{"id":"https://openalex.org/W2809205380","doi":"https://doi.org/10.1145/3195970.3196029","title":"DrAcc","display_name":"DrAcc","publication_year":2018,"publication_date":"2018-06-19","ids":{"openalex":"https://openalex.org/W2809205380","doi":"https://doi.org/10.1145/3195970.3196029","mag":"2809205380"},"language":"en","primary_location":{"id":"doi:10.1145/3195970.3196029","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3195970.3196029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 55th Annual Design Automation Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012771136","display_name":"Quan Deng","orcid":"https://orcid.org/0000-0002-1454-8486"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Deng","raw_affiliation_strings":["National University of Defense Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103098320","display_name":"Lei Jiang","orcid":"https://orcid.org/0000-0003-4795-0284"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Jiang","raw_affiliation_strings":["Indiana University Bloomington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University Bloomington","institution_ids":["https://openalex.org/I4210119109"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026996875","display_name":"Youtao Zhang","orcid":"https://orcid.org/0000-0001-8425-8743"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Youtao Zhang","raw_affiliation_strings":["University of Pittsburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pittsburgh","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110908049","display_name":"Minxuan Zhang","orcid":"https://orcid.org/0009-0001-1340-6638"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minxuan Zhang","raw_affiliation_strings":["National University of Defense Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101605460","display_name":"Jun Yang","orcid":"https://orcid.org/0000-0001-8372-6541"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Yang","raw_affiliation_strings":["University of Pittsburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pittsburgh","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":111,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dram","display_name":"Dram","score":0.8943818807601929},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.797527551651001},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7114534378051758},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.634172797203064},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5907372236251831},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.510978102684021},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5060886740684509},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.49876856803894043},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4852857291698456},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4852709472179413},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4409360885620117},{"id":"https://openalex.org/keywords/random-access-memory","display_name":"Random access memory","score":0.42496445775032043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3183901607990265},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.27135956287384033},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11953926086425781},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09760996699333191},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09681865572929382},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08360260725021362}],"concepts":[{"id":"https://openalex.org/C7366592","wikidata":"https://www.wikidata.org/wiki/Q1255620","display_name":"Dram","level":2,"score":0.8943818807601929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.797527551651001},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7114534378051758},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.634172797203064},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5907372236251831},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.510978102684021},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5060886740684509},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.49876856803894043},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4852857291698456},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4852709472179413},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4409360885620117},{"id":"https://openalex.org/C2994168587","wikidata":"https://www.wikidata.org/wiki/Q5295","display_name":"Random access memory","level":2,"score":0.42496445775032043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3183901607990265},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.27135956287384033},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11953926086425781},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09760996699333191},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09681865572929382},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08360260725021362},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3195970.3196029","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3195970.3196029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 55th Annual Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1823937713","https://openalex.org/W2044535169","https://openalex.org/W2067523571","https://openalex.org/W2170257519","https://openalex.org/W2194775991","https://openalex.org/W2300242332","https://openalex.org/W2559655401","https://openalex.org/W2585546120","https://openalex.org/W2605347906","https://openalex.org/W2737762472","https://openalex.org/W2742566056","https://openalex.org/W2766489088","https://openalex.org/W2767899175","https://openalex.org/W2964299589","https://openalex.org/W4239722617","https://openalex.org/W4240429504","https://openalex.org/W4243519499","https://openalex.org/W4281567668","https://openalex.org/W6603692524","https://openalex.org/W6628107832"],"related_works":["https://openalex.org/W2094308961","https://openalex.org/W2533585248","https://openalex.org/W4386903460","https://openalex.org/W2806599233","https://openalex.org/W2130233920","https://openalex.org/W4389476207","https://openalex.org/W2473808647","https://openalex.org/W2125880695","https://openalex.org/W2134643927","https://openalex.org/W2120093897"],"abstract_inverted_index":{"Modern":[0],"Convolutional":[1],"Neural":[2],"Networks":[3],"(CNNs)":[4],"are":[5],"computation":[6],"and":[7,41],"memory":[8],"intensive.":[9],"Thus":[10],"it":[11],"is":[12],"crucial":[13],"to":[14,18],"develop":[15],"hardware":[16],"accelerators":[17,33],"achieve":[19],"high":[20],"performance":[21],"as":[22,24],"well":[23],"power/energy-efficiency":[25],"on":[26],"resource":[27],"limited":[28],"embedded":[29],"systems.":[30],"DRAM-based":[31],"CNN":[32],"exhibit":[34],"great":[35],"potentials":[36],"but":[37],"face":[38],"inference":[39],"accuracy":[40],"area":[42],"overhead":[43],"challenges.":[44]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":21}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2018-06-29T00:00:00"}