{"id":"https://openalex.org/W2951963285","doi":"https://doi.org/10.48550/arxiv.1703.09039","title":"Efficient Processing of Deep Neural Networks: A Tutorial and Survey","display_name":"Efficient Processing of Deep Neural Networks: A Tutorial and Survey","publication_year":2017,"publication_date":"2017-03-27","ids":{"openalex":"https://openalex.org/W2951963285","doi":"https://doi.org/10.48550/arxiv.1703.09039","mag":"2951963285"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1703.09039","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.09039","pdf_url":"https://arxiv.org/pdf/1703.09039","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1703.09039","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066351389","display_name":"Vivienne Sze","orcid":"https://orcid.org/0000-0003-4841-3990","observed_orcids":["https://orcid.org/0000-0003-4841-3990"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sze, Vivienne","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science , Massachusetts Institute of Technol- ogy , Cambridge , MA 02139 USA","Dept. of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge (MA), USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science , Massachusetts Institute of Technol- ogy , Cambridge , MA 02139 USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge (MA), USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101724054","display_name":"Yu\u2010Hsin Chen","orcid":"https://orcid.org/0000-0002-4403-956X","observed_orcids":["https://orcid.org/0000-0002-4403-956X","https://orcid.org/0000-0002-7829-4008"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen, Yu-Hsin","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science , Massachusetts Institute of Technol- ogy , Cambridge , MA 02139 USA","Dept. of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge (MA), USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science , Massachusetts Institute of Technol- ogy , Cambridge , MA 02139 USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge (MA), USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058307363","display_name":"Tien-Ju Yang","orcid":"https://orcid.org/0000-0003-4728-0321","observed_orcids":["https://orcid.org/0000-0003-4728-0321"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang, Tien-Ju","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science , Massachusetts Institute of Technol- ogy , Cambridge , MA 02139 USA","Dept. of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge (MA), USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science , Massachusetts Institute of Technol- ogy , Cambridge , MA 02139 USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge (MA), USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024384625","display_name":"Joel Emer","orcid":"https://orcid.org/0000-0002-3459-5466","observed_orcids":["https://orcid.org/0000-0002-3459-5466"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emer, Joel","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science , Massachusetts Institute of Technol- ogy , Cambridge , MA 02139 USA","Dept. of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge (MA), USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science , Massachusetts Institute of Technol- ogy , Cambridge , MA 02139 USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge (MA), USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":45,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.763700008392334,"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":0.763700008392334,"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":0.1940000057220459,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.007799999788403511,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.9259999990463257},{"id":"https://openalex.org/keywords/energy-efficiency","display_name":"energy efficiency","score":0.718999981880188},{"id":"https://openalex.org/keywords/throughput","display_name":"throughput","score":0.5889999866485596},{"id":"https://openalex.org/keywords/hardware-accelerators","display_name":"hardware accelerators","score":0.6769999861717224},{"id":"https://openalex.org/keywords/computation-cost-reduction","display_name":"computation cost reduction","score":0.8109999895095825},{"id":"https://openalex.org/keywords/benchmarking-metrics","display_name":"benchmarking metrics","score":0.8429999947547913}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.769573450088501},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6042755246162415},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5871838927268982},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5560864806175232},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5285595655441284},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4782073497772217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4779662787914276},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4746330976486206},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.4648538827896118},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4624583423137665},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.45544126629829407},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.4251742362976074},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4209215044975281},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4125176668167114},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.25022080540657043},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.14398586750030518},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:arXiv.org:1703.09039","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.09039","pdf_url":"https://arxiv.org/pdf/1703.09039","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2951963285","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1703.09039","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:dspace.mit.edu:1721.1/134932","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/134932","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv","raw_type":"Article"},{"id":"doi:10.48550/arxiv.1703.09039","doi":"https://doi.org/10.48550/arxiv.1703.09039","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1703.09039","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1703.09039","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.09039","pdf_url":"https://arxiv.org/pdf/1703.09039","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Affordable and clean