gaussian kernels to radial basis function classifiers","volume":"45","author":"Scholkopf B.","year":"1997","journal-title":"IEEE transactions on Signal Processing"},{"issue":"2","key":"e_1_3_2_2_44_1","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1002\/cne.10714","article-title":"Marked loss of myelinated nerve fibers in the human brain with age","volume":"462","author":"Marner L.","year":"2003","journal-title":"Journal of comparative neurology"},{"issue":"6","key":"e_1_3_2_2_45_1","doi-asserted-by":"crossref","first-page":"780","DOI":"10.1016\/j.stem.2018.11.006","article-title":"Does adult neurogenesis persist in the human hippocampus?","volume":"23","author":"Paredes M. F.","year":"2018","journal-title":"Cell Stem Cell"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1145\/3133956.3133982","volume-title":"Practical secure aggregation for privacy-preserving machine learning,\" in Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security","author":"Bonawitz K.","year":"2017"},{"key":"e_1_3_2_2_47_1","unstructured":"T. Feist \"Vivado design suite \" White Paper vol. 5 2012.  T. Feist \"Vivado design suite \" White Paper vol. 5 2012."},{"key":"e_1_3_2_2_48_1","volume-title":"ACM","author":"Salamat S.","year":"2019"},{"issue":"11","key":"e_1_3_2_2_49_1","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1109\/5.726791","article-title":"Gradient-based learning applied to document recognition","volume":"86","author":"LeCun Y.","year":"1998","journal-title":"Proceedings of the IEEE"},{"key":"e_1_3_2_2_50_1","first-page":"3642","volume-title":"2012 IEEE Conference on","author":"Ciregan D.","year":"2012"},{"key":"e_1_3_2_2_51_1","unstructured":"\"Uci machine learning repository.\" http:\/\/archive.ics.uci.edu\/ml\/datasets\/ISOLET.  \"Uci machine learning repository.\" http:\/\/archive.ics.uci.edu\/ml\/datasets\/ISOLET."},{"key":"e_1_3_2_2_52_1","first-page":"216","volume-title":"Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine,\" in International workshop on ambient assisted living","author":"Anguita D.","year":"2012"},{"key":"e_1_3_2_2_53_1","volume-title":"CVPR 2005. IEEE Computer Society Conference on, IEEE","author":"Angelova A.","year":"2005"},{"key":"e_1_3_2_2_54_1","unstructured":"\"Pecan street dataport.\" https:\/\/dataport.cloud\/.  \"Pecan street dataport.\" https:\/\/dataport.cloud\/."},{"key":"e_1_3_2_2_55_1","first-page":"108","volume-title":"2012 16th International Symposium on","author":"Reiss A.","year":"2012"},{"issue":"11","key":"e_1_3_2_2_56_1","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1145\/2934664","article-title":"Apache spark: a unified engine for big data processing","volume":"59","author":"Zaharia M.","year":"2016","journal-title":"Communications of the ACM"},{"key":"e_1_3_2_2_57_1","first-page":"683","volume-title":"2017 IEEE\/ACM International Conference on","author":"Kim Y.","year":"2017"},{"key":"e_1_3_2_2_58_1","volume-title":"Tensorflow: Large-scale machine learning on heterogeneous distributed systems,\" arXiv preprint arXiv:1603.04467","author":"Abadi M.","year":"2016"},{"key":"e_1_3_2_2_59_1","first-page":"2623","volume-title":"Optuna: A next-generation hyperparameter optimization framework,\" in Proceedings of the 25th ACMSIGKDD international conference on knowledge discovery & data mining","author":"Akiba T.","year":"2019"},{"key":"e_1_3_2_2_60_1","first-page":"2825","article-title":"Scikit-learn: Machine learning in python","volume":"12","author":"Pedregosa F.","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_2_61_1","first-page":"126","volume-title":"Automation & Test in Europe Conference & Exhibition (DATE)","author":"Imani M.","year":"2019"},{"key":"e_1_3_2_2_62_1","first-page":"1","volume-title":"2016 49th Annual IEEE\/ACM International Symposium on","author":"Sharma H.","year":"2016"},{"key":"e_1_3_2_2_63_1","first-page":"81","volume-title":"Fpdeep: Acceleration and load balancing of cnn training on fpga clusters,\" in 2018 IEEE 26th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)","author":"Geng T.","year":"2018"},{"key":"e_1_3_2_2_64_1","volume-title":"IEEE","author":"Lee S.-H.","year":"2016"},{"key":"e_1_3_2_2_65_1","first-page":"2D","volume-title":"Technology scaling on high-k & metal-gate finfet bti reliability,\" in 2013 IEEE International Reliability Physics Symposium (IRPS)","author":"Lee K. T.","year":"2013"},{"key":"e_1_3_2_2_66_1","first-page":"365","volume-title":"2011 38th Annual International Symposium on","author":"Esmaeilzadeh H.","year":"2011"},{"key":"e_1_3_2_2_67_1","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1109\/HotWeb.2015.22","volume-title":"Fog computing: Platform and applications,\" in 2015 Third IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb)","author":"Yi S.","year":"2015"},{"key":"e_1_3_2_2_68_1","first-page":"1","volume-title":"IEEE","author":"Tong L.","year":"2016"},{"issue":"5","key":"e_1_3_2_2_69_1","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1145\/2831347.2831354","article-title":"Edge-centric computing: Vision and challenges","volume":"45","author":"Garcia Lopez P.","year":"2015","journal-title":"ACM SIGCOMM Computer Communication Review"},{"key":"e_1_3_2_2_70_1","volume-title":"Edge-host partitioning of deep neural networks with feature space encoding for resource-constrained internet-of-things platforms,\" arXiv preprint arXiv:1802.03835","author":"Ko J. H.","year":"2018"},{"key":"e_1_3_2_2_71_1","first-page":"235","volume-title":"2016 IEEE First International Conference on","author":"Venkatesh J.","year":"2016"},{"issue":"1","key":"e_1_3_2_2_72_1","first-page":"31","article-title":"Rewriting complex queries from cloud to fog under capability constraints to protect the users' privacy","volume":"3","author":"Grunert H.","year":"2017","journal-title":"Open Journal of Internet Of Things (OJIOT)"},{"key":"e_1_3_2_2_73_1","unstructured":"\"Aws greengrass.