{"id":"https://openalex.org/W4413278500","doi":"https://doi.org/10.1109/icfpt64416.2024.11113475","title":"Optimizing DNN Accelerator Compression Using Tolerable Accuracy Loss","display_name":"Optimizing DNN Accelerator Compression Using Tolerable Accuracy Loss","publication_year":2024,"publication_date":"2024-12-10","ids":{"openalex":"https://openalex.org/W4413278500","doi":"https://doi.org/10.1109/icfpt64416.2024.11113475"},"language":"en","primary_location":{"id":"doi:10.1109/icfpt64416.2024.11113475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icfpt64416.2024.11113475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Field Programmable Technology (ICFPT)","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/A5054475218","display_name":"Zhiqiang Que","orcid":"https://orcid.org/0000-0002-9263-6529"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Zhiqiang Que","raw_affiliation_strings":["Imperial College London,Department of Computing,UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Computing,UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113782771","display_name":"A.M. Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anyan Zhao","raw_affiliation_strings":["Imperial College London,Department of Computing,UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Computing,UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109546982","display_name":"Jos\u00e9 G. F. Coutinho","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jose G. F. Coutinho","raw_affiliation_strings":["Imperial College London,Department of Computing,UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Computing,UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083303676","display_name":"Ce Guo","orcid":"https://orcid.org/0000-0002-0272-9175"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ce Guo","raw_affiliation_strings":["Imperial College London,Department of Computing,UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Computing,UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057940557","display_name":"Wayne Luk","orcid":"https://orcid.org/0000-0002-6750-927X"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wayne Luk","raw_affiliation_strings":["Imperial College London,Department of Computing,UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Computing,UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054475218"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31965876,"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":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9358000159263611,"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":0.9358000159263611,"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":0.6467086672782898},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.518198549747467},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4978809356689453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17584329843521118},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1469157636165619},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.05872374773025513}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6467086672782898},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.518198549747467},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4978809356689453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17584329843521118},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1469157636165619},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.05872374773025513}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icfpt64416.2024.11113475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icfpt64416.2024.11113475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Field Programmable Technology (ICFPT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G5965966754","display_name":null,"funder_award_id":"EP/V028251/1,EP/L016796/1,EP/N031768/1,EP/P010040/1,EP/S030069/1,EP/X036006/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2981240861","https://openalex.org/W3016142271","https://openalex.org/W3175548485","https://openalex.org/W3176081321","https://openalex.org/W3183056907","https://openalex.org/W4311839577","https://openalex.org/W4312707063","https://openalex.org/W4388214761","https://openalex.org/W4390880528","https://openalex.org/W4394862735","https://openalex.org/W4406461815"],"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/W2612632602","https://openalex.org/W2321805087"],"abstract_inverted_index":{"This":[0,26,88],"paper":[1],"proposes":[2],"a":[3,17,91],"novel":[4],"nested-loop":[5],"optimization":[6,31,35,43,63],"approach":[7,41,89],"which":[8,75],"utilizes":[9],"the":[10,69],"maximum":[11],"tolerable":[12],"model":[13,95],"accuracy":[14,84],"loss":[15],"as":[16,51],"hyperparameter":[18],"to":[19,98],"improve":[20],"DNNs":[21],"compression":[22],"for":[23,94],"hardware":[24,54,80,103],"accelerators.":[25,104],"process":[27],"includes":[28],"local":[29],"inner-loop":[30],"and":[32,53,67,100],"global":[33],"outer-loop":[34],"with":[36],"bottom-up":[37],"feedback.":[38],"Our":[39],"multi-level":[40],"encompasses":[42],"tasks":[44],"distributed":[45],"across":[46],"different":[47],"computational":[48],"spaces,":[49],"such":[50],"software":[52],"(High-Level":[55],"Synthesis,":[56],"HLS).":[57],"As":[58],"an":[59,62],"example":[60],"of":[61],"task,":[64],"we":[65],"introduce":[66],"detail":[68],"mixed-precision":[70],"Quantization":[71],"Heuristic":[72],"Search":[73],"(QHS),":[74],"adjusts":[76],"numerical":[77],"representations,":[78],"reducing":[79],"complexity":[81],"while":[82],"maintaining":[83],"within":[85],"user-defined":[86],"tolerances.":[87],"offers":[90],"new":[92],"perspective":[93],"compression,":[96],"leading":[97],"efficient":[99],"effective":[101],"DNN":[102]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}