{"id":"https://openalex.org/W7133305303","doi":"https://doi.org/10.1109/isscc49663.2026.11409066","title":"31.4 VARSA: A Visual Autoregressive Generation Accelerator Using Performance-Scalable Multi-Precision PE-LUT and Grid-Similarity Attention Compression","display_name":"31.4 VARSA: A Visual Autoregressive Generation Accelerator Using Performance-Scalable Multi-Precision PE-LUT and Grid-Similarity Attention Compression","publication_year":2026,"publication_date":"2026-02-15","ids":{"openalex":"https://openalex.org/W7133305303","doi":"https://doi.org/10.1109/isscc49663.2026.11409066"},"language":null,"primary_location":{"id":"doi:10.1109/isscc49663.2026.11409066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc49663.2026.11409066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Solid-State Circuits Conference (ISSCC)","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/A5127920863","display_name":"Jiaqi Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaqi Zhou","raw_affiliation_strings":["Peking University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Peking University,Beijing,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127929751","display_name":"Hongou Li","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongou Li","raw_affiliation_strings":["Peking University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Peking University,Beijing,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000478513","display_name":"Keyao Jiang","orcid":"https://orcid.org/0000-0003-4819-4695"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyao Jiang","raw_affiliation_strings":["Peking University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Peking University,Beijing,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107789976","display_name":"Yiyang Sun","orcid":"https://orcid.org/0009-0003-6353-4624"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyang Sun","raw_affiliation_strings":["Peking University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Peking University,Beijing,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003039083","display_name":"Le Ye","orcid":"https://orcid.org/0000-0003-0599-7762"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Jia","raw_affiliation_strings":["Peking University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Peking University,Beijing,China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5127920863"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.90277778,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"538","last_page":"540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.15129999816417694,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.15129999816417694,"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.14270000159740448,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.1177000030875206,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.7537999749183655},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.525600016117096},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5134999752044678},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.45179998874664307},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.43299999833106995},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.40149998664855957}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7537999749183655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7203999757766724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5593000054359436},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.525600016117096},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5198000073432922},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5134999752044678},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.45179998874664307},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43299999833106995},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.40149998664855957},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.38499999046325684},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.37560001015663147},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36399999260902405},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32589998841285706},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2567000091075897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isscc49663.2026.11409066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc49663.2026.11409066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Solid-State Circuits Conference (ISSCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7261640429496765,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W3180355996","https://openalex.org/W4312974539","https://openalex.org/W4390872297","https://openalex.org/W4392746069","https://openalex.org/W4401211860","https://openalex.org/W4401879849","https://openalex.org/W4408183246","https://openalex.org/W4408183549","https://openalex.org/W4413145881","https://openalex.org/W4413145894","https://openalex.org/W4413146118","https://openalex.org/W4413147792","https://openalex.org/W4413156242"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"VARSA,":[3],"a":[4,16],"22":[5],"nm":[6],"visual":[7],"autoregressive":[8],"accelerator":[9],"for":[10,48],"efficient":[11],"text-to-image":[12],"generation,":[13,55],"featuring:":[14],"1)":[15],"performance-scalable":[17],"hybrid":[18],"PE-LUT":[19],"core;":[20],"2)":[21],"multi-precision":[22],"parallel":[23],"processing":[24],"with":[25],"runtime":[26],"precision":[27],"management;":[28],"3)":[29],"attention":[30],"map":[31],"compression":[32],"leveraging":[33],"inter-grid":[34],"similarity.":[35],"The":[36],"innovations":[37],"enable":[38],"VARSA":[39],"to":[40],"achieve":[41],"<tex":[42,49,60],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[43,50,61],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$503":[44],"~\\text{mJ}":[45],"/$</tex>":[46],"inference":[47],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$512":[51],"\\times":[52],"512$</tex>":[53],"image":[54],"which":[56],"is":[57],"2.7-":[58],"to-":[59],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$8.9":[62],"\\times$</tex>":[63],"better":[64],"than":[65],"prior":[66],"diffusion-based":[67],"SOTA":[68],"accelerators.":[69]},"counts_by_year":[],"updated_date":"2026-03-05T07:30:30.508283","created_date":"2026-03-04T00:00:00"}