\" https:\/\/aws.amazon.com\/greengrass\/.  \"Aws greengrass.\" https:\/\/aws.amazon.com\/greengrass\/."},{"issue":"1","key":"e_1_3_2_2_74_1","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.inffus.2011.08.001","article-title":"Multisensor data fusion: A review of the state-of-the-art","volume":"14","author":"Khaleghi B.","year":"2013","journal-title":"Information fusion"},{"issue":"5","key":"e_1_3_2_2_75_1","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1109\/JCN.2013.000083","article-title":"Compressive sensing: From theory to applications, a survey","volume":"15","author":"Qaisar S.","year":"2013","journal-title":"Journal of Communications and networks"},{"key":"e_1_3_2_2_76_1","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9781107298019","volume-title":"Understanding machine learning: From theory to algorithms","author":"Shalev-Shwartz S.","year":"2014"},{"key":"e_1_3_2_2_77_1","first-page":"2","volume-title":"Prototypes and mapping in concept space,\" in AAAI Fall Symposium: Quantum Informatics for Cognitive, Social, and Semantic Processes","author":"Kanerva P.","year":"2010"},{"key":"e_1_3_2_2_78_1","volume-title":"Random indexing of text samples for latent semantic analysis,\" in Proceedings of the 22nd annual conference of the cognitive science society","author":"Kanerva P.","year":"2000"},{"key":"e_1_3_2_2_79_1","first-page":"1859","volume-title":"Automation & Test in Europe Conference & Exhibition (DATE)","author":"A.","year":"2021"},{"key":"e_1_3_2_2_80_1","doi-asserted-by":"crossref","unstructured":"A. Burrello K. Schindler L. Benini and A. Rahimi \"One-shot learning for ieeg seizure detection using end-to-end binary operations: Local binary patterns with hyperdimensional computing \" in 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS) pp. 1--4 IEEE 2018.  A. Burrello K. Schindler L. Benini and A. Rahimi \"One-shot learning for ieeg seizure detection using end-to-end binary operations: Local binary patterns with hyperdimensional computing \" in 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS) pp. 1--4 IEEE 2018.","DOI":"10.1109\/BIOCAS.2018.8584751"},{"key":"e_1_3_2_2_81_1","first-page":"1","volume-title":"Classification and recall with binary hyperdimensional computing: Tradeoffs in choice of density and mapping characteristics,\" IEEE transactions on neural networks and learning systems, no. 99","author":"Kleyko D.","year":"2018"},{"key":"e_1_3_2_2_82_1","first-page":"1","volume-title":"Voicehd: Hyperdimensional computing for efficient speech recognition,\" in 2017 IEEE international conference on rebooting computing (ICRC)","author":"Imani M.","year":"2017"},{"key":"e_1_3_2_2_83_1","article-title":"Quanthd: A quantization framework for hyperdimensional computing","author":"Imani M.","year":"2019","journal-title":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"},{"key":"e_1_3_2_2_84_1","volume-title":"Solid-State Circuits Conference (ISSCC), IEEE","author":"Wu T.","year":"2018"},{"key":"e_1_3_2_2_85_1","first-page":"356","volume-title":"Dual: Acceleration of clustering algorithms using digital-based processing in-memory,\" in 2020 53rd Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO)","author":"Imani M.","year":"2020"},{"key":"e_1_3_2_2_86_1","first-page":"1","volume-title":"Mimhd: Accurate and efficient hyperdimensional inference using multi-bit in-memory computing,\" in 2021 IEEE\/ACM International Symposium on Low Power Electronics and Design (ISLPED)","author":"Kazemi A.","year":"2021"},{"issue":"10","key":"e_1_3_2_2_87_1","doi-asserted-by":"crossref","first-page":"2422","DOI":"10.1109\/TCAD.2019.2952544","article-title":"Searchd: A memory-centric hyperdimensional computing with stochastic training","volume":"39","author":"Imani M.","year":"2019","journal-title":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"}],"event":{"name":"SC '21: The International Conference for High Performance Computing, Networking, Storage and Analysis","location":"St. Louis Missouri","acronym":"SC '21","sponsor":["SIGHPC ACM Special Interest Group on High Performance Computing, Special Interest Group on High Performance Computing","IEEE CS"]},"container-title":["Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3458817.3480958","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3458817.3480958","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:22Z","timestamp":1750191142000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3458817.3480958"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,13]]},"references-count":87,"alternative-id":["10.1145\/3458817.3480958","10.1145\/3458817"],"URL":"https:\/\/doi.org\/10.1145\/3458817.3480958","relation":{},"subject":[],"published":{"date-parts":[[2021,11,13]]}}}