{"id":"https://openalex.org/W4210473334","doi":"https://doi.org/10.1145/3508019","title":"Efficient Realization of Decision Trees for Real-Time Inference","display_name":"Efficient Realization of Decision Trees for Real-Time Inference","publication_year":2022,"publication_date":"2022-01-26","ids":{"openalex":"https://openalex.org/W4210473334","doi":"https://doi.org/10.1145/3508019"},"language":"en","primary_location":{"id":"doi:10.1145/3508019","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3508019","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3508019","source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3508019","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040715141","display_name":"Kuan-Hsun Chen","orcid":"https://orcid.org/0000-0002-7110-921X"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Kuan-Hsun Chen","raw_affiliation_strings":["University of Twente, Enschede, Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Twente, Enschede, Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033160656","display_name":"Chiahui Su","orcid":"https://orcid.org/0000-0001-8518-9495"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chiahui Su","raw_affiliation_strings":["National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026855001","display_name":"Christian Hakert","orcid":"https://orcid.org/0000-0001-9992-9415"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Hakert","raw_affiliation_strings":["Technical University of Dortmund, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Dortmund, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058070822","display_name":"Sebastian Buschj\u00e4ger","orcid":"https://orcid.org/0000-0002-2780-3618"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Buschj\u00e4ger","raw_affiliation_strings":["Technical University of Dortmund, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Dortmund, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034885231","display_name":"Chao-Lin Lee","orcid":"https://orcid.org/0000-0002-4619-3843"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chao-Lin Lee","raw_affiliation_strings":["National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038803698","display_name":"Jenq\u2010Kuen Lee","orcid":"https://orcid.org/0000-0001-9919-6258"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jenq-Kuen Lee","raw_affiliation_strings":["National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065328227","display_name":"Katharina Morik","orcid":"https://orcid.org/0000-0003-1153-5986"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Katharina Morik","raw_affiliation_strings":["Technical University of Dortmund, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Dortmund, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000417436","display_name":"Jian-Jia Chen","orcid":"https://orcid.org/0000-0001-8114-9760"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jian-Jia Chen","raw_affiliation_strings":["Technical University of Dortmund, Dortmund, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Dortmund, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5040715141"],"corresponding_institution_ids":["https://openalex.org/I94624287"],"apc_list":null,"apc_paid":null,"fwci":2.4984,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.90445148,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"21","issue":"6","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9976999759674072,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9965000152587891,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9911999702453613,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.9111649990081787},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.6784238815307617},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.5589550733566284},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.5051074624061584},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4813166856765747},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4679647386074066},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.43335115909576416},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.415926456451416},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.37943655252456665},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34932374954223633},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28411900997161865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25021690130233765},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1893121600151062}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9111649990081787},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.6784238815307617},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.5589550733566284},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.5051074624061584},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4813166856765747},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4679647386074066},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.43335115909576416},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.415926456451416},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.37943655252456665},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34932374954223633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28411900997161865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25021690130233765},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1893121600151062},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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":3,"locations":[{"id":"doi:10.1145/3508019","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3508019","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3508019","source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-article"},{"id":"pmh:oai:ris.utwente.nl:publications/ae6c8448-c312-4dfd-9acb-48e0b4412117","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/ae6c8448-c312-4dfd-9acb-48e0b4412117","pdf_url":"https://ris.utwente.nl/ws/files/303688126/3508019.