{"id":"https://openalex.org/W4367188843","doi":"https://doi.org/10.1145/3583781.3590235","title":"Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M)","display_name":"Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M)","publication_year":2023,"publication_date":"2023-05-31","ids":{"openalex":"https://openalex.org/W4367188843","doi":"https://doi.org/10.1145/3583781.3590235"},"language":"en","primary_location":{"id":"doi:10.1145/3583781.3590235","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583781.3590235","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583781.3590235","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Great Lakes Symposium on VLSI 2023","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/10.1145/3583781.3590235","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033676576","display_name":"Md Abdullah-Al Kaiser","orcid":"https://orcid.org/0000-0002-6041-4075"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Md Abdullah-Al Kaiser","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017435097","display_name":"Gourav Datta","orcid":"https://orcid.org/0000-0002-5380-2619"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gourav Datta","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008033093","display_name":"Sreetama Sarkar","orcid":"https://orcid.org/0009-0009-2182-6200"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sreetama Sarkar","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076002956","display_name":"Souvik Kundu","orcid":"https://orcid.org/0000-0002-3533-9405"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Souvik Kundu","raw_affiliation_strings":["Intel Labs, San Diego, CA, USA"],"affiliations":[{"raw_affiliation_string":"Intel Labs, San Diego, CA, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037825143","display_name":"Zihan Yin","orcid":"https://orcid.org/0000-0001-7216-8214"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zihan Yin","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055729133","display_name":"Manas Garg","orcid":"https://orcid.org/0000-0002-4411-1779"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manas Garg","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022273882","display_name":"Ajey P. Jacob","orcid":"https://orcid.org/0000-0002-9830-0604"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ajey P. Jacob","raw_affiliation_strings":["Information Sciences Institute, Marina del Rey, CA, USA"],"affiliations":[{"raw_affiliation_string":"Information Sciences Institute, Marina del Rey, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084205024","display_name":"Peter A. Beerel","orcid":"https://orcid.org/0000-0002-8283-0168"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter A. Beerel","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003606780","display_name":"Akhilesh Jaiswal","orcid":"https://orcid.org/0000-0001-9911-2624"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akhilesh R. Jaiswal","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5033676576"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.5355,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63508358,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"613","last_page":"618"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":1.0,"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9969000220298767,"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/computer-science","display_name":"Computer science","score":0.785630464553833},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6504568457603455},{"id":"https://openalex.org/keywords/massively-parallel","display_name":"Massively parallel","score":0.558070182800293},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.47423288226127625},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.43758082389831543},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.42012810707092285},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4166271984577179},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.397754967212677},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.32729363441467285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30529850721359253},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.1516869068145752},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1082586944103241}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.785630464553833},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6504568457603455},{"id":"https://openalex.org/C190475519","wikidata":"https://www.wikidata.org/wiki/Q544384","display_name":"Massively parallel","level":2,"score":0.558070182800293},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.47423288226127625},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.43758082389831543},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.42012810707092285},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4166271984577179},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.397754967212677},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.32729363441467285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30529850721359253},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.1516869068145752},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1082586944103241},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583781.3590235","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583781.3590235","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583781.3590235","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Great Lakes Symposium on VLSI 2023","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3583781.3590235","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583781.3590235","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583781.3590235","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Great Lakes Symposium on VLSI 2023","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4367188843.pdf","grobid_xml":"https://content.openalex.org/works/W4367188843.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1857884451","https://openalex.org/W2585597896","https://openalex.org/W2899682587","https://openalex.org/W3035564946","https://openalex.org/W3049037182","https://openalex.org/W3096649732","https://openalex.org/W3104775050","https://openalex.org/W3127131334","https://openalex.org/W3133578396","https://openalex.org/W3133725905","https://openalex.org/W3174208823","https://openalex.org/W3185169430","https://openalex.org/W3193808527","https://openalex.org/W3207800181","https://openalex.org/W4220903013","https://openalex.org/W4220909387","https://openalex.org/W4292811160","https://openalex.org/W4308659718","https://openalex.org/W4313153185","https://openalex.org/W4319069044"],"related_works":["https://openalex.org/W1970433854","https://openalex.org/W2023867642","https://openalex.org/W1905852083","https://openalex.org/W2085033728","https://openalex.org/W113996306","https://openalex.org/W4285411112","https://openalex.org/W81589881","https://openalex.org/W2138789738","https://openalex.org/W830719319","https://openalex.org/W2370630290"],"abstract_inverted_index":{"The":[0],"massive":[1],"amounts":[2],"of":[3,34],"data":[4,10],"generated":[5],"by":[6],"camera":[7],"sensors":[8],"motivate":[9],"processing":[11,49,64,83],"inside":[12,50],"pixel":[13,52,60],"arrays,":[14],"i.e.,":[15],"at":[16],"the":[17,27],"extreme-edge.":[18],"Several":[19],"critical":[20],"developments":[21],"have":[22],"fueled":[23],"recent":[24],"interest":[25],"in":[26,42,53],"processing-in-pixel-in-memory":[28],"paradigm":[29],"for":[30,67,129],"a":[31,54,91,120],"wide":[32],"range":[33],"visual":[35,133],"machine":[36],"intelligence":[37,134],"tasks,":[38],"including":[39],"(1)":[40],"advances":[41],"3D":[43,55],"integration":[44],"technology":[45,97],"to":[46,77,105],"enable":[47],"complex":[48,131],"each":[51],"integrated":[56],"manner":[57],"while":[58],"maintaining":[59],"density,":[61],"(2)":[62],"analog":[63,82],"circuit":[65,99],"techniques":[66,76],"massively":[68],"parallel":[69],"low-energy":[70],"in-pixel":[71],"computations,":[72],"and":[73,102,111,126],"(3)":[74],"algorithmic":[75,103,127],"mitigate":[78],"non-idealities":[79],"associated":[80],"with":[81],"through":[84],"hardware-aware":[85],"training":[86],"schemes.":[87],"This":[88],"article":[89],"presents":[90],"comprehensive":[92,121],"technology-circuit-algorithm":[93],"landscape":[94],"that":[95],"connects":[96],"capabilities,":[98],"design":[100],"strategies,":[101],"optimizations":[104,128],"power,":[106],"performance,":[107],"area,":[108],"bandwidth":[109],"reduction,":[110],"application-level":[112],"accuracy":[113],"metrics.":[114],"We":[115],"present":[116],"our":[117,138],"results":[118],"using":[119],"co-design":[122],"framework":[123],"incorporating":[124],"hardware":[125],"various":[130],"real-life":[132],"tasks":[135],"mapped":[136],"onto":[137],"P2M":[139],"paradigm.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2023-04-28T00:00:00"}
