{"id":"https://openalex.org/W4391315832","doi":"https://doi.org/10.1145/3643597","title":"ABSS: An Adaptive Batch-Stream Scheduling Module for Dynamic Task Parallelism on Chiplet-based Multi-Chip Systems","display_name":"ABSS: An Adaptive Batch-Stream Scheduling Module for Dynamic Task Parallelism on Chiplet-based Multi-Chip Systems","publication_year":2024,"publication_date":"2024-01-29","ids":{"openalex":"https://openalex.org/W4391315832","doi":"https://doi.org/10.1145/3643597"},"language":"en","primary_location":{"id":"doi:10.1145/3643597","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3643597","pdf_url":null,"source":{"id":"https://openalex.org/S2483380313","display_name":"ACM Transactions on Parallel Computing","issn_l":"2329-4949","issn":["2329-4949","2329-4957"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Parallel Computing","raw_type":"journal-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/A5102922586","display_name":"Qinyun Cai","orcid":"https://orcid.org/0000-0001-7642-457X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinyun Cai","raw_affiliation_strings":["Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-7642-457X","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107094004","display_name":"Guoqing Xiao","orcid":"https://orcid.org/0000-0001-5008-4829"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqing Xiao","raw_affiliation_strings":["Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-5008-4829","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085878424","display_name":"Shengle Lin","orcid":"https://orcid.org/0000-0003-3329-0924"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengle Lin","raw_affiliation_strings":["Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-3329-0924","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016247312","display_name":"Wangdong Yang","orcid":"https://orcid.org/0000-0003-2681-7898"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangdong Yang","raw_affiliation_strings":["Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2681-7898","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087894632","display_name":"Keqin Li","orcid":"https://orcid.org/0000-0001-5224-4048"},"institutions":[{"id":"https://openalex.org/I1327163397","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08","country_code":"US","type":"education","lineage":["https://openalex.org/I1327163397"]},{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Keqin Li","raw_affiliation_strings":["Hunan University, Changsha, China","State University of New York, NY, USA and Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-5224-4048","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"State University of New York, NY, USA and Hunan University, Changsha, China","institution_ids":["https://openalex.org/I1327163397","https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078793726","display_name":"Kenli Li","orcid":"https://orcid.org/0000-0002-2635-7716"},"institutions":[{"id":"https://openalex.org/I1327163397","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08","country_code":"US","type":"education","lineage":["https://openalex.org/I1327163397"]},{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Kenli Li","raw_affiliation_strings":["Hunan University, Changsha, China","State University of New York, NY, USA and Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-2635-7716","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"State University of New York, NY, USA and Hunan University, Changsha, China","institution_ids":["https://openalex.org/I1327163397","https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1851,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7484435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"11","issue":"1","first_page":"1","last_page":"24"},"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9991000294685364,"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9987999796867371,"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":0.8734973669052124},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6152280569076538},{"id":"https://openalex.org/keywords/task-parallelism","display_name":"Task parallelism","score":0.6089274883270264},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5491061210632324},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5176637768745422},{"id":"https://openalex.org/keywords/data-parallelism","display_name":"Data parallelism","score":0.5052745938301086},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.45945674180984497},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.4472818076610565},{"id":"https://openalex.org/keywords/stream-processing","display_name":"Stream processing","score":0.41729050874710083},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3932958245277405},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3457950949668884},{"id":"https://openalex.org/keywords/parallelism","display_name":"Parallelism (grammar)","score":0.24947047233581543},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.18604695796966553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8734973669052124},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6152280569076538},{"id":"https://openalex.org/C42992933","wikidata":"https://www.wikidata.org/wiki/Q691169","display_name":"Task parallelism","level":3,"score":0.6089274883270264},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5491061210632324},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5176637768745422},{"id":"https://openalex.org/C61483411","wikidata":"https://www.wikidata.org/wiki/Q3124522","display_name":"Data parallelism","level":3,"score":0.5052745938301086},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.45945674180984497},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.4472818076610565},{"id":"https://openalex.org/C107027933","wikidata":"https://www.wikidata.org/wiki/Q2006448","display_name":"Stream processing","level":2,"score":0.41729050874710083},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3932958245277405},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3457950949668884},{"id":"https://openalex.org/C2781172179","wikidata":"https://www.wikidata.org/wiki/Q853109","display_name":"Parallelism (grammar)","level":2,"score":0.24947047233581543},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.18604695796966553},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3643597","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3643597","pdf_url":null,"source":{"id":"https://openalex.org/S2483380313","display_name":"ACM Transactions on Parallel Computing","issn_l":"2329-4949","issn":["2329-4949","2329-4957"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Parallel Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G4672455051","display_name":null,"funder_award_id":"62321003, U21A20461, 62172157, 92055213, 62227808","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W320927244","https://openalex.org/W1536852470","https://openalex.org/W1975025054","https://openalex.org/W2019380637","https://openalex.org/W2035080386","https://openalex.org/W2058331587","https://openalex.org/W2091905905","https://openalex.org/W2108801243","https://openalex.org/W2135063076","https://openalex.org/W2135653967","https://openalex.org/W2467057949","https://openalex.org/W2776690916","https://openalex.org/W2945166732","https://openalex.org/W3036082746","https://openalex.org/W3040760731","https://openalex.org/W3119775030","https://openalex.org/W3166510811","https://openalex.org/W3183970932","https://openalex.org/W3209203812","https://openalex.org/W4205190765","https://openalex.org/W4210835461","https://openalex.org/W4240517907","https://openalex.org/W4280498518","https://openalex.org/W4280633094","https://openalex.org/W4321222463","https://openalex.org/W4381890973","https://openalex.org/W6680007323"],"related_works":["https://openalex.org/W4240606930","https://openalex.org/W2494130044","https://openalex.org/W1972271823","https://openalex.org/W2003935582","https://openalex.org/W1501159154","https://openalex.org/W4399872414","https://openalex.org/W2950520577","https://openalex.org/W74409296","https://openalex.org/W2040503315","https://openalex.org/W2177166030"],"abstract_inverted_index":{"Thanks":[0],"to":[1,30,77,103],"the":[2,24,79,93,122],"recognition":[3],"and":[4,97],"promotion":[5],"of":[6],"chiplet-based":[7,18,57,87,111,125],"High-Performance":[8],"Computing":[9],"(HPC)":[10],"system":[11],"design":[12,85],"technology":[13],"by":[14],"semiconductor":[15],"industry/market":[16],"leaders,":[17],"multi-chip":[19,58,126],"systems":[20,29],"have":[21],"gradually":[22],"become":[23],"mainstream.":[25],"Unfortunately,":[26],"programming":[27],"such":[28,136],"achieve":[31,104],"efficient":[32],"computing":[33],"is":[34],"a":[35,86,110],"challenge,":[36],"especially":[37],"when":[38],"considering":[39],"dynamic":[40,53,105],"task":[41,54,113],"parallelism.":[42],"This":[43],"paper":[44],"presents":[45],"an":[46,65],"Adaptive":[47],"Batch-Stream":[48],"Scheduling":[49],"(ABSS)":[50],"module":[51,120],"for":[52],"parallelism":[55,134],"on":[56,71,99,121],"systems.":[59],"To":[60],"this":[61],"end,":[62],"we":[63,108],"propose":[64,109],"adaptive":[66],"batch-stream":[67],"scheduling":[68,81],"method":[69],"based":[70],"Graph":[72],"Convolution":[73],"Network":[74],"(GCN)":[75],"classifier":[76],"select":[78],"appropriate":[80],"scheme.":[82],"We":[83,116],"further":[84],"core-cluster":[88],"binding":[89],"mechanism,":[90],"which":[91],"establishes":[92],"affinity":[94],"between":[95],"threads":[96],"core-clusters":[98],"CPU-compute":[100],"die.":[101],"Moreover,":[102],"workload":[106],"balance,":[107],"nearest":[112],"stealing":[114],"method.":[115],"implement":[117],"our":[118],"ABSS":[119],"HiSilicon":[123],"Kunpeng-920":[124],"system.":[127],"Experiments":[128],"show":[129],"that":[130],"it":[131],"outperforms":[132],"state-of-the-art":[133],"solutions,":[135],"as":[137],"Intel":[138],"Threading":[139],"Building":[140],"Blocks.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}