{"id":"https://openalex.org/W4387323274","doi":"https://doi.org/10.1145/3613424.3623793","title":"Tailors: Accelerating Sparse Tensor Algebra by Overbooking Buffer Capacity","display_name":"Tailors: Accelerating Sparse Tensor Algebra by Overbooking Buffer Capacity","publication_year":2023,"publication_date":"2023-10-28","ids":{"openalex":"https://openalex.org/W4387323274","doi":"https://doi.org/10.1145/3613424.3623793"},"language":"en","primary_location":{"id":"doi:10.1145/3613424.3623793","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613424.3623793","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"56th Annual IEEE/ACM International Symposium on Microarchitecture","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3613424.3623793","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042073171","display_name":"Zi Yu Xue","orcid":"https://orcid.org/0000-0001-5236-2829"},"institutions":[{"id":"https://openalex.org/I4210109586","display_name":"Moscow Institute of Thermal Technology","ror":"https://ror.org/021es5e59","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210109586"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Zi Yu Xue","raw_affiliation_strings":["MIT, US"],"raw_orcid":"https://orcid.org/0000-0001-5236-2829","affiliations":[{"raw_affiliation_string":"MIT, US","institution_ids":["https://openalex.org/I4210109586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050803970","display_name":"Yannan Nellie Wu","orcid":"https://orcid.org/0009-0001-0933-4600"},"institutions":[{"id":"https://openalex.org/I4210109586","display_name":"Moscow Institute of Thermal Technology","ror":"https://ror.org/021es5e59","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210109586"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Yannan Nellie Wu","raw_affiliation_strings":["MIT, US"],"raw_orcid":"https://orcid.org/0009-0001-0933-4600","affiliations":[{"raw_affiliation_string":"MIT, US","institution_ids":["https://openalex.org/I4210109586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024384625","display_name":"Joel Emer","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joel S. Emer","raw_affiliation_strings":["MIT, US and NVIDIA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3459-5466","affiliations":[{"raw_affiliation_string":"MIT, US and NVIDIA, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066351389","display_name":"Vivienne Sze","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109586","display_name":"Moscow Institute of Thermal Technology","ror":"https://ror.org/021es5e59","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210109586"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vivienne Sze","raw_affiliation_strings":["MIT, US"],"raw_orcid":"https://orcid.org/0000-0003-4841-3990","affiliations":[{"raw_affiliation_string":"MIT, US","institution_ids":["https://openalex.org/I4210109586"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1347","last_page":"1363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9987000226974487,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9958999752998352,"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":0.7146288156509399},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6225989460945129},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.6121638417243958},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.608922004699707},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5338975191116333},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4541662335395813},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.4196191430091858},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3622896373271942},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19280993938446045},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1910233199596405},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11305823922157288}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7146288156509399},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6225989460945129},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.6121638417243958},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.608922004699707},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5338975191116333},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4541662335395813},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.4196191430091858},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3622896373271942},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19280993938446045},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1910233199596405},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11305823922157288},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3613424.3623793","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613424.3623793","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"56th Annual IEEE/ACM International Symposium on Microarchitecture","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2310.00192","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.00192","pdf_url":"https://arxiv.org/pdf/2310.00192","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:dspace.mit.edu:1721.1/153274","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/153274","pdf_url":"https://dspace.mit.edu/bitstream/1721.1/153274/1/3613424.3623793.pdf","source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"http://purl.org/eprint/type/ConferencePaper"},{"id":"pmh:oai:dspace.mit.edu:1721.1/156305","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/156305","pdf_url":"https://dspace.mit.edu/bitstream/1721.1/156305/1/xue-fzyxue-sm-eecs-2024-thesis.pdf","source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"}],"best_oa_location":{"id":"doi:10.1145/3613424.3623793","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613424.3623793","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"56th Annual IEEE/ACM International Symposium on Microarchitecture","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W382556209","https://openalex.org/W1526797232","https://openalex.org/W1537694189","https://openalex.org/W2020300476","https://openalex.org/W2022128349","https://openalex.org/W2047128179","https://openalex.org/W2098382852","https://openalex.org/W2099912705","https://openalex.org/W2102476121","https://openalex.org/W2110295511","https://openalex.org/W2111347866","https://openalex.org/W2112678088","https://openalex.org/W2120017944","https://openalex.org/W2121564430","https://openalex.org/W2126521023","https://openalex.org/W2148831941","https://openalex.org/W2155178858","https://openalex.org/W2239894058","https://openalex.org/W2317543757","https://openalex.org/W2499702955","https://openalex.org/W2597028224","https://openalex.org/W2733054703","https://openalex.org/W2775246207","https://openalex.org/W2782507607","https://openalex.org/W2794952988","https://openalex.org/W2906043559","https://openalex.org/W2921480401","https://openalex.org/W2925491732","https://openalex.org/W2940862705","https://openalex.org/W2945146780","https://openalex.org/W2949674408","https://openalex.org/W2980186997","https://openalex.org/W2998570630","https://openalex.org/W2998732502","https://openalex.org/W3016542674","https://openalex.org/W3016832937","https://openalex.org/W3103168911","https://openalex.org/W3105802176","https://openalex.org/W3121828480","https://openalex.org/W3155922894","https://openalex.org/W3185702163","https://openalex.org/W4232315234","https://openalex.org/W4244668938","https://openalex.org/W4252597626","https://openalex.org/W4253438286","https://openalex.org/W4300171661","https://openalex.org/W4308083753","https://openalex.org/W4318541582","https://openalex.org/W4321487451","https://openalex.org/W4327930517"],"related_works":["https://openalex.org/W2384475851","https://openalex.org/W2000444236","https://openalex.org/W2353602216","https://openalex.org/W2367078749","https://openalex.org/W2381798600","https://openalex.org/W1910583078","https://openalex.org/W2351618306","https://openalex.org/W2133117170","https://openalex.org/W2999162218","https://openalex.org/W1537443268"],"abstract_inverted_index":{"Sparse":[0],"tensor":[1,22],"algebra":[2,23],"is":[3],"a":[4,44],"challenging":[5],"class":[6],"of":[7,57],"workloads":[8],"to":[9,12,30,75],"accelerate":[10],"due":[11],"low":[13],"arithmetic":[14],"intensity":[15],"and":[16,35,61],"varying":[17],"sparsity":[18],"patterns.":[19],"Prior":[20],"sparse":[21,28],"accelerators":[24,66],"have":[25],"explored":[26],"tiling":[27,69],"data":[29,33,50,63],"increase":[31],"exploitable":[32],"reuse":[34],"improve":[36],"throughput,":[37],"but":[38],"typically":[39],"allocate":[40],"tile":[41,79],"size":[42,80],"in":[43],"given":[45],"buffer":[46],"for":[47],"the":[48,55,77],"worst-case":[49],"occupancy.":[51,84],"This":[52],"severely":[53],"limits":[54],"utilization":[56],"available":[58],"memory":[59],"resources":[60],"reduces":[62],"reuse.":[64],"Other":[65],"employ":[67],"complex":[68],"during":[70],"preprocessing":[71],"or":[72],"at":[73],"runtime":[74],"determine":[76],"exact":[78],"based":[81],"on":[82],"its":[83]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
