{"id":"https://openalex.org/W4409248685","doi":"https://doi.org/10.1109/hpca61900.2025.00035","title":"Ditto: Accelerating Diffusion Model via Temporal Value Similarity","display_name":"Ditto: Accelerating Diffusion Model via Temporal Value Similarity","publication_year":2025,"publication_date":"2025-03-01","ids":{"openalex":"https://openalex.org/W4409248685","doi":"https://doi.org/10.1109/hpca61900.2025.00035"},"language":"en","primary_location":{"id":"doi:10.1109/hpca61900.2025.00035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpca61900.2025.00035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on High Performance Computer Architecture (HPCA)","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/A5076510609","display_name":"Sungbin Kim","orcid":"https://orcid.org/0000-0002-5765-1571"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sungbin Kim","raw_affiliation_strings":["Yonsei University,School of Electrical and Electronic Engineering,Seoul,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Electrical and Electronic Engineering,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088832633","display_name":"Hyunwuk Lee","orcid":"https://orcid.org/0009-0006-4291-4937"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunwuk Lee","raw_affiliation_strings":["Yonsei University,School of Electrical and Electronic Engineering,Seoul,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Electrical and Electronic Engineering,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051744628","display_name":"Wonho Cho","orcid":"https://orcid.org/0000-0003-4162-4613"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wonho Cho","raw_affiliation_strings":["Yonsei University,School of Electrical and Electronic Engineering,Seoul,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Electrical and Electronic Engineering,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010616922","display_name":"Mincheol Park","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Mincheol Park","raw_affiliation_strings":["Yonsei University,School of Electrical and Electronic Engineering,Seoul,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Electrical and Electronic Engineering,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017913155","display_name":"Won Woo Ro","orcid":"https://orcid.org/0000-0001-5390-6445"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Won Woo Ro","raw_affiliation_strings":["Yonsei University,School of Electrical and Electronic Engineering,Seoul,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Electrical and Electronic Engineering,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076510609"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":11.3657,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.97900042,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"338","last_page":"352"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.45660001039505005,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.45660001039505005,"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/diffusion","display_name":"Diffusion","score":0.645290195941925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5741921663284302},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5666247010231018},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.480714350938797},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3248368501663208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2900071144104004},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15565776824951172},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13158851861953735}],"concepts":[{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.645290195941925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5741921663284302},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5666247010231018},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.480714350938797},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3248368501663208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2900071144104004},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15565776824951172},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13158851861953735},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpca61900.2025.00035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpca61900.2025.00035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on High Performance Computer Architecture (HPCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2108598243","https://openalex.org/W2120000030","https://openalex.org/W2788838111","https://openalex.org/W2803549871","https://openalex.org/W2883899390","https://openalex.org/W2904327456","https://openalex.org/W2904773682","https://openalex.org/W2931118404","https://openalex.org/W2946572707","https://openalex.org/W2952777853","https://openalex.org/W2963367920","https://openalex.org/W2964347220","https://openalex.org/W2979439447","https://openalex.org/W2979515806","https://openalex.org/W2980084320","https://openalex.org/W3043406639","https://openalex.org/W3043504674","https://openalex.org/W3096831136","https://openalex.org/W3108690123","https://openalex.org/W3140099337","https://openalex.org/W3153469116","https://openalex.org/W3153887752","https://openalex.org/W3155072588","https://openalex.org/W3158020960","https://openalex.org/W3159727696","https://openalex.org/W3185702163","https://openalex.org/W3188639508","https://openalex.org/W3190761184","https://openalex.org/W3196171820","https://openalex.org/W3212516020","https://openalex.org/W4205368396","https://openalex.org/W4206349042","https://openalex.org/W4236868170","https://openalex.org/W4247198796","https://openalex.org/W4281660701","https://openalex.org/W4283654857","https://openalex.org/W4297697565","https://openalex.org/W4308083739","https://openalex.org/W4311415873","https://openalex.org/W4312497550","https://openalex.org/W4360831844","https://openalex.org/W4360831989","https://openalex.org/W4360884927","https://openalex.org/W4366341968","https://openalex.org/W4380874786","https://openalex.org/W4386065704","https://openalex.org/W4386072096","https://openalex.org/W4387195417","https://openalex.org/W4387799594","https://openalex.org/W4389491921","https://openalex.org/W4390872297","https://openalex.org/W4390873054","https://openalex.org/W4390874074","https://openalex.org/W4391305822","https://openalex.org/W4391468387","https://openalex.org/W4392746069","https://openalex.org/W4400680365","https://openalex.org/W4401211860","https://openalex.org/W4402716225","https://openalex.org/W4402896260","https://openalex.org/W4406014531"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Diffusion":[0],"models":[1,37],"achieve":[2],"superior":[3],"performance":[4],"in":[5,35],"image":[6],"generation":[7],"tasks.":[8],"However,":[9],"it":[10,114],"incurs":[11],"significant":[12],"computation":[13],"overheads":[14],"due":[15],"to":[16,43,54,95,139,183,192],"its":[17],"iterative":[18,27],"structure.":[19],"To":[20],"address":[21],"these":[22,52,65],"overheads,":[23],"we":[24,80],"analyze":[25],"this":[26],"structure":[28],"and":[29,59,73,107,124,187],"observe":[30],"that":[31,61,89],"adjacent":[32],"time":[33,48,122],"steps":[34,127],"diffusion":[36,57,100],"exhibit":[38],"high":[39],"value":[40],"similarity,":[41],"leading":[42],"narrower":[44,105],"differences":[45,66,106],"between":[46],"consecutive":[47],"steps.":[49],"We":[50,156],"adapt":[51],"characteristics":[53,170],"a":[55,85,162,176],"quantized":[56],"model":[58],"reveal":[60],"the":[62,82,97,104,108,120,141,150,153,159,168,172,178],"majority":[63],"of":[64,99,111,144,152,171],"can":[67],"be":[68],"represented":[69],"with":[70,93,128],"reduced":[71],"bit-width,":[72],"even":[74],"zero.":[75],"Based":[76],"on":[77],"our":[78],"observations,":[79],"propose":[81],"Ditto":[83,133,154,160,179],"algorithm,":[84],"difference":[86,146],"processing":[87],"algorithm":[88],"leverages":[90],"temporal":[91,129,145],"similarity":[92],"quantization":[94],"enhance":[96],"efficiency":[98,151],"models.":[101],"By":[102],"exploiting":[103,167],"distributive":[109],"property":[110],"layer":[112],"operations,":[113],"performs":[115],"full":[116],"bit-width":[117],"operations":[118],"for":[119],"initial":[121],"step":[123],"processes":[125],"subsequent":[126],"differences.":[130],"In":[131],"addition,":[132],"execution":[134],"flow":[135],"optimization":[136],"is":[137],"designed":[138],"mitigate":[140],"memory":[142],"overhead":[143],"processing,":[147],"further":[148],"boosting":[149],"algorithm.":[155,174],"also":[157],"design":[158],"hardware,":[161],"specialized":[163],"hardware":[164,180],"accelerator,":[165],"fully":[166],"dynamic":[169],"proposed":[173],"As":[175],"result,":[177],"achieves":[181],"up":[182],"$1.5":[184],"\\times$":[185],"speedup":[186],"17.74%":[188],"energy":[189],"saving":[190],"compared":[191],"other":[193],"accelerators.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
