{"id":"https://openalex.org/W4410492983","doi":"https://doi.org/10.1109/cicc63670.2025.10982861","title":"SparseTrim: A Neural Network Accelerator Featuring On-Chip Decompression of Fine-Grained Sparse Model with 10.1TOPS/W System Energy Efficiency","display_name":"SparseTrim: A Neural Network Accelerator Featuring On-Chip Decompression of Fine-Grained Sparse Model with 10.1TOPS/W System Energy Efficiency","publication_year":2025,"publication_date":"2025-04-13","ids":{"openalex":"https://openalex.org/W4410492983","doi":"https://doi.org/10.1109/cicc63670.2025.10982861"},"language":"en","primary_location":{"id":"doi:10.1109/cicc63670.2025.10982861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cicc63670.2025.10982861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Custom Integrated Circuits Conference (CICC)","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/A5018275885","display_name":"Jieyu Li","orcid":"https://orcid.org/0000-0002-9147-3756"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jieyu Li","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101583945","display_name":"Weifeng He","orcid":"https://orcid.org/0000-0002-7753-644X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifeng He","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109479713","display_name":"Boran Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boran Jiang","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352770","display_name":"Xinyu Wang","orcid":"https://orcid.org/0000-0001-8477-1774"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Wang","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054897331","display_name":"Guanghui He","orcid":"https://orcid.org/0000-0002-0486-6421"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui He","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012517479","display_name":"Dingxuan Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dingxuan Liu","raw_affiliation_strings":["Aicxtek Technologies Co., Ltd.,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aicxtek Technologies Co., Ltd.,Shenzhen,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011887658","display_name":"Mingoo Seok","orcid":"https://orcid.org/0000-0002-9722-0979"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingoo Seok","raw_affiliation_strings":["Columbia University,New York,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University,New York,USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9409999847412109,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9409999847412109,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9133999943733215,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.5801581144332886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5374430418014526},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.5358676910400391},{"id":"https://openalex.org/keywords/decompression","display_name":"Decompression","score":0.4939790368080139},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.44884970784187317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1786130964756012},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15627506375312805},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09596863389015198}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5801581144332886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5374430418014526},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.5358676910400391},{"id":"https://openalex.org/C2779480328","wikidata":"https://www.wikidata.org/wiki/Q1183684","display_name":"Decompression","level":2,"score":0.4939790368080139},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.44884970784187317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1786130964756012},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15627506375312805},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09596863389015198},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cicc63670.2025.10982861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cicc63670.2025.10982861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Custom Integrated Circuits Conference (CICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1999085092","https://openalex.org/W2945146780","https://openalex.org/W3114479342","https://openalex.org/W4221089937","https://openalex.org/W4360606017","https://openalex.org/W4386763534","https://openalex.org/W4396940000","https://openalex.org/W6677580257","https://openalex.org/W6791230884"],"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":{"The":[0,82],"large":[1],"off-chip":[2,51,63,88],"memory":[3,38,52],"access":[4],"cost":[5],"coupled":[6],"with":[7],"ever-increasing":[8],"model":[9,28],"size":[10],"has":[11],"posed":[12],"a":[13],"major":[14],"challenge":[15],"to":[16,35,44],"develop":[17],"energy-efficient":[18],"neural-network":[19],"(NN)":[20],"accelerators":[21,43],"[1].":[22],"An":[23],"effective":[24],"approach":[25],"is":[26,95],"fine-grained":[27],"pruning":[29],"followed":[30],"by":[31],"sparse":[32,48,68],"weight":[33,64,69,89],"compression":[34,70,76],"reduce":[36],"the":[37,46,62,85,93,99],"footprint":[39],"[2]\u2013[6].":[40],"This":[41],"allows":[42],"load":[45],"compressed":[47],"weights":[49],"from":[50,74],"and":[53,92],"decompress":[54],"them":[55],"just":[56],"before":[57],"computation,":[58],"thereby":[59],"greatly":[60],"reducing":[61],"loading":[65,90],"cost.":[66],"Prior":[67],"methods,":[71],"however,":[72],"suffer":[73],"low":[75],"ratio":[77],"or":[78],"slow":[79],"sequential":[80],"decompression.":[81],"former":[83],"limits":[84],"reduction":[86],"of":[87,103],"cost,":[91],"latter":[94],"not":[96],"suitable":[97],"for":[98],"massively":[100],"parallel":[101],"computation":[102],"NN":[104],"accelerators.":[105]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}