{"id":"https://openalex.org/W4411725700","doi":"https://doi.org/10.1109/iscas56072.2025.11043957","title":"Optimizing Sparse/Dense VEGETA Accelerator Performance with Microscaling Quantization","display_name":"Optimizing Sparse/Dense VEGETA Accelerator Performance with Microscaling Quantization","publication_year":2025,"publication_date":"2025-05-25","ids":{"openalex":"https://openalex.org/W4411725700","doi":"https://doi.org/10.1109/iscas56072.2025.11043957"},"language":"en","primary_location":{"id":"doi:10.1109/iscas56072.2025.11043957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043957","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 Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5118664092","display_name":"Kazi Barria Nine","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kazi Barria Nine","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112948957","display_name":"Connor Talley","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Connor Talley","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118664093","display_name":"Ajay Sharma Mandadi","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ajay Sharma Mandadi","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034089074","display_name":"Tushar Krishna","orcid":"https://orcid.org/0000-0001-5738-6942"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tushar Krishna","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091408102","display_name":"Arijit Raychowdhury","orcid":"https://orcid.org/0000-0001-8391-0576"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arijit Raychowdhury","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11216","display_name":"Radiation Detection and Scintillator Technologies","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9728000164031982,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6284447908401489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6236945390701294},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.19684657454490662}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6284447908401489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6236945390701294},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.19684657454490662}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas56072.2025.11043957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043957","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 Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2979310060","https://openalex.org/W2982242214","https://openalex.org/W3100083812","https://openalex.org/W3128751578","https://openalex.org/W4290714886","https://openalex.org/W4360831840","https://openalex.org/W4390660438","https://openalex.org/W4402323225","https://openalex.org/W6755028443","https://openalex.org/W6758823024","https://openalex.org/W6790521546","https://openalex.org/W6838633097","https://openalex.org/W6855780230","https://openalex.org/W6857288518"],"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":{"Recent":[0],"advancements":[1],"in":[2,15,147,157],"artificial":[3],"intelligence":[4],"have":[5],"led":[6],"to":[7,28,43,79,97,108,180,187],"the":[8,52,62,75,93,116,121,136,182],"development":[9],"of":[10,20,54,134,168],"exponentially":[11],"larger":[12],"models,":[13],"which":[14,38],"turn":[16],"require":[17],"substantial":[18],"amounts":[19],"memory.":[21],"This":[22],"escalating":[23],"demand":[24],"presents":[25],"a":[26,125,144,154,175],"challenge":[27],"scaling":[29,184],"large":[30,188],"models":[31],"efficiently.":[32],"One":[33],"potential":[34],"solution":[35,179],"is":[36,106],"quantization,":[37],"leverages":[39],"low":[40,55],"bit-width":[41,56],"precision":[42],"mitigate":[44],"memory":[45,183],"issues.":[46],"In":[47,132,171],"this":[48],"study,":[49],"we":[50,70,91],"explore":[51],"integration":[53],"Microscaling":[57,173],"(MX)":[58],"based":[59],"quantization":[60],"into":[61],"VEGETA":[63],"systolic":[64,76],"array":[65,77],"design.":[66],"To":[67],"achieve":[68],"this,":[69],"introduce":[71],"dedicated":[72],"buffers":[73],"within":[74],"architecture":[78],"multicast":[80],"scale":[81],"factors":[82],"for":[83,128],"both":[84],"inputs":[85],"and":[86,95,112,153,177],"weights":[87],"across":[88],"tiles.":[89],"Additionally,":[90],"modify":[92],"adders":[94],"multipliers":[96],"function":[98],"using":[99],"Microscaled":[100],"floating":[101],"point":[102],"(MXFP)":[103],"formats.":[104],"SCALE-Sim":[105],"adapted":[107],"verify":[109],"our":[110],"approach,":[111],"results":[113],"indicate":[114],"that":[115],"MXFP":[117],"format":[118],"effectively":[119],"addresses":[120],"memory-wall":[122],"problem,":[123],"providing":[124],"1.3\u00d7":[126],"speed-up":[127],"weight":[129],"stationary":[130],"dataflow.":[131],"terms":[133],"hardware,":[135],"MXFP6":[137],"(E3M2)":[138],"implementation":[139],"delivers":[140],"significant":[141],"benefits,":[142],"including":[143],"4.65\u00d7":[145],"reduction":[146],"area,":[148],"2.45\u00d7":[149],"lower":[150],"power":[151],"consumption,":[152],"53%":[155],"increase":[156],"maximum":[158],"operating":[159],"frequency.":[160],"Moreover,":[161],"it":[162],"achieves":[163],"an":[164],"impressive":[165],"energy":[166],"efficiency":[167],"7.912":[169],"TOPS/W.":[170],"conclusion,":[172],"offers":[174],"viable":[176],"efficient":[178],"overcome":[181],"challenges":[185],"inherent":[186],"AI":[189],"models.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
