{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T02:44:58Z","timestamp":1781837098459,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":27,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,7,10]],"date-time":"2022-07-10T00:00:00Z","timestamp":1657411200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","award":["N000142112332"],"award-info":[{"award-number":["N000142112332"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2113307, 1755825, 1908471, 2008339"],"award-info":[{"award-number":["2113307, 1755825, 1908471, 2008339"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006168","name":"National Nuclear Security Administration","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006168","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000185","name":"Defense Advanced Research Projects Agency","doi-asserted-by":"publisher","award":["HR00112020002"],"award-info":[{"award-number":["HR00112020002"]}],"id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,7,10]]},"DOI":"10.1145\/3489517.3530596","type":"proceedings-article","created":{"date-parts":[[2022,8,23]],"date-time":"2022-08-23T23:19:29Z","timestamp":1661296769000},"page":"1129-1134","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["PATH"],"prefix":"10.1145","author":[{"given":"Sven","family":"Thijssen","sequence":"first","affiliation":[{"name":"University of Central Florida"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sumit Kumar","family":"Jha","sequence":"additional","affiliation":[{"name":"University of Texas at San Antonio"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rickard","family":"Ewetz","sequence":"additional","affiliation":[{"name":"University of Central Florida"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,8,23]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"[n. d.]. CPLEX optimizer. https:\/\/www.ibm.com\/analytics\/cplex-optimizer"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2010.2070830"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/359576.359579"},{"key":"e_1_3_2_1_4_1","volume-title":"ICCAD'20","author":"Debjyoti","unstructured":"Debjyoti Bhattacharjee et al. 2020. CONTRA: area-constrained technology mapping framework for memristive memory processing unit. In ICCAD'20. 1--9."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics10070828"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/123186.123222"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1116\/1.3301579"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1002\/adma.201705914"},{"key":"e_1_3_2_1_9_1","unstructured":"Yiming Huai et al. 2008. Spin-transfer torque MRAM (STT-MRAM): Challenges and prospects. AAPPS bulletin 18 6 (2008) 33--40."},{"key":"e_1_3_2_1_10_1","first-page":"895","article-title":"MAGIC---Memristor-aided logic","volume":"61","author":"Shahar Kvatinsky","year":"2014","unstructured":"Shahar Kvatinsky et al. 2014. MAGIC---Memristor-aided logic. IEEE TCAS-II 61, 11 (2014), 895--899.","journal-title":"IEEE TCAS-II"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2012.6271792"},{"key":"e_1_3_2_1_12_1","volume-title":"DAC'90","unstructured":"Shin-ichi Minato et al. 1990. Shared binary decision diagram with attributed edges for efficient Boolean function manipulation. In DAC'90. IEEE, 52--57."},{"key":"e_1_3_2_1_13_1","first-page":"2923","article-title":"Deep learning for IoT big data and streaming analytics: A survey","volume":"20","author":"Mehdi Mohammadi","year":"2018","unstructured":"Mehdi Mohammadi et al. 2018. Deep learning for IoT big data and streaming analytics: A survey. COMST 20, 4 (2018), 2923--2960.","journal-title":"COMST"},{"key":"e_1_3_2_1_14_1","first-page":"89","article-title":"A spiking recurrent neural network with phase-change memory neurons and synapses for the accelerated solution of constraint satisfaction problems","volume":"6","author":"Giacomo Pedretti","year":"2020","unstructured":"Giacomo Pedretti et al. 2020. A spiking recurrent neural network with phase-change memory neurons and synapses for the accelerated solution of constraint satisfaction problems. JXCDC 6, 1 (2020), 89--97.","journal-title":"JXCDC"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mee.2020.111471"},{"key":"e_1_3_2_1_16_1","volume-title":"The digitization of the world from edge to core","author":"Reinsel-John David","year":"2018","unstructured":"David Reinsel-John Gantz-John Rydning. 2018. The digitization of the world from edge to core. Framingham: International Data Corporation (2018), 16."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001139"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/DDECS.2016.7482461"},{"key":"e_1_3_2_1_19_1","volume-title":"CUDD: CU decision diagram package-release 2.4. 0","author":"Somenzi Fabio","year":"2012","unstructured":"Fabio Somenzi. 2012. CUDD: CU decision diagram package-release 2.4. 0. University of Colorado at Boulder (2012)."},{"key":"e_1_3_2_1_20_1","volume-title":"Pipelayer: A pipelined reram-based accelerator for deep learning","author":"Linghao Song","year":"2017","unstructured":"Linghao Song et al. 2017. Pipelayer: A pipelined reram-based accelerator for deep learning. In HPCA. IEEE, 541--552."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2018.2792474"},{"key":"e_1_3_2_1_22_1","volume-title":"COMPACT: Flow-Based Computing on Nanoscale Crossbars with Minimal Semiperimeter","author":"Sven Thijssen","year":"2021","unstructured":"Sven Thijssen et al. 2021. COMPACT: Flow-Based Computing on Nanoscale Crossbars with Minimal Semiperimeter. In DATE. IEEE, 232--237."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/NANOARCH.2015.7180599"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00339-015-9208-y"},{"key":"e_1_3_2_1_25_1","volume-title":"ISMVL'08","author":"Robert","unstructured":"Robert Wille et al. 2008. RevLib: An online resource for reversible functions and reversible circuits. In ISMVL'08. IEEE, 220--225."},{"key":"e_1_3_2_1_26_1","volume-title":"HPCA'15","author":"Cong","unstructured":"Cong Xu et al. 2015. Overcoming the challenges of crossbar resistive memory architectures. In HPCA'15. IEEE, 476--488."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"crossref","unstructured":"Linlin Zhao et al. 2020. Advancing computer-aided drug discovery (CADD) by big data and data-driven machine learning modeling. Drug discovery today (2020).","DOI":"10.1016\/j.drudis.2020.07.005"}],"event":{"name":"DAC '22: 59th ACM\/IEEE Design Automation Conference","location":"San Francisco California","acronym":"DAC '22","sponsor":["SIGDA ACM Special Interest Group on Design Automation","IEEE CEDA"]},"container-title":["Proceedings of the 59th ACM\/IEEE Design Automation Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3489517.3530596","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3489517.3530596","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3489517.3530596","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:02:23Z","timestamp":1750186943000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3489517.3530596"}},"subtitle":["evaluation of boolean logic using path-based in-memory computing"],"short-title":[],"issued":{"date-parts":[[2022,7,10]]},"references-count":27,"alternative-id":["10.1145\/3489517.3530596","10.1145\/3489517"],"URL":"https:\/\/doi.org\/10.1145\/3489517.3530596","relation":{},"subject":[],"published":{"date-parts":[[2022,7,10]]},"assertion":[{"value":"2022-08-23","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}