{"id":"https://openalex.org/W4407942484","doi":"https://doi.org/10.1145/3708493.3712689","title":"Fusion of Operators of Computational Graphs via Greedy Clustering: The XNNC Experience","display_name":"Fusion of Operators of Computational Graphs via Greedy Clustering: The XNNC Experience","publication_year":2025,"publication_date":"2025-02-25","ids":{"openalex":"https://openalex.org/W4407942484","doi":"https://doi.org/10.1145/3708493.3712689"},"language":"en","primary_location":{"id":"doi:10.1145/3708493.3712689","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3708493.3712689","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3708493.3712689","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM SIGPLAN International Conference on Compiler Construction","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3708493.3712689","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078552438","display_name":"Michael Canesche","orcid":"https://orcid.org/0000-0001-7882-0787"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Canesche","raw_affiliation_strings":["Cadence Design Systems, Belo Horizonte, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-7882-0787","affiliations":[{"raw_affiliation_string":"Cadence Design Systems, Belo Horizonte, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085569894","display_name":"Vanderson Martins do Ros\u00e1rio","orcid":"https://orcid.org/0000-0002-8737-0252"},"institutions":[{"id":"https://openalex.org/I66217453","display_name":"Cadence Design Systems (United States)","ror":"https://ror.org/04w8xa018","country_code":"US","type":"company","lineage":["https://openalex.org/I66217453"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vanderson Martins do Rosario","raw_affiliation_strings":["Cadence Design Systems, San Jose, USA"],"raw_orcid":"https://orcid.org/0000-0002-8737-0252","affiliations":[{"raw_affiliation_string":"Cadence Design Systems, San Jose, USA","institution_ids":["https://openalex.org/I66217453"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040178299","display_name":"Edson Borin","orcid":"https://orcid.org/0000-0003-1783-4231"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Edson Borin","raw_affiliation_strings":["State University of Campinas, Campinas, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-1783-4231","affiliations":[{"raw_affiliation_string":"State University of Campinas, Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078149140","display_name":"Fernando Magno Quint\u00e3o Pereira","orcid":"https://orcid.org/0000-0002-0375-1657"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fernando Magno Quint\u00e3o Pereira","raw_affiliation_strings":["Federal University of Minas Gerais, Belo Horizonte, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-0375-1657","affiliations":[{"raw_affiliation_string":"Federal University of Minas Gerais, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I110200422"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8048,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.89448015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"117","last_page":"127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9983000159263611,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9983000159263611,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9894999861717224,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9882000088691711,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6300842761993408},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6195939779281616},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5185557007789612},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4541553556919098},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38443630933761597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33384546637535095},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2774290144443512}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6300842761993408},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6195939779281616},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5185557007789612},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4541553556919098},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38443630933761597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33384546637535095},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2774290144443512},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3708493.3712689","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3708493.3712689","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3708493.3712689","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM SIGPLAN International Conference on Compiler Construction","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3708493.3712689","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3708493.3712689","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3708493.3712689","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM SIGPLAN International Conference on Compiler Construction","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4407942484.pdf"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2023415862","https://openalex.org/W2099001231","https://openalex.org/W2618530766","https://openalex.org/W2783614532","https://openalex.org/W2798341898","https://openalex.org/W2804032941","https://openalex.org/W3004659153","https://openalex.org/W3122286897","https://openalex.org/W3122749996","https://openalex.org/W3174885745","https://openalex.org/W4212986322","https://openalex.org/W4244917406","https://openalex.org/W4293102247","https://openalex.org/W4311413235","https://openalex.org/W4360831828","https://openalex.org/W4383501747","https://openalex.org/W4389245786","https://openalex.org/W4392295176","https://openalex.org/W6910841127"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W4298130764"],"abstract_inverted_index":{"Tensor":[0],"compilers":[1],"like":[2],"XLA,":[3],"TVM,":[4],"and":[5,15,64,93],"TensorRT":[6],"operate":[7],"on":[8,107],"computational":[9,62,113],"graphs,":[10],"where":[11],"vertices":[12],"represent":[13,17],"operations":[14],"edges":[16],"data":[18],"flow":[19],"between":[20],"these":[21,67],"operations.":[22],"Operator":[23],"fusion":[24,40,102],"is":[25],"an":[26],"optimization":[27],"that":[28],"merges":[29],"operators":[30],"to":[31],"improve":[32],"their":[33],"efficiency.":[34],"This":[35],"paper":[36],"presents":[37],"the":[38,45,61,79,112],"operator":[39],"algorithm":[41,57,125],"recently":[42,117],"deployed":[43],"in":[44],"Xtensa":[46],"Neural":[47],"Network":[48],"Compiler":[49],"(XNNC)":[50],"-":[51],"Cadence":[52],"Tensilica's":[53],"tensor":[54],"compiler.":[55],"The":[56],"clusters":[58,68],"nodes":[59],"within":[60],"graph":[63],"iteratively":[65],"grows":[66],"until":[69],"reaching":[70],"a":[71,108],"fixed":[72],"point.":[73],"A":[74],"priority":[75],"queue,":[76],"sorted":[77],"by":[78],"estimated":[80],"profitability":[81],"of":[82,111],"merging":[83],"cluster":[84],"candidates,":[85],"guides":[86],"this":[87,124],"iterative":[88],"process.":[89],"It":[90],"balances":[91],"precision":[92],"practicality,":[94],"producing":[95],"models":[96],"39%":[97],"faster":[98],"than":[99],"XNNC's":[100],"previous":[101],"approach,":[103],"which":[104],"was":[105],"based":[106],"depth-first":[109],"traversal":[110],"graph.":[114],"Moreover,":[115],"unlike":[116],"proposed":[118],"exhaustive":[119],"or":[120],"evolutionary":[121],"search":[122],"methods,":[123],"terminates":[126],"quickly":[127],"while":[128],"often":[129],"yielding":[130],"equally":[131],"efficient":[132],"models.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