energy","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/7"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2951963285.pdf","grobid_xml":"https://content.openalex.org/works/W2951963285.grobid-xml"},"referenced_works_count":98,"referenced_works":["https://openalex.org/W4919037","https://openalex.org/W1005811612","https://openalex.org/W1019830208","https://openalex.org/W1535810436","https://openalex.org/W1542981317","https://openalex.org/W1574719918","https://openalex.org/W1667652561","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1690739335","https://openalex.org/W1757796397","https://openalex.org/W1799366690","https://openalex.org/W1821462560","https://openalex.org/W1923344279","https://openalex.org/W1981220134","https://openalex.org/W1984541135","https://openalex.org/W1992781178","https://openalex.org/W1999085092","https://openalex.org/W2015861736","https://openalex.org/W2026369565","https://openalex.org/W2032397540","https://openalex.org/W2048266589","https://openalex.org/W2048508570","https://openalex.org/W2067523571","https://openalex.org/W2069743665","https://openalex.org/W2070167224","https://openalex.org/W2088079057","https://openalex.org/W2088338354","https://openalex.org/W2094756095","https://openalex.org/W2099912917","https://openalex.org/W2107726111","https://openalex.org/W2112739286","https://openalex.org/W2112796928","https://openalex.org/W2117696986","https://openalex.org/W2119112357","https://openalex.org/W2121840029","https://openalex.org/W2133319764","https://openalex.org/W2138207765","https://openalex.org/W2138913040","https://openalex.org/W2145607950","https://openalex.org/W2152839228","https://openalex.org/W2156303437","https://openalex.org/W2158899491","https://openalex.org/W2160815625","https://openalex.org/W2162651880","https://openalex.org/W2167215970","https://openalex.org/W2172166488","https://openalex.org/W2172654076","https://openalex.org/W2176412452","https://openalex.org/W2183341477","https://openalex.org/W2198606573","https://openalex.org/W2274287116","https://openalex.org/W2276892413","https://openalex.org/W2285660444","https://openalex.org/W2289252105","https://openalex.org/W2291160084","https://openalex.org/W2294370754","https://openalex.org/W2300770211","https://openalex.org/W2308155233","https://openalex.org/W2314470091","https://openalex.org/W2319920447","https://openalex.org/W2330958039","https://openalex.org/W2400507664","https://openalex.org/W2405920868","https://openalex.org/W2433743436","https://openalex.org/W2469490737","https://openalex.org/W2474421929","https://openalex.org/W2509192851","https://openalex.org/W2511743527","https://openalex.org/W2513419314","https://openalex.org/W2513554817","https://openalex.org/W2516141709","https://openalex.org/W2518511512","https://openalex.org/W2519091744","https://openalex.org/W2523838129","https://openalex.org/W2524241275","https://openalex.org/W2524428287","https://openalex.org/W2530849036","https://openalex.org/W2531409750","https://openalex.org/W2560017826","https://openalex.org/W2563587242","https://openalex.org/W2593245696","https://openalex.org/W2593841437","https://openalex.org/W2612445135","https://openalex.org/W2619096655","https://openalex.org/W2625457103","https://openalex.org/W2657126969","https://openalex.org/W2949117887","https://openalex.org/W2950094539","https://openalex.org/W2951660448","https://openalex.org/W2963114950","https://openalex.org/W2963340555","https://openalex.org/W2963403664","https://openalex.org/W2963674932","https://openalex.org/W2964161785","https://openalex.org/W3022861191","https://openalex.org/W4249932213","https://openalex.org/W4394670654"],"related_works":["https://openalex.org/W2112796928","https://openalex.org/W2163605009","https://openalex.org/W2152839228","https://openalex.org/W2604319603","https://openalex.org/W2117539524","https://openalex.org/W2919115771","https://openalex.org/W2953212265","https://openalex.org/W2076063813","https://openalex.org/W1999085092","https://openalex.org/W2964299589","https://openalex.org/W2518281301","https://openalex.org/W2314470091","https://openalex.org/W2257979135","https://openalex.org/W2194775991","https://openalex.org/W2128084896","https://openalex.org/W2100495367","https://openalex.org/W2024122052","https://openalex.org/W2024060531","https://openalex.org/W968846273","https://openalex.org/W965219342"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"(DNNs)":[3],"are":[4,61],"currently":[5],"widely":[6],"used":[7,168],"for":[8,169,205,240],"many":[9,27],"artificial":[10],"intelligence":[11],"(AI)":[12],"applications":[13],"including":[14,180],"computer":[15],"vision,":[16],"speech":[17],"recognition,":[18],"and":[19,51,80,107,112,134,148,157,162,187,217,227,243,248],"robotics.":[20],"While":[21],"DNNs":[22,46,68,122],"deliver":[23],"state-of-the-art":[24],"accuracy":[25,56],"on":[26],"AI":[28,70],"tasks,":[29],"it":[30,96],"comes":[31],"at":[32],"the":[33,64,83,87,118,171,194,201,221,233],"cost":[34,60,120],"of":[35,45,67,89,93,101,121,175,235],"high":[36],"computational":[37],"complexity.":[38],"Accordingly,":[39],"techniques":[40,239],"that":[41,109,145,165],"enable":[42,146],"efficient":[43,91,241],"processing":[44,92],"to":[47,63,75,150,209,231],"improve":[48],"energy":[49],"efficiency":[50],"throughput":[52],"without":[53],"sacrificing":[54],"application":[55],"or":[57,129],"increasing":[58],"hardware":[59,105,126,132,177,213,225],"critical":[62],"wide":[65],"deployment":[66],"in":[69,116,154,185],"systems.":[71],"This":[72],"article":[73],"aims":[74],"provide":[76,98],"a":[77],"comprehensive":[78],"tutorial":[79],"survey":[81],"about":[82],"recent":[84,245],"advances":[85],"towards":[86],"goal":[88],"enabling":[90],"DNNs.":[94],"Specifically,":[95],"will":[97,139,191],"an":[99],"overview":[100],"DNNs,":[102,111],"discuss":[103],"various":[104,142,224,236],"platforms":[106],"architectures":[108,226],"support":[110],"highlight":[113,158],"key":[114,202],"trends":[115,247],"reducing":[117],"computation":[119],"either":[123],"solely":[124],"via":[125,130],"design":[127,133,163,203,238],"changes":[128],"joint":[131],"DNN":[135,176,212,237],"algorithm":[136],"changes.":[137],"It":[138],"also":[140],"summarize":[141],"development":[143],"resources":[144],"researchers":[147],"practitioners":[149],"quickly":[151],"get":[152],"started":[153],"this":[155,198],"field,":[156],"important":[159],"benchmarking":[160],"metrics":[161],"considerations":[164,204],"should":[166],"be":[167,207,229],"evaluating":[170],"rapidly":[172],"growing":[173],"number":[174],"designs,":[178],"optionally":[179],"algorithmic":[181],"co-designs,":[182],"being":[183],"proposed":[184],"academia":[186],"industry.":[188],"The":[189],"reader":[190],"take":[192],"away":[193],"following":[195],"concepts":[196],"from":[197],"article:":[199],"understand":[200,220,244],"DNNs;":[206],"able":[208,230],"evaluate":[210,232],"different":[211],"implementations":[214],"with":[215],"benchmarks":[216],"comparison":[218],"metrics;":[219],"trade-offs":[222],"between":[223],"platforms;":[228],"utility":[234],"processing;":[242],"implementation":[246],"opportunities.":[249]},"counts_by_year":[{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":3}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}