{"id":"https://openalex.org/W2946120105","doi":"https://doi.org/10.1145/3316781.3317789","title":"Code Mapping in Heterogeneous Platforms Using Deep Learning and LLVM-IR","display_name":"Code Mapping in Heterogeneous Platforms Using Deep Learning and LLVM-IR","publication_year":2019,"publication_date":"2019-05-23","ids":{"openalex":"https://openalex.org/W2946120105","doi":"https://doi.org/10.1145/3316781.3317789","mag":"2946120105"},"language":"en","primary_location":{"id":"doi:10.1145/3316781.3317789","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3316781.3317789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual Design Automation Conference 2019","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/A5022195134","display_name":"Francesco Barchi","orcid":"https://orcid.org/0000-0001-5155-6883"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Francesco Barchi","raw_affiliation_strings":["Politecnico di Torino, Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011857762","display_name":"Gianvito Urgese","orcid":"https://orcid.org/0000-0003-2672-7593"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gianvito Urgese","raw_affiliation_strings":["Politecnico di Torino, Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005432629","display_name":"Enrico Macii","orcid":"https://orcid.org/0000-0001-9046-5618"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Enrico Macii","raw_affiliation_strings":["Politecnico di Torino, Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031653904","display_name":"Andrea Acquaviva","orcid":"https://orcid.org/0000-0002-7323-759X"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Acquaviva","raw_affiliation_strings":["Politecnico di Torino, Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022195134"],"corresponding_institution_ids":["https://openalex.org/I177477856"],"apc_list":null,"apc_paid":null,"fwci":2.8892,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.90829637,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998000264167786,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T12127","display_name":"Software System Performance and Reliability","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9092681407928467},{"id":"https://openalex.org/keywords/compiler","display_name":"Compiler","score":0.8476274013519287},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6469036340713501},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5796446204185486},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.5115083456039429},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49747684597969055},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46656811237335205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4570382833480835},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4556390047073364},{"id":"https://openalex.org/keywords/machine-code","display_name":"Machine code","score":0.4169199764728546},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.37632113695144653}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9092681407928467},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.8476274013519287},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6469036340713501},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5796446204185486},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.5115083456039429},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49747684597969055},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46656811237335205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4570382833480835},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4556390047073364},{"id":"https://openalex.org/C115168132","wikidata":"https://www.wikidata.org/wiki/Q55813","display_name":"Machine code","level":3,"score":0.4169199764728546},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.37632113695144653},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3316781.3317789","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3316781.3317789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 56th Annual Design Automation Conference 2019","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.unibo.it:11585/781553","is_oa":false,"landing_page_url":"http://hdl.handle.net/11585/781553","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1483717008","https://openalex.org/W1967846636","https://openalex.org/W1969991578","https://openalex.org/W1984222112","https://openalex.org/W1988888548","https://openalex.org/W2052902739","https://openalex.org/W2101746535","https://openalex.org/W2113459411","https://openalex.org/W2116261113","https://openalex.org/W2139028886","https://openalex.org/W2142079700","https://openalex.org/W2143124065","https://openalex.org/W2147370410","https://openalex.org/W2153185479","https://openalex.org/W2441512324","https://openalex.org/W2618564128","https://openalex.org/W2783614532","https://openalex.org/W2962724414","https://openalex.org/W2964121744","https://openalex.org/W3122749996","https://openalex.org/W3146578712","https://openalex.org/W4235600583"],"related_works":["https://openalex.org/W2479014312","https://openalex.org/W2192862863","https://openalex.org/W1583465708","https://openalex.org/W2369288331","https://openalex.org/W2044422526","https://openalex.org/W2519339279","https://openalex.org/W2467097043","https://openalex.org/W1497385637","https://openalex.org/W2885590126","https://openalex.org/W2120537421"],"abstract_inverted_index":{"Modern":[0],"heterogeneous":[1],"platforms":[2],"require":[3],"compilers":[4],"capable":[5,75],"of":[6,14,32,76,88],"choosing":[7],"the":[8,12,30,33,45,82,92],"appropriate":[9],"device":[10],"for":[11,25,43],"execution":[13],"program":[15,34],"portions.":[16],"This":[17],"paper":[18],"presents":[19],"a":[20],"machine":[21],"learning":[22],"method":[23],"designed":[24],"supporting":[26],"mapping":[27],"decisions":[28],"through":[29],"analysis":[31],"source":[35],"code":[36],"represented":[37],"in":[38,68,90],"LLVM":[39],"assembly":[40],"language":[41],"(IR)":[42],"exploiting":[44],"advantages":[46],"offered":[47],"by":[48],"this":[49],"generalised":[50],"and":[51,70],"optimised":[52],"representation.":[53],"To":[54],"evaluate":[55],"our":[56,73],"solution,":[57],"we":[58],"trained":[59],"an":[60,86],"LSTM":[61],"neural":[62],"network":[63,83],"on":[64],"OpenCL":[65],"kernels":[66],"compiled":[67],"LLVM-IR":[69],"processed":[71],"with":[72],"tokenizer":[74],"filtering":[77],"less-informative":[78],"tokens.":[79],"We":[80],"tested":[81],"that":[84],"reaches":[85],"accuracy":[87],"85%":[89],"distinguishing":[91],"best":[93],"computational":[94],"unit.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
