{"id":"https://openalex.org/W2897656818","doi":"https://doi.org/10.1145/3243176.3243177","title":"Architectural support for convolutional neural networks on modern CPUs","display_name":"Architectural support for convolutional neural networks on modern CPUs","publication_year":2018,"publication_date":"2018-10-10","ids":{"openalex":"https://openalex.org/W2897656818","doi":"https://doi.org/10.1145/3243176.3243177","mag":"2897656818"},"language":"en","primary_location":{"id":"doi:10.1145/3243176.3243177","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3243176.3243177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques","raw_type":"proceedings-article"},"type":"article","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/A5041306152","display_name":"Animesh Jain","orcid":"https://orcid.org/0000-0003-0250-3608"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Animesh Jain","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058184922","display_name":"Michael A. Laurenzano","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael A. Laurenzano","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071035949","display_name":"Gilles Pokam","orcid":"https://orcid.org/0009-0002-4363-5383"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gilles A. Pokam","raw_affiliation_strings":["Intel Labs"],"affiliations":[{"raw_affiliation_string":"Intel Labs","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053236545","display_name":"Jason Mars","orcid":"https://orcid.org/0000-0002-7029-5292"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jason Mars","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065128438","display_name":"Lingjia Tang","orcid":"https://orcid.org/0000-0002-5609-7775"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lingjia Tang","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041306152"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.2089,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56015999,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9955000281333923,"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/computer-science","display_name":"Computer science","score":0.8241087198257446},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.7601610422134399},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6395201683044434},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6386697888374329},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.624374270439148},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5596961975097656},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5459907650947571},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5129144191741943},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5113722681999207},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5007200241088867},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.47485923767089844},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.454127699136734},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.45368707180023193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44267016649246216},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4110293686389923},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3339943587779999},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.24328076839447021},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.15790912508964539},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13549041748046875},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10437369346618652}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8241087198257446},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7601610422134399},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6395201683044434},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6386697888374329},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.624374270439148},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5596961975097656},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5459907650947571},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5129144191741943},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5113722681999207},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5007200241088867},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.47485923767089844},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.454127699136734},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.45368707180023193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44267016649246216},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4110293686389923},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3339943587779999},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.24328076839447021},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.15790912508964539},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13549041748046875},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10437369346618652},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3243176.3243177","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3243176.3243177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8999999761581421,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1487583988","https://openalex.org/W1591801644","https://openalex.org/W1667652561","https://openalex.org/W1686810756","https://openalex.org/W1789336918","https://openalex.org/W1799366690","https://openalex.org/W1816079941","https://openalex.org/W1825675169","https://openalex.org/W1832693441","https://openalex.org/W1845051632","https://openalex.org/W1895577753","https://openalex.org/W1981153984","https://openalex.org/W2016053056","https://openalex.org/W2034062945","https://openalex.org/W2038509324","https://openalex.org/W2048266589","https://openalex.org/W2054103475","https://openalex.org/W2090268225","https://openalex.org/W2096446497","https://openalex.org/W2097117768","https://openalex.org/W2097572763","https://openalex.org/W2120615054","https://openalex.org/W2142801765","https://openalex.org/W2150341604","https://openalex.org/W2152839228","https://openalex.org/W2156303437","https://openalex.org/W2163605009","https://openalex.org/W2170382128","https://openalex.org/W2171641226","https://openalex.org/W2172654076","https://openalex.org/W2194775991","https://openalex.org/W2214665483","https://openalex.org/W2272300165","https://openalex.org/W2289543008","https://openalex.org/W2442974303","https://openalex.org/W2488840986","https://openalex.org/W2511743527","https://openalex.org/W2513554817","https://openalex.org/W2516141709","https://openalex.org/W2516525699","https://openalex.org/W2557637097","https://openalex.org/W2567051523","https://openalex.org/W2597880136","https://openalex.org/W2602024037","https://openalex.org/W2604319603","https://openalex.org/W2606722458","https://openalex.org/W2765315405","https://openalex.org/W2794670651","https://openalex.org/W2883283076","https://openalex.org/W2906043559","https://openalex.org/W2949888546","https://openalex.org/W2950656546","https://openalex.org/W2951963285","https://openalex.org/W2952186347","https://openalex.org/W2953391617","https://openalex.org/W2963542991","https://openalex.org/W4244894488","https://openalex.org/W4245199738","https://openalex.org/W4251575795","https://openalex.org/W4251607986","https://openalex.org/W6635446068","https://openalex.org/W6638444622","https://openalex.org/W6639657675","https://openalex.org/W6674652511","https://openalex.org/W6674914833","https://openalex.org/W6679436768","https://openalex.org/W6685214006","https://openalex.org/W6687483927"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W632915154","https://openalex.org/W2055733372","https://openalex.org/W3022067003"],"abstract_inverted_index":{"A":[0],"key":[1],"focus":[2],"of":[3,34],"recent":[4],"work":[5],"in":[6,37],"our":[7],"community":[8],"has":[9],"been":[10],"on":[11],"devising":[12],"increasingly":[13],"sophisticated":[14],"acceleration":[15],"devices":[16],"for":[17,24],"deep":[18,82],"neural":[19,83],"network":[20,84],"(DNN)":[21],"computation,":[22],"especially":[23],"networks":[25],"driven":[26],"by":[27,43],"convolution":[28],"layers.":[29],"Yet,":[30],"despite":[31],"the":[32,64],"promise":[33],"substantial":[35],"improvements":[36],"performance":[38],"and":[39,59],"energy":[40],"consumption":[41],"offered":[42],"these":[44],"approaches,":[45],"general":[46],"purpose":[47],"computing":[48],"is":[49],"not":[50],"going":[51],"away":[52],"because":[53],"its":[54],"traditional":[55],"well-understood":[56],"programming":[57],"model":[58],"continued":[60],"wide":[61],"deployment.":[62],"Therefore,":[63],"question":[65],"arises":[66],"as":[67],"to":[68,75,79],"what":[69],"can":[70],"be":[71],"done,":[72],"if":[73],"anything,":[74],"evolve":[76],"conventional":[77],"CPUs":[78],"accommodate":[80],"efficient":[81],"computation.":[85]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}