{"id":"https://openalex.org/W7160219199","doi":"https://doi.org/10.48550/arxiv.2605.00555","title":"Sim-FA: A GPGPU Simulator Framework for Fine-Grained FlashAttention Pipeline Analysis","display_name":"Sim-FA: A GPGPU Simulator Framework for Fine-Grained FlashAttention Pipeline Analysis","publication_year":2026,"publication_date":"2026-05-01","ids":{"openalex":"https://openalex.org/W7160219199","doi":"https://doi.org/10.48550/arxiv.2605.00555"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.00555","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.00555","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"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.2605.00555","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028367760","display_name":"Zhongchun Zhou","orcid":"https://orcid.org/0009-0000-7037-7418"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Zhongchun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135271067","display_name":"Yuhang Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gu, Yuhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101722744","display_name":"Chengtao Lai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lai, Chengtao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135152689","display_name":"Ya Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Ya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135104398","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0003-4371-3791"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Wei","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":0.7269999980926514,"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":0.7269999980926514,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.06639999896287918,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.05609999969601631,"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/pipeline","display_name":"Pipeline (software)","score":0.6133000254631042},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4821999967098236},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.4253999888896942},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.4235000014305115},{"id":"https://openalex.org/keywords/compiler","display_name":"Compiler","score":0.38600000739097595},{"id":"https://openalex.org/keywords/dram","display_name":"Dram","score":0.364300012588501},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.36000001430511475},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.33469998836517334},{"id":"https://openalex.org/keywords/programming-paradigm","display_name":"Programming paradigm","score":0.31949999928474426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7682999968528748},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6133000254631042},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4821999967098236},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.4253999888896942},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.4235000014305115},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.38600000739097595},{"id":"https://openalex.org/C7366592","wikidata":"https://www.wikidata.org/wiki/Q1255620","display_name":"Dram","level":2,"score":0.364300012588501},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.36000001430511475},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3407999873161316},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3357999920845032},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.33469998836517334},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3215000033378601},{"id":"https://openalex.org/C34165917","wikidata":"https://www.wikidata.org/wiki/Q188267","display_name":"Programming paradigm","level":2,"score":0.31949999928474426},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3077999949455261},{"id":"https://openalex.org/C118530786","wikidata":"https://www.wikidata.org/wiki/Q1134732","display_name":"Instrumentation (computer programming)","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C201203610","wikidata":"https://www.wikidata.org/wiki/Q5157524","display_name":"Computer architecture simulator","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.29600000381469727},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.25429999828338623},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.2526000142097473},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.2526000142097473},{"id":"https://openalex.org/C32155586","wikidata":"https://www.wikidata.org/wiki/Q212569","display_name":"Simula","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.00555","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.00555","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.00555","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.00555","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6623651385307312}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"To":[0,44],"efficiently":[1],"support":[2,56,77],"Large":[3],"Language":[4],"Models":[5],"(LLMs),":[6],"modern":[7],"GPGPU":[8],"architectures":[9],"have":[10],"introduced":[11],"new":[12,58,88],"features":[13,22],"and":[14,29,37,49,140,158],"programming":[15],"paradigms,":[16],"such":[17,92],"as":[18,31,33,93],"warp":[19],"specialization.":[20],"These":[21],"enable":[23],"temporal":[24],"overlap":[25],"between":[26,34],"the":[27,94],"producer":[28],"consumer,":[30],"well":[32],"matrix":[35],"multiplication":[36],"activation":[38],"function":[39],"operations,":[40],"substantially":[41],"improving":[42],"performance.":[43],"conduct":[45],"effective":[46],"AI":[47],"infrastructure":[48],"computer":[50],"architecture":[51],"research,":[52],"cycle-accurate":[53,83,127],"simulators":[54,84],"that":[55,64],"these":[57,79],"features,":[59,91],"together":[60],"with":[61],"analytical":[62,105,162],"models":[63,106,163],"faithfully":[65],"capture":[66],"workload":[67],"characteristics,":[68],"are":[69],"essential.":[70],"However,":[71],"existing":[72,104,161],"academic":[73],"tools":[74],"provide":[75,152],"limited":[76],"for":[78],"emerging":[80],"requirements.":[81],"Existing":[82],"do":[85],"not":[86],"incorporate":[87],"NVIDIA":[89],"GPU":[90],"Tensor":[95],"Memory":[96],"Accelerator":[97],"(TMA),":[98],"in":[99],"a":[100,119,132,141,153],"timely":[101],"manner.":[102],"Moreover,":[103],"can":[107,164],"misestimate":[108],"DRAM":[109],"traffic":[110,167],"under":[111],"certain":[112],"configurations.":[113],"In":[114],"this":[115],"paper,":[116],"we":[117],"build":[118],"simulation":[120],"pipeline":[121],"from":[122],"FlashAttention-3":[123,157],"kernel":[124],"instrumentation":[125],"to":[126],"simulation.":[128],"The":[129],"simulator":[130],"achieves":[131],"mean":[133],"absolute":[134,143],"percentage":[135,144],"error":[136,145],"(MAPE)":[137],"of":[138,146,156],"5.7\\%":[139],"maximum":[142],"12.7\\%":[147],"against":[148],"H800.":[149],"We":[150],"also":[151],"theoretical":[154],"analysis":[155],"explain":[159],"why":[160],"produce":[165],"inaccurate":[166],"estimates.":[168]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-05T00:00:00"}