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Chen, K-H, Su, C, Hakert, C, Buschjager, S, Lee, C-L, Lee, J-K, Morik, K & Chen, J J 2022, 'Efficient Realization of Decision Trees for Real-Time Inference', ACM transactions on embedded computing systems, vol. 21, no. 6. https://doi.org/10.1145/3508019","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:ris.utwente.nl:publications/ae6c8448-c312-4dfd-9acb-48e0b4412117","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.1145/3508019","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3508019","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3508019","source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G3988035882","display_name":null,"funder_award_id":"124020371","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G4104976561","display_name":null,"funder_award_id":"405422836","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G4555059769","display_name":null,"funder_award_id":"405422836 and 124020371","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G5106512922","display_name":null,"funder_award_id":"Deutsche Forschungsgemeinschaft (DFG","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G5126708088","display_name":null,"funder_award_id":"S18038A","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G5168466499","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G5753141157","display_name":null,"funder_award_id":"12402037","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6024419964","display_name":null,"funder_award_id":"Deutsche Forschungsgemeinschaft (DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6052429835","display_name":null,"funder_award_id":"(DFG)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G617271991","display_name":null,"funder_award_id":"SFB876","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6955755495","display_name":null,"funder_award_id":"Germany","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G762232396","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8252925408","display_name":null,"funder_award_id":"competence center for machine learning ML2R","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320320875","display_name":"Deutscher Akademischer Austauschdienst","ror":"https://ror.org/039djdh30"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4210473334.pdf","grobid_xml":"https://content.openalex.org/works/W4210473334.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W1531802798","https://openalex.org/W1821491182","https://openalex.org/W1969031936","https://openalex.org/W1988790447","https://openalex.org/W2047875689","https://openalex.org/W2056132907","https://openalex.org/W2070299948","https://openalex.org/W2072967911","https://openalex.org/W2115471590","https://openalex.org/W2124833832","https://openalex.org/W2128939969","https://openalex.org/W2151224499","https://openalex.org/W2162741763","https://openalex.org/W2216946510","https://openalex.org/W2396174604","https://openalex.org/W2460087158","https://openalex.org/W2480180468","https://openalex.org/W2521985323","https://openalex.org/W2566147423","https://openalex.org/W2608565210","https://openalex.org/W2733186554","https://openalex.org/W2809089185","https://openalex.org/W2907415261","https://openalex.org/W2911964244","https://openalex.org/W2976428806","https://openalex.org/W2997591727","https://openalex.org/W3086423514","https://openalex.org/W3214446523","https://openalex.org/W4212883601","https://openalex.org/W4300092722","https://openalex.org/W6679060694","https://openalex.org/W6688612899"],"related_works":["https://openalex.org/W1555349535","https://openalex.org/W1556451512","https://openalex.org/W4234091740","https://openalex.org/W4213350282","https://openalex.org/W2230171082","https://openalex.org/W2583128298","https://openalex.org/W2369125128","https://openalex.org/W2022275305","https://openalex.org/W3094340691","https://openalex.org/W4221166601"],"abstract_inverted_index":{"For":[0],"timing-sensitive":[1],"edge":[2],"applications,":[3],"the":[4,19,66,108,116,133,158,163,172],"demand":[5,84],"for":[6,112,136,187,207,215],"efficient":[7,123],"lightweight":[8],"machine":[9,23],"learning":[10,24],"solutions":[11],"has":[12],"increased":[13],"recently.":[14],"Tree":[15],"ensembles":[16],"are":[17,30,49],"among":[18],"state-of-the-art":[20],"in":[21,53,199],"many":[22],"applications.":[25],"While":[26],"single":[27],"decision":[28,72,103],"trees":[29,36],"comparably":[31],"small,":[32],"an":[33,122,149],"ensemble":[34,135],"of":[35,55,65,71,102,162,175],"can":[37],"have":[38],"a":[39,85,99,137,197],"significant":[40],"memory":[41,88,110,194],"footprint":[42],"leading":[43],"to":[44,51,90,106,125,203,212],"cache":[45],"locality":[46],"issues,":[47],"which":[48,144],"crucial":[50],"performance":[52],"terms":[54],"execution":[56,200,206],"time.":[57],"In":[58],"this":[59],"work,":[60],"we":[61,120,170],"analyze":[62],"memory-locality":[63],"issues":[64],"two":[67],"most":[68],"common":[69],"realizations":[70,83,178],"trees,":[73],"i.e.,":[74],"native":[75],"and":[76,94,160,189,210],"if-else":[77],"trees.":[78,164],"We":[79,97],"highlight":[80],"that":[81],"both":[82],"more":[86],"careful":[87],"layout":[89,111,195],"improve":[91],"caching":[92],"behavior":[93],"maximize":[95],"performance.":[96],"adopt":[98],"probabilistic":[100],"model":[101],"tree":[104,114,177],"inference":[105],"find":[107],"best":[109],"each":[113],"at":[115],"application":[117],"layer.":[118],"Further,":[119],"present":[121],"heuristic":[124],"take":[126],"architecture-dependent":[127],"information":[128],"into":[129],"account":[130],"thereby":[131],"optimizing":[132],"given":[134],"target":[138],"computer":[139],"architecture.":[140],"Our":[141,192],"code-generation":[142],"framework,":[143],"is":[145],"freely":[146],"available":[147],"on":[148,179],"open-source":[150],"repository,":[151],"produces":[152],"optimized":[153,193],"code":[154],"sessions":[155],"while":[156],"preserving":[157],"structure":[159],"accuracy":[161],"With":[165],"several":[166],"real-world":[167],"data":[168],"sets,":[169],"evaluate":[171],"elapsed":[173],"time":[174,201],"various":[176],"server":[180],"hardware":[181],"as":[182,184],"well":[183],"embedded":[185,216],"systems":[186],"Intel":[188],"ARM":[190],"processors.":[191],"achieves":[196],"reduction":[198],"up":[202,211],"75":[204],"%":[205,214],"server-class":[208],"systems,":[209,217],"70":[213],"respectively.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}