{"id":"https://openalex.org/W3032076680","doi":"https://doi.org/10.1109/mm.2020.2992834","title":"The 2019 Top Picks in Computer Architecture","display_name":"The 2019 Top Picks in Computer Architecture","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3032076680","doi":"https://doi.org/10.1109/mm.2020.2992834","mag":"3032076680"},"language":"en","primary_location":{"id":"doi:10.1109/mm.2020.2992834","is_oa":true,"landing_page_url":"https://doi.org/10.1109/mm.2020.2992834","pdf_url":"https://ieeexplore.ieee.org/ielx7/40/9099648/09099646.pdf","source":{"id":"https://openalex.org/S59697426","display_name":"IEEE Micro","issn_l":"0272-1732","issn":["0272-1732","1937-4143"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Micro","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/40/9099648/09099646.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000822269","display_name":"Hyesoon Kim","orcid":"https://orcid.org/0000-0002-6061-7825"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hyesoon Kim","raw_affiliation_strings":["Georgia Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5000822269"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07322778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"3","first_page":"6","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.8701000213623047,"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"}},"topics":[{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.8701000213623047,"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"}},{"id":"https://openalex.org/T10430","display_name":"Software Engineering Techniques and Practices","score":0.8544999957084656,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11986","display_name":"Scientific Computing and Data Management","score":0.7955999970436096,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8428366184234619},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6781279444694519},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6608898043632507},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.5059120059013367},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37542960047721863},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.33426424860954285},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3275489807128906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16587486863136292},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.09992998838424683},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06332799792289734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8428366184234619},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6781279444694519},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6608898043632507},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.5059120059013367},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37542960047721863},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.33426424860954285},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3275489807128906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16587486863136292},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.09992998838424683},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06332799792289734},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mm.2020.2992834","is_oa":true,"landing_page_url":"https://doi.org/10.1109/mm.2020.2992834","pdf_url":"https://ieeexplore.ieee.org/ielx7/40/9099648/09099646.pdf","source":{"id":"https://openalex.org/S59697426","display_name":"IEEE Micro","issn_l":"0272-1732","issn":["0272-1732","1937-4143"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Micro","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/mm.2020.2992834","is_oa":true,"landing_page_url":"https://doi.org/10.1109/mm.2020.2992834","pdf_url":"https://ieeexplore.ieee.org/ielx7/40/9099648/09099646.pdf","source":{"id":"https://openalex.org/S59697426","display_name":"IEEE Micro","issn_l":"0272-1732","issn":["0272-1732","1937-4143"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Micro","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3032076680.pdf","grobid_xml":"https://content.openalex.org/works/W3032076680.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W2935480346","https://openalex.org/W2965643269"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2588198209","https://openalex.org/W2265065644","https://openalex.org/W1909006023","https://openalex.org/W2134699697","https://openalex.org/W4205824991","https://openalex.org/W3200723557","https://openalex.org/W4312713546","https://openalex.org/W2362195430"],"abstract_inverted_index":{"This":[0],"annual":[1],"publication":[2],"presents":[3],"12":[4,16],"articles":[5],"selected":[6],"from":[7],"major":[8],"computer":[9],"architecture":[10],"conferences":[11],"of":[12],"the":[13,24,30,44,49,54],"year.":[14],"The":[15,35],"papers":[17],"are":[18],"recognized":[19],"for":[20,53,67],"their":[21],"importance,":[22],"mainly":[23],"long-term":[25],"impact":[26],"and":[27,32,57],"influence":[28],"on":[29],"industry":[31],"other":[33],"researchers.":[34],"selection":[36],"committee":[37],"members":[38],"put":[39],"enormous":[40],"effort":[41],"into":[42],"picking":[43],"papers.":[45],"We":[46],"asked":[47],"what":[48],"criteria":[50],"should":[51],"be":[52],"top":[55],"picks,":[56],"then":[58],"we":[59],"tried":[60],"to":[61],"answer":[62],"that":[63],"question":[64],"by":[65],"looking":[66],"significant":[68],"improvement":[69],"over":[70],"previous":[71],"work,":[72],"establishing":[73],"a":[74],"new":[75],"area.":[76]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}