{"id":"https://openalex.org/W7162335232","doi":"https://doi.org/10.48550/arxiv.2605.22936","title":"ACALSim: A Scalable Parallel Simulation Framework for High-Performance System Design Space Exploration","display_name":"ACALSim: A Scalable Parallel Simulation Framework for High-Performance System Design Space Exploration","publication_year":2026,"publication_date":"2026-05-21","ids":{"openalex":"https://openalex.org/W7162335232","doi":"https://doi.org/10.48550/arxiv.2605.22936"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.22936","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.22936","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.22936","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136920888","display_name":"Wei-Fen Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Wei-Fen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054082582","display_name":"Jen-Chien Chang","orcid":"https://orcid.org/0000-0002-6986-8479"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang, Jen-Chien","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101470780","display_name":"Yen\u2010Po Chen","orcid":"https://orcid.org/0000-0001-9382-4858"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yen-Po","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098402080","display_name":"Zi-Yi Tai","orcid":"https://orcid.org/0009-0007-9399-8605"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tai, Zi-Yi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101782907","display_name":"Yu\u2010Cheng Chang","orcid":"https://orcid.org/0009-0000-1760-2719"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang, Yu-Cheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127829908","display_name":"Chia-Pao Chiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chiang, Chia-Pao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136961137","display_name":"Yu-Yang Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Yu-Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136957615","display_name":"Yu-Jie Wan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wan, Yu-Jie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9508000016212463,"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":0.9508000016212463,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.010300000198185444,"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":0.008999999612569809,"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/scalability","display_name":"Scalability","score":0.8288999795913696},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7659000158309937},{"id":"https://openalex.org/keywords/design-space-exploration","display_name":"Design space exploration","score":0.7603999972343445},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5616000294685364},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5558000206947327},{"id":"https://openalex.org/keywords/thread","display_name":"Thread (computing)","score":0.48100000619888306},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.46070000529289246},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.38190001249313354},{"id":"https://openalex.org/keywords/multithreading","display_name":"Multithreading","score":0.3774000108242035},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.37209999561309814}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.8288999795913696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.804099977016449},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7659000158309937},{"id":"https://openalex.org/C2776221188","wikidata":"https://www.wikidata.org/wiki/Q21072556","display_name":"Design space exploration","level":2,"score":0.7603999972343445},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5616000294685364},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5558000206947327},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.48100000619888306},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.46230000257492065},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.46070000529289246},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.45890000462532043},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.447299987077713},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.38190001249313354},{"id":"https://openalex.org/C201410400","wikidata":"https://www.wikidata.org/wiki/Q1064412","display_name":"Multithreading","level":3,"score":0.3774000108242035},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.37209999561309814},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3671000003814697},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3626999855041504},{"id":"https://openalex.org/C2776834041","wikidata":"https://www.wikidata.org/wiki/Q25346349","display_name":"Execution model","level":2,"score":0.35350000858306885},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3449999988079071},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.32710000872612},{"id":"https://openalex.org/C104060986","wikidata":"https://www.wikidata.org/wiki/Q180046","display_name":"Space exploration","level":2,"score":0.3199000060558319},{"id":"https://openalex.org/C15296174","wikidata":"https://www.wikidata.org/wiki/Q7575343","display_name":"Speculative multithreading","level":4,"score":0.3147999942302704},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29420000314712524},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.29159998893737793},{"id":"https://openalex.org/C144240696","wikidata":"https://www.wikidata.org/wiki/Q367204","display_name":"Address space","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C200307862","wikidata":"https://www.wikidata.org/wiki/Q7797175","display_name":"Threading (protein sequence)","level":3,"score":0.2696000039577484},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C147203929","wikidata":"https://www.wikidata.org/wiki/Q574814","display_name":"Discrete event simulation","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.2581000030040741},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.22936","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.22936","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.22936","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.22936","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.6603224277496338,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Architectural":[0],"simulation":[1,30,80,117],"has":[2],"become":[3],"the":[4,94],"critical":[5],"bottleneck":[6],"limiting":[7],"design":[8,229],"space":[9,230],"exploration":[10,231],"for":[11,65,70,86,150,220,225],"high-performance":[12,88],"computing":[13],"systems.":[14],"Modern":[15],"GPUs":[16],"and":[17,36,84,143,222],"AI":[18],"accelerators":[19],"--":[20,28,90,227],"with":[21,52,129,183,194],"hundreds":[22],"to":[23,67,115,131,174,200],"thousands":[24],"of":[25,96],"tightly-coupled":[26],"components":[27],"demand":[29],"frameworks":[31,41],"that":[32,107,232],"deliver":[33],"efficient":[34],"parallelism":[35],"scalable":[37,78],"single-node":[38],"execution.":[39],"Existing":[40],"fall":[42],"short:":[43],"SST":[44,167,198,233],"focuses":[45],"on":[46],"multi-node":[47],"MPI":[48],"scalability":[49],"but":[50],"struggles":[51],"intra-node":[53],"scaling,":[54],"while":[55],"GPGPU-Sim":[56],"remains":[57,93],"largely":[58],"single-threaded.":[59],"Critically,":[60],"none":[61],"expose":[62],"a":[63,77,103,136,145,159],"mechanism":[64],"users":[66],"optimize":[68],"threading":[69],"their":[71],"specific":[72,116],"workloads.":[73],"We":[74,154],"introduce":[75],"ACALSim,":[76],"parallel":[79,147],"framework":[81,176],"providing":[82],"infrastructure":[83],"APIs":[85],"building":[87],"simulators":[89],"timing-model":[91],"accuracy":[92],"responsibility":[95],"simulator":[97,161],"developers.":[98],"Its":[99],"key":[100],"innovation":[101],"is":[102],"pluggable":[104],"thread-management":[105],"architecture":[106],"lets":[108],"developers":[109],"implement":[110],"custom":[111],"scheduling":[112],"strategies":[113],"tailored":[114],"patterns,":[118],"absent":[119],"in":[120,217],"existing":[121],"frameworks.":[122],"Complementing":[123],"it":[124],"are":[125],"(1)":[126],"event-driven":[127],"execution":[128,148],"fast-forward":[130],"eliminate":[132],"idle-cycle":[133],"overhead,":[134,177],"(2)":[135],"shared-memory":[137],"data":[138],"model":[139,149],"enabling":[140,228],"zero-copy":[141],"communication,":[142],"(3)":[144],"two-phase":[146],"deterministic":[151],"thread":[152],"scaling.":[153],"demonstrate":[155],"ACALSim":[156,178,209],"through":[157],"HPCSim,":[158],"GPU":[160],"targeting":[162],"A100-class":[163],"architectures.":[164],"Against":[165],"an":[166],"implementation":[168],"using":[169],"identical":[170],"shared":[171],"timing":[172],"cores":[173],"isolate":[175],"achieves":[179],"over":[180],"14x":[181],"speedup":[182],"41%":[184],"lower":[185],"memory":[186],"footprint;":[187],"hardware":[188],"validation":[189],"confirms":[190],"0.72--1.22x":[191],"cycle-count":[192],"correlation":[193],"A100":[195],"measurements.":[196],"While":[197],"fails":[199],"complete":[201],"256+":[202],"thread-block":[203],"workloads":[204],"within":[205],"practical":[206],"time":[207],"limits,":[208],"simulates":[210],"full":[211],"LLaMA":[212],"transformer":[213],"layers":[214],"(single":[215],"block)":[216],"17.7":[218],"minutes":[219,224],"LLaMA-7B":[221],"30.4":[223],"LLaMA-13B":[226],"cannot":[234],"achieve.":[235]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-26T00:00:00"}
