{"id":"https://openalex.org/W3012493694","doi":"https://doi.org/10.1145/3372780.3380846","title":"ISPD 2020 Physical Mapping of Neural Networks on a Wafer-Scale Deep Learning Accelerator","display_name":"ISPD 2020 Physical Mapping of Neural Networks on a Wafer-Scale Deep Learning Accelerator","publication_year":2020,"publication_date":"2020-03-20","ids":{"openalex":"https://openalex.org/W3012493694","doi":"https://doi.org/10.1145/3372780.3380846","mag":"3012493694"},"language":"en","primary_location":{"id":"doi:10.1145/3372780.3380846","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372780.3380846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Symposium on Physical Design","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/A5029831203","display_name":"Michael James","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726927","display_name":"Cerebras Systems (United States)","ror":"https://ror.org/040zz8080","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726927"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael James","raw_affiliation_strings":["Cerebras Systems, Los Altos, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cerebras Systems, Los Altos, CA, USA","institution_ids":["https://openalex.org/I4401726927"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014266034","display_name":"Marvin Tom","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726927","display_name":"Cerebras Systems (United States)","ror":"https://ror.org/040zz8080","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726927"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marvin Tom","raw_affiliation_strings":["Cerebras Systems, Los Altos, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cerebras Systems, Los Altos, CA, USA","institution_ids":["https://openalex.org/I4401726927"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020251935","display_name":"Patrick Groeneveld","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726927","display_name":"Cerebras Systems (United States)","ror":"https://ror.org/040zz8080","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726927"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Patrick Groeneveld","raw_affiliation_strings":["Cerebras Systems, Los Altos, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cerebras Systems, Los Altos, CA, USA","institution_ids":["https://openalex.org/I4401726927"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043116976","display_name":"Vladimir Kibardin","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726927","display_name":"Cerebras Systems (United States)","ror":"https://ror.org/040zz8080","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726927"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vladimir Kibardin","raw_affiliation_strings":["Cerebras Systems, Los Altos, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cerebras Systems, Los Altos, CA, USA","institution_ids":["https://openalex.org/I4401726927"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7691,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.84781615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9980999827384949,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9979000091552734,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7592817544937134},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6921534538269043},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4894358217716217},{"id":"https://openalex.org/keywords/memory-bandwidth","display_name":"Memory bandwidth","score":0.43842968344688416},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4380103647708893},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4169937074184418},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.38740965723991394},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3599261939525604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3472197353839874},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08841124176979065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7592817544937134},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6921534538269043},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4894358217716217},{"id":"https://openalex.org/C188045654","wikidata":"https://www.wikidata.org/wiki/Q17148339","display_name":"Memory bandwidth","level":2,"score":0.43842968344688416},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4380103647708893},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4169937074184418},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.38740965723991394},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3599261939525604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3472197353839874},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08841124176979065},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3372780.3380846","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372780.3380846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Symposium on Physical Design","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2024060531","https://openalex.org/W2194775991","https://openalex.org/W2963809228"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2811106690","https://openalex.org/W2039378765","https://openalex.org/W1982351223","https://openalex.org/W2097757554","https://openalex.org/W2887282140","https://openalex.org/W2149537422","https://openalex.org/W2984139344"],"abstract_inverted_index":{"This":[0,80,228],"paper":[1,229],"introduces":[2],"a":[3,17,22,31,42,58,95,107,122,165,175,181,207],"special":[4],"case":[5],"of":[6,35,41,77,125,174,194,209],"the":[7,39,51,75,78,195,217,247,252],"floorplanning":[8,197],"problem":[9,198],"for":[10,100,156],"optimizing":[11],"neural":[12,25,43,157,177,182,243],"networks":[13,26,244],"to":[14,49,62,74,145,151,168,222,225,235],"run":[15],"on":[16,251],"wafer-scale":[18,111],"computing":[19],"engine.":[20],"From":[21],"compute":[23,36,116,171,213],"perspective,":[24],"can":[27],"be":[28,223],"represented":[29],"by":[30,106,109,127,211],"deeply":[32],"layered":[33],"structure":[34],"kernels.":[37],"During":[38],"training":[40,159],"network,":[44],"gradient":[45],"descent":[46],"is":[47,82,104,119,192],"used":[48],"determine":[50],"weight":[52,60],"factors.":[53],"Each":[54],"layer":[55,173],"then":[56],"uses":[57],"local":[59,135],"tensor":[61],"transform":[63],"\"activations\"":[64],"and":[65,85,89,140,160,170,238],"\"gradients\"":[66],"that":[67,103,220,240,245],"are":[68,216],"shared":[69],"among":[70],"connected":[71],"kernels":[72],"according":[73],"topology":[76],"network.":[79],"process":[81],"computationally":[83],"intensive":[84],"requires":[86],"high":[87,136,142],"memory":[88,139],"communication":[90],"bandwidth.":[91],"Cerebras":[92,253],"has":[93,164],"developed":[94],"novel":[96],"computer":[97],"system":[98],"designed":[99],"this":[101,162,185],"work":[102],"powered":[105],"21.5cm":[108,110],"processor":[112],"with":[113,132],"400,000":[114],"programmable":[115],"cores.":[117,148],"It":[118],"structured":[120],"as":[121,206],"regular":[123],"array":[124],"633":[126,128],"processing":[129],"elements,":[130],"each":[131],"its":[133,146],"own":[134],"bandwidth":[137,143],"SRAM":[138],"direct":[141],"connection":[144],"neighboring":[147],"In":[149],"addition":[150],"supporting":[152],"traditional":[153,196],"execution":[154],"models":[155],"network":[158,178,183],"inference,":[161],"engine":[163],"unique":[166],"capability":[167],"compile":[169],"every":[172],"complete":[176],"simultaneously.":[179],"Mapping":[180],"in":[184,199],"fashion":[186],"onto":[187],"Cerebras'":[188],"Wafer-Scale":[189],"Engine":[190],"(WSE)":[191],"reminiscent":[193],"physical":[200],"design.":[201],"A":[202],"kernel":[203],"ends":[204],"up":[205],"rectangle":[208],"x":[210],"y":[212],"elements.":[214],"These":[215],"flexible":[218],"blocks":[219],"need":[221],"placed":[224],"optimize":[226],"performance.":[227],"describes":[230],"an":[231],"ISPD":[232],"2020":[233],"challenge":[234],"develop":[236],"algorithms":[237],"heuristics":[239],"produce":[241],"compiled":[242],"achieve":[246],"highest":[248],"possible":[249],"performance":[250],"WSE.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
