{"id":"https://openalex.org/W4386764135","doi":"https://doi.org/10.1109/dac56929.2023.10247799","title":"TF-MVP: Novel Sparsity-Aware Transformer Accelerator with Mixed-Length Vector Pruning","display_name":"TF-MVP: Novel Sparsity-Aware Transformer Accelerator with Mixed-Length Vector Pruning","publication_year":2023,"publication_date":"2023-07-09","ids":{"openalex":"https://openalex.org/W4386764135","doi":"https://doi.org/10.1109/dac56929.2023.10247799"},"language":"en","primary_location":{"id":"doi:10.1109/dac56929.2023.10247799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac56929.2023.10247799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 60th ACM/IEEE Design Automation Conference (DAC)","raw_type":"proceedings-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/A5092876724","display_name":"Eunji Yoo","orcid":null},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Eunji Yoo","raw_affiliation_strings":["Pohang University of Science and Technology,Pohang,Republic of Korea","Pohang University of Science and Technology, Pohang, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology,Pohang,Republic of Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Pohang University of Science and Technology, Pohang, Republic of Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011127697","display_name":"Gunho Park","orcid":"https://orcid.org/0000-0002-8078-4356"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gunho Park","raw_affiliation_strings":["Pohang University of Science and Technology,Pohang,Republic of Korea","Pohang University of Science and Technology, Pohang, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology,Pohang,Republic of Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Pohang University of Science and Technology, Pohang, Republic of Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054969514","display_name":"Jung Gyu Min","orcid":null},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jung Gyu Min","raw_affiliation_strings":["Pohang University of Science and Technology,Pohang,Republic of Korea","Pohang University of Science and Technology, Pohang, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology,Pohang,Republic of Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Pohang University of Science and Technology, Pohang, Republic of Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055490416","display_name":"Se Jung Kwon","orcid":"https://orcid.org/0000-0003-3456-9038"},"institutions":[{"id":"https://openalex.org/I60922564","display_name":"Naver (South Korea)","ror":"https://ror.org/04nzrnx83","country_code":"KR","type":"company","lineage":["https://openalex.org/I60922564"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Se Jung Kwon","raw_affiliation_strings":["NAVER Cloud,Seongnam,Republic of Korea","NAVER Cloud, Seongnam, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"NAVER Cloud,Seongnam,Republic of Korea","institution_ids":["https://openalex.org/I60922564"]},{"raw_affiliation_string":"NAVER Cloud, Seongnam, Republic of Korea","institution_ids":["https://openalex.org/I60922564"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041525085","display_name":"Baeseong Park","orcid":null},"institutions":[{"id":"https://openalex.org/I60922564","display_name":"Naver (South Korea)","ror":"https://ror.org/04nzrnx83","country_code":"KR","type":"company","lineage":["https://openalex.org/I60922564"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Baeseong Park","raw_affiliation_strings":["NAVER Cloud,Seongnam,Republic of Korea","NAVER Cloud, Seongnam, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"NAVER Cloud,Seongnam,Republic of Korea","institution_ids":["https://openalex.org/I60922564"]},{"raw_affiliation_string":"NAVER Cloud, Seongnam, Republic of Korea","institution_ids":["https://openalex.org/I60922564"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101652725","display_name":"Dongsoo Lee","orcid":"https://orcid.org/0000-0002-4155-6940"},"institutions":[{"id":"https://openalex.org/I60922564","display_name":"Naver (South Korea)","ror":"https://ror.org/04nzrnx83","country_code":"KR","type":"company","lineage":["https://openalex.org/I60922564"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongsoo Lee","raw_affiliation_strings":["NAVER Cloud,Seongnam,Republic of Korea","NAVER Cloud, Seongnam, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"NAVER Cloud,Seongnam,Republic of Korea","institution_ids":["https://openalex.org/I60922564"]},{"raw_affiliation_string":"NAVER Cloud, Seongnam, Republic of Korea","institution_ids":["https://openalex.org/I60922564"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048891431","display_name":"Youngjoo Lee","orcid":"https://orcid.org/0000-0002-2467-8276"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngjoo Lee","raw_affiliation_strings":["Pohang University of Science and Technology,Pohang,Republic of Korea","Pohang University of Science and Technology, Pohang, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Pohang University of Science and Technology,Pohang,Republic of Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Pohang University of Science and Technology, Pohang, Republic of Korea","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5092876724"],"corresponding_institution_ids":["https://openalex.org/I123900574"],"apc_list":null,"apc_paid":null,"fwci":2.1529,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86871859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9918000102043152,"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":0.9918000102043152,"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.7542663216590881},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6584434509277344},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5795949101448059},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4914611577987671},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35194507241249084},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.14006975293159485},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11545202136039734}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7542663216590881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6584434509277344},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5795949101448059},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4914611577987671},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35194507241249084},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.14006975293159485},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11545202136039734},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dac56929.2023.10247799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac56929.2023.10247799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 60th ACM/IEEE Design Automation Conference (DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2119144962","https://openalex.org/W2896457183","https://openalex.org/W2946794439","https://openalex.org/W2963363373","https://openalex.org/W2980186997","https://openalex.org/W3037132819","https://openalex.org/W3094502228","https://openalex.org/W4224308101","https://openalex.org/W4224903119","https://openalex.org/W4236868170","https://openalex.org/W4240168186","https://openalex.org/W4287777801","https://openalex.org/W4288347855","https://openalex.org/W4292779060","https://openalex.org/W4385245566","https://openalex.org/W6677580257","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6762945437","https://openalex.org/W6777017071","https://openalex.org/W6778883912","https://openalex.org/W6780125659","https://openalex.org/W6784333009","https://openalex.org/W6810081322","https://openalex.org/W6810362000"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"We":[0],"present":[1],"the":[2,17,23,26,33,38,48,57,70,103],"energy-efficient":[3],"TF-MVP":[4,67,83],"architecture,":[5],"a":[6,76,81],"sparsity-aware":[7,105],"transformer":[8,106],"accelerator,":[9],"by":[10,65,92],"introducing":[11],"novel":[12],"algorithm-hardware":[13],"co-optimization":[14],"techniques.":[15],"From":[16],"previous":[18],"fine-grained":[19],"pruning":[20,34,40,51],"map,":[21],"for":[22,87],"first":[24],"time,":[25],"direction":[27,41],"strength":[28],"is":[29,53,62,98],"developed":[30],"to":[31,55],"analyze":[32],"patterns":[35],"quantitatively,":[36],"indicating":[37],"major":[39],"and":[42],"size":[43],"of":[44],"each":[45],"layer.":[46],"Then,":[47],"mixed-length":[49],"vector":[50],"(MVP)":[52],"proposed":[54],"generate":[56],"hardware-friendly":[58],"pruned-transformer":[59],"model,":[60],"which":[61,97],"fully":[63],"supported":[64],"our":[66],"accelerator":[68],"with":[69],"reconfigurable":[71],"PE":[72],"structure.":[73],"Implemented":[74],"in":[75],"28nm":[77],"CMOS":[78],"technology,":[79],"as":[80],"result,":[82],"achieves":[84],"377":[85],"GOPs/W":[86],"accelerating":[88],"GPT-2":[89],"small":[90],"model":[91],"realizing":[93],"4096":[94],"multiply-accumulate":[95],"operators,":[96],"2.09":[99],"times":[100],"better":[101],"than":[102],"state-of-the-art":[104],"accelerator.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
