{"id":"https://openalex.org/W7147456175","doi":"https://doi.org/10.48550/arxiv.2603.29913","title":"SISA: A Scale-In Systolic Array for GEMM Acceleration","display_name":"SISA: A Scale-In Systolic Array for GEMM Acceleration","publication_year":2026,"publication_date":"2026-03-31","ids":{"openalex":"https://openalex.org/W7147456175","doi":"https://doi.org/10.48550/arxiv.2603.29913"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.29913","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29913","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.29913","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034885583","display_name":"Luigi Altamura","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Altamura, Luigi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132556019","display_name":"Alessio Cicero","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cicero, Alessio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132673270","display_name":"Mateo V\u00e1zquez Maceiras","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maceiras, Mateo V\u00e1zquez","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052702825","display_name":"Mohammad Ali Maleki","orcid":"https://orcid.org/0000-0002-9019-3605"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maleki, Mohammad Ali","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5043427541","display_name":"Pedro Trancoso","orcid":"https://orcid.org/0000-0002-2776-9253"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Trancoso, Pedro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"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":0.4821999967098236,"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":0.4821999967098236,"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":0.11810000240802765,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.08470000326633453,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/systolic-array","display_name":"Systolic array","score":0.8111000061035156},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6269000172615051},{"id":"https://openalex.org/keywords/square","display_name":"Square (algebra)","score":0.590499997138977},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5590000152587891},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5031999945640564},{"id":"https://openalex.org/keywords/multiplication","display_name":"Multiplication (music)","score":0.47929999232292175},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.44179999828338623},{"id":"https://openalex.org/keywords/square-matrix","display_name":"Square matrix","score":0.43560001254081726}],"concepts":[{"id":"https://openalex.org/C150741067","wikidata":"https://www.wikidata.org/wiki/Q2377218","display_name":"Systolic array","level":3,"score":0.8111000061035156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6776999831199646},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.633899986743927},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6269000172615051},{"id":"https://openalex.org/C135692309","wikidata":"https://www.wikidata.org/wiki/Q111124","display_name":"Square (algebra)","level":2,"score":0.590499997138977},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5590000152587891},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5031999945640564},{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.47929999232292175},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.44179999828338623},{"id":"https://openalex.org/C69044650","wikidata":"https://www.wikidata.org/wiki/Q2739329","display_name":"Square matrix","level":4,"score":0.43560001254081726},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4291999936103821},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4016000032424927},{"id":"https://openalex.org/C106515295","wikidata":"https://www.wikidata.org/wiki/Q26806595","display_name":"Parallel processing","level":2,"score":0.40149998664855957},{"id":"https://openalex.org/C2781172179","wikidata":"https://www.wikidata.org/wiki/Q853109","display_name":"Parallelism (grammar)","level":2,"score":0.400299996137619},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.3978999853134155},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.37630000710487366},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3540000021457672},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3467999994754791},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.28529998660087585},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.27219998836517334},{"id":"https://openalex.org/C120373497","wikidata":"https://www.wikidata.org/wiki/Q1087987","display_name":"Parallel algorithm","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.29913","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29913","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.29913","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29913","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6141439080238342,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"currently":[1],"dominant":[2],"AI/ML":[3],"workloads,":[4],"such":[5],"as":[6],"Large":[7],"Language":[8],"Models":[9],"(LLMs),":[10],"rely":[11],"on":[12,33],"the":[13,81,136],"efficient":[14,100],"execution":[15,101],"of":[16,38,102,139],"General":[17],"Matrix-Matrix":[18],"Multiplication":[19],"(GEMM)":[20],"operations.":[21],"Thus,":[22],"most":[23],"systems":[24],"are":[25],"equipped":[26],"with":[27,135],"dedicated":[28],"matrix":[29,106],"hardware":[30],"accelerators":[31],"based":[32],"square":[34,83],"Systolic":[35,73],"Arrays":[36],"(SAs)":[37],"Processing":[39],"Elements":[40],"(PEs).":[41],"While":[42],"this":[43,67],"organization":[44],"was":[45],"effective":[46],"for":[47,99,112,126],"traditional":[48,82],"Deep":[49],"Neural":[50],"Networks":[51],"(DNNs),":[52],"LLMs":[53,128],"introduce":[54],"input-dependent":[55],"and":[56,121],"highly":[57],"skewed":[58,105],"matrices,":[59],"leading":[60],"to":[61,118,130],"underutilized":[62],"SA":[63,77,134],"resources.":[64],"To":[65],"address":[66],"challenge,":[68],"we":[69],"propose":[70],"SISA":[71,92,115],"(Scale-In":[72],"Array),":[74],"a":[75,131],"novel":[76],"architecture":[78],"that":[79],"partitions":[80],"array":[84],"into":[85],"horizontal":[86],"rectangular":[87],"slabs.":[88],"With":[89],"minimal":[90],"overhead,":[91],"exposes":[93],"parallelism":[94],"through":[95],"independently":[96],"scheduled":[97],"slabs":[98],"small":[103],"or":[104],"shapes,":[107],"while":[108],"retaining":[109],"full-array":[110],"operation":[111],"large":[113],"GEMMs.":[114],"achieves":[116],"up":[117],"8.52x":[119],"speedup":[120],"93%":[122],"energy-delay-product":[123],"(EDP)":[124],"reduction":[125],"representative":[127],"compared":[129],"state-of-the-art":[132],"monolithic":[133],"same":[137],"number":[138],"PEs.":[140]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-02T00:00:00"}