{"id":"https://openalex.org/W4409282672","doi":"https://doi.org/10.1145/3676536.3676770","title":"OFT: An accelerator with eager gradient prediction for attention training","display_name":"OFT: An accelerator with eager gradient prediction for attention training","publication_year":2024,"publication_date":"2024-10-27","ids":{"openalex":"https://openalex.org/W4409282672","doi":"https://doi.org/10.1145/3676536.3676770"},"language":"en","primary_location":{"id":"doi:10.1145/3676536.3676770","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3676536.3676770","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3676536.3676770","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3676536.3676770","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082733532","display_name":"Miao Wang","orcid":"https://orcid.org/0000-0003-3277-7204"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Miao Wang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-3277-7204","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026165169","display_name":"Shengbing Zhang","orcid":"https://orcid.org/0000-0002-2854-729X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengbing Zhang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-2854-729X","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sijia Wang","orcid":"https://orcid.org/0009-0008-1645-1662"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sijia Wang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0008-1645-1662","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024722161","display_name":"Yang Zhao","orcid":"https://orcid.org/0000-0002-9525-2096"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Yang","raw_affiliation_strings":["Chang'an University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-9525-2096","affiliations":[{"raw_affiliation_string":"Chang'an University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101821645","display_name":"Meng Zhang","orcid":"https://orcid.org/0000-0003-0637-249X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Zhang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-0637-249X","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5082733532"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28334961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9929999709129333,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9904999732971191,"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/training","display_name":"Training (meteorology)","score":0.6310056447982788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6190793514251709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3389930725097656},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10700103640556335}],"concepts":[{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6310056447982788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6190793514251709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3389930725097656},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10700103640556335},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3676536.3676770","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3676536.3676770","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3676536.3676770","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3676536.3676770","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3676536.3676770","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3676536.3676770","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409282672.pdf","grobid_xml":"https://content.openalex.org/works/W4409282672.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W2251939518","https://openalex.org/W2883542588","https://openalex.org/W2923014074","https://openalex.org/W2963341956","https://openalex.org/W2978670439","https://openalex.org/W3012561096","https://openalex.org/W3017024317","https://openalex.org/W3040850704","https://openalex.org/W3043495022","https://openalex.org/W3047872496","https://openalex.org/W3092345941","https://openalex.org/W3099513244","https://openalex.org/W3102587717","https://openalex.org/W3105802176","https://openalex.org/W3159727696","https://openalex.org/W3189877953","https://openalex.org/W3206453033","https://openalex.org/W3207622241","https://openalex.org/W4200223557","https://openalex.org/W4214686755","https://openalex.org/W4281708367","https://openalex.org/W4285247940","https://openalex.org/W4288083528","https://openalex.org/W4312868944","https://openalex.org/W4313467238","https://openalex.org/W4361192234","https://openalex.org/W4361193654","https://openalex.org/W4375928954","https://openalex.org/W4380875572","https://openalex.org/W4380881077","https://openalex.org/W4386764188","https://openalex.org/W4389476189"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W230091440","https://openalex.org/W2390279801","https://openalex.org/W2233261550","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2810751659"],"abstract_inverted_index":{"With":[0],"the":[1,12,23,46,59,67,72],"tremendous":[2],"success":[3],"of":[4],"Transformer,":[5],"resource-constrained":[6],"edge":[7,42],"devices":[8,43],"are":[9],"increasingly":[10],"becoming":[11],"deployment":[13],"target":[14],"for":[15],"attention-based":[16],"models.":[17],"On-device":[18],"attention":[19],"training":[20,76],"can":[21],"address":[22],"accuracy":[24],"decline":[25],"caused":[26,49],"by":[27,50],"static":[28],"models'":[29],"inability":[30],"to":[31,33,58,70,92,101],"adapt":[32],"dynamic":[34],"environments":[35],"efficiently":[36],"while":[37],"protecting":[38],"data":[39],"privacy.":[40],"However,":[41],"cannot":[44],"meet":[45],"resource":[47],"demands":[48],"batched":[51],"gradient":[52],"backpropagation":[53],"and":[54,87,109],"weight":[55],"updates.":[56],"Due":[57],"inherent":[60],"redundancy":[61],"in":[62,82],"human":[63],"language,":[64],"sparsification":[65],"is":[66],"primary":[68],"choice":[69],"alleviate":[71],"contradiction.":[73],"Current":[74],"sparse":[75,95],"methods":[77],"consume":[78],"high":[79],"runtime":[80],"costs":[81],"both":[83],"forward":[84],"propagation":[85,89],"(FP)":[86],"backward":[88],"(BP)":[90],"computations":[91],"handle":[93],"irregular":[94],"patterns,":[96],"which":[97],"makes":[98],"it":[99],"inefficient":[100],"convert":[102],"potential":[103],"speedups":[104],"into":[105],"actual":[106],"performance":[107],"improvements":[108],"energy":[110],"savings.":[111]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}