{"id":"https://openalex.org/W7133522501","doi":"https://doi.org/10.1109/hpca68181.2026.11408607","title":"VAR-Turbo: Unlocking the Potential of Visual Autoregressive Models Through Dual Redundancy","display_name":"VAR-Turbo: Unlocking the Potential of Visual Autoregressive Models Through Dual Redundancy","publication_year":2026,"publication_date":"2026-01-31","ids":{"openalex":"https://openalex.org/W7133522501","doi":"https://doi.org/10.1109/hpca68181.2026.11408607"},"language":null,"primary_location":{"id":"doi:10.1109/hpca68181.2026.11408607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpca68181.2026.11408607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 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/A5102628983","display_name":"Xujiang Xiang","orcid":"https://orcid.org/0009-0009-4171-0563"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Xujiang Xiang","raw_affiliation_strings":["The Hong Kong University of Science and Technology,Hong Kong,China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology,Hong Kong,China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038947607","display_name":"Fengbin Tu","orcid":"https://orcid.org/0000-0003-2228-8829"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Fengbin Tu","raw_affiliation_strings":["The Hong Kong University of Science and Technology,Hong Kong,China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology,Hong Kong,China","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102628983"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.5370778,"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":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.2540999948978424,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.2540999948978424,"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/T11094","display_name":"Face Recognition and Perception","score":0.11599999666213989,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.11559999734163284,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5317000150680542},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4952000081539154},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.48820000886917114},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3190999925136566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6133999824523926},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5317000150680542},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4952000081539154},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.48820000886917114},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46219998598098755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44369998574256897},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2985000014305115},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26249998807907104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2614000141620636},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26100000739097595},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpca68181.2026.11408607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpca68181.2026.11408607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Symposium on High Performance Computer Architecture (HPCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4511934220790863,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G5430388606","display_name":null,"funder_award_id":"26204424","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G5929630173","display_name":null,"funder_award_id":"62422407","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1995875735","https://openalex.org/W2034861439","https://openalex.org/W2042876290","https://openalex.org/W2074224805","https://openalex.org/W2255665663","https://openalex.org/W2293347572","https://openalex.org/W2524168323","https://openalex.org/W2547543723","https://openalex.org/W2606722458","https://openalex.org/W2732026016","https://openalex.org/W2798445803","https://openalex.org/W2886641317","https://openalex.org/W2891976760","https://openalex.org/W2952122856","https://openalex.org/W3011338798","https://openalex.org/W3083475656","https://openalex.org/W3155922894","https://openalex.org/W3159727696","https://openalex.org/W3174529902","https://openalex.org/W3180355996","https://openalex.org/W3190761184","https://openalex.org/W3202717607","https://openalex.org/W3206429150","https://openalex.org/W3206453033","https://openalex.org/W4207072548","https://openalex.org/W4280595844","https://openalex.org/W4285294723","https://openalex.org/W4293025109","https://openalex.org/W4312309398","https://openalex.org/W4312933868","https://openalex.org/W4313021454","https://openalex.org/W4313156423","https://openalex.org/W4318541578","https://openalex.org/W4360831786","https://openalex.org/W4360831795","https://openalex.org/W4360832001","https://openalex.org/W4380881077","https://openalex.org/W4384159680","https://openalex.org/W4385192450","https://openalex.org/W4386047807","https://openalex.org/W4386180266","https://openalex.org/W4389491858","https://openalex.org/W4390872297","https://openalex.org/W4390873332","https://openalex.org/W4392745879","https://openalex.org/W4393407269","https://openalex.org/W4395020696","https://openalex.org/W4395112660","https://openalex.org/W4401136337","https://openalex.org/W4401211860","https://openalex.org/W4401211878","https://openalex.org/W4401691737","https://openalex.org/W4402187408","https://openalex.org/W4402349168","https://openalex.org/W4402779867","https://openalex.org/W4403278953","https://openalex.org/W4403842099","https://openalex.org/W4404356490","https://openalex.org/W4404954358","https://openalex.org/W4404955778","https://openalex.org/W4413155391","https://openalex.org/W7133233895"],"related_works":[],"abstract_inverted_index":{"Image":[0,101],"synthesis":[1,40],"task":[2],"has":[3],"recently":[4],"drawn":[5],"enormous":[6],"attention":[7],"from":[8,32],"both":[9],"the":[10,13,17,35,81,88,100,106,126,131,136,145,167,175,210],"academia":[11],"and":[12,114,120,159,172,178,182,192,206],"industry":[14],"due":[15,50],"to":[16,51,64,134],"recent":[18],"advancements":[19],"of":[20,83,117,180],"generative":[21,36,132],"models,":[22],"which":[23,103,164],"now":[24],"can":[25,104,165],"generate":[26],"photorealistic":[27],"images":[28],"with":[29],"conditional":[30],"words":[31],"human.":[33],"Among":[34],"models":[37],"for":[38,79],"image":[39],"task,":[41],"Visual":[42],"AutoRegressive":[43],"(VAR)":[44],"model":[45],"is":[46],"a":[47,61,72,93,115,150],"promising":[48],"avenue":[49],"its":[52,56],"strong":[53],"scalability.":[54],"Nevertheless,":[55],"exorbitant":[57],"computational":[58,137],"cost":[59],"poses":[60],"formidable":[62],"obstacle":[63],"widespread":[65],"adoption.":[66],"To":[67],"this":[68],"end,":[69],"we":[70,91,148],"propose":[71,92,149],"dedicated":[73,151],"software/hardware":[74],"co-design":[75],"framework":[76],"dubbed":[77],"VAR-Turbo":[78,184],"unlocking":[80],"potential":[82],"VAR":[84],"models.":[85],"Specifically,":[86],"in":[87],"software":[89,181],"level,":[90,147],"Draft-Free":[94],"Parallel":[95],"Decoding":[96],"scheme":[97],"by":[98,109,130,139],"exploiting":[99],"Redundancy,":[102],"decrease":[105],"sample":[107],"steps":[108],"<tex":[110,140],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[111,141],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$&gt;80":[112],"\\%$</tex>,":[113],"combination":[116],"Token":[118],"Aggregation":[119],"Dynamic":[121],"Bypass":[122],"that":[123],"capitalizes":[124],"on":[125],"Model":[127],"Redundancy":[128],"introduced":[129],"Transformer":[133],"reduce":[135],"load":[138],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$&gt;60":[142],"\\%$</tex>.":[143],"In":[144],"hardware":[146],"accelerator":[152],"featuring":[153],"1)":[154],"A":[155],"Unified":[156],"Attention":[157],"Core":[158],"2)":[160],"Radix":[161],"Sort":[162],"Core,":[163],"support":[166],"aforementioned":[168],"algorithm":[169],"pipeline":[170],"seamlessly":[171],"efficiently.":[173],"Under":[174],"collaborative":[176],"design":[177],"synergy":[179],"hardware,":[183],"achieves":[185],"averagely":[186],"5047.4x,":[187],"210.3x,":[188],"6.1x,":[189],"3.8x":[190],"speedups":[191],"24818.2x,":[193],"423.5x,":[194],"6.0x,":[195],"7.8x":[196],"energy-efficiency":[197],"improvements":[198],"over":[199],"Xeon":[200],"8168":[201],"CPU,":[202],"Nvidia":[203],"V100,":[204],"ViTCoD":[205],"AdapTiV,":[207],"while":[208],"maintaining":[209],"generation":[211],"quality.":[212]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-03-05T00:00:00"}
