{"id":"https://openalex.org/W4391183336","doi":"https://doi.org/10.1109/isocc59558.2023.10396620","title":"Accelerating Transformers with Fourier-Based Attention for Efficient On-Device Inference","display_name":"Accelerating Transformers with Fourier-Based Attention for Efficient On-Device Inference","publication_year":2023,"publication_date":"2023-10-25","ids":{"openalex":"https://openalex.org/W4391183336","doi":"https://doi.org/10.1109/isocc59558.2023.10396620"},"language":"en","primary_location":{"id":"doi:10.1109/isocc59558.2023.10396620","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isocc59558.2023.10396620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 20th International SoC Design Conference (ISOCC)","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/A5102608774","display_name":"Hyeonjin Jo","orcid":null},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyeonjin Jo","raw_affiliation_strings":["Ulsan National Institute of Science and Technology (UNIST),Department of CSE,Ulsan,Korea","Department of CSE, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Korea"],"affiliations":[{"raw_affiliation_string":"Ulsan National Institute of Science and Technology (UNIST),Department of CSE,Ulsan,Korea","institution_ids":["https://openalex.org/I48566637"]},{"raw_affiliation_string":"Department of CSE, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114121280","display_name":"Chaerin Sim","orcid":null},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chaerin Sim","raw_affiliation_strings":["Ulsan National Institute of Science and Technology (UNIST),School of New UNIStars,Ulsan,Korea","School of New UNIStars, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Korea"],"affiliations":[{"raw_affiliation_string":"Ulsan National Institute of Science and Technology (UNIST),School of New UNIStars,Ulsan,Korea","institution_ids":["https://openalex.org/I48566637"]},{"raw_affiliation_string":"School of New UNIStars, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359860","display_name":"Jaewoo Park","orcid":"https://orcid.org/0000-0002-6477-9813"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaewoo Park","raw_affiliation_strings":["Ulsan National Institute of Science and Technology (UNIST),Department of CSE,Ulsan,Korea","Department of CSE, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Korea"],"affiliations":[{"raw_affiliation_string":"Ulsan National Institute of Science and Technology (UNIST),Department of CSE,Ulsan,Korea","institution_ids":["https://openalex.org/I48566637"]},{"raw_affiliation_string":"Department of CSE, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100780257","display_name":"Jongeun Lee","orcid":"https://orcid.org/0000-0003-1523-2974"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jongeun Lee","raw_affiliation_strings":["Ulsan National Institute of Science and Technology (UNIST),Department of EE,Ulsan,Korea","Department of EE, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Korea"],"affiliations":[{"raw_affiliation_string":"Ulsan National Institute of Science and Technology (UNIST),Department of EE,Ulsan,Korea","institution_ids":["https://openalex.org/I48566637"]},{"raw_affiliation_string":"Department of EE, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Korea","institution_ids":["https://openalex.org/I48566637"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102608774"],"corresponding_institution_ids":["https://openalex.org/I48566637"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20869975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"203","last_page":"204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9962999820709229,"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":0.9962999820709229,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9460999965667725,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/inference","display_name":"Inference","score":0.7934235334396362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7124215364456177},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.6261926889419556},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5985379219055176},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5819883346557617},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.510475754737854},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.47802838683128357},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.469980388879776},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.45823127031326294},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41266536712646484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3235783576965332},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14900565147399902},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1175948977470398},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10331806540489197},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.08167940378189087},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07707569003105164}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7934235334396362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7124215364456177},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.6261926889419556},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5985379219055176},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5819883346557617},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.510475754737854},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.47802838683128357},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.469980388879776},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.45823127031326294},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41266536712646484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3235783576965332},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14900565147399902},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1175948977470398},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10331806540489197},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.08167940378189087},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07707569003105164},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isocc59558.2023.10396620","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isocc59558.2023.10396620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 20th International SoC Design Conference (ISOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6899999976158142,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2963114857","https://openalex.org/W3162090017","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W4327521644","https://openalex.org/W2978884468","https://openalex.org/W3132558499","https://openalex.org/W2005846134","https://openalex.org/W2168413811","https://openalex.org/W2369237035","https://openalex.org/W2948041274","https://openalex.org/W4226515754","https://openalex.org/W2087878472","https://openalex.org/W2322333442"],"abstract_inverted_index":{"Multi-head":[0,112],"attention":[1,32,85,98],"based":[2,34,54,84,97],"transformers":[3,67],"have":[4,38],"achieved":[5],"significant":[6],"success":[7],"in":[8,48],"various":[9],"natural":[10],"language":[11],"processing":[12],"applications.":[13],"However,":[14],"their":[15],"quadratic":[16],"computation":[17],"complexity":[18],"and":[19,77,106],"low":[20],"arithmetic":[21,46],"intensity":[22],"present":[23],"challenges":[24],"for":[25,74],"inference":[26,65,94,101],"acceleration.":[27],"To":[28],"address":[29],"this":[30,60],"issue,":[31],"mechanisms":[33],"on":[35,51,68,86,108],"Fourier":[36,49,83,96],"transforms":[37],"been":[39],"proposed.":[40],"Nevertheless,":[41],"the":[42,64],"acceleration":[43],"of":[44,66,82,95],"complex":[45],"involved":[47],"transform":[50],"systolic":[52],"array":[53],"edge":[55],"devices":[56],"remains":[57],"unexplored.":[58],"In":[59],"paper,":[61],"we":[62],"analyze":[63],"VTA,":[69],"a":[70],"tensor":[71],"accelerator":[72],"designed":[73],"mobile":[75],"devices,":[76],"propose":[78],"an":[79],"efficient":[80],"mapping":[81],"VTA.":[87],"Our":[88],"experimental":[89],"results":[90],"demonstrate":[91],"that":[92],"on-device":[93],"can":[99],"improve":[100],"latency":[102],"up":[103],"to":[104,111],"70.7%":[105],"29.6%":[107],"average":[109],"compared":[110],"attention.":[113]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
