{"id":"https://openalex.org/W3206429150","doi":"https://doi.org/10.1145/3466752.3480084","title":"PointAcc: Efficient Point Cloud Accelerator","display_name":"PointAcc: Efficient Point Cloud Accelerator","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3206429150","doi":"https://doi.org/10.1145/3466752.3480084","mag":"3206429150"},"language":"en","primary_location":{"id":"doi:10.1145/3466752.3480084","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3466752.3480084","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3466752.3480084","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3466752.3480084","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yujun Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yujun Lin","raw_affiliation_strings":["MIT, United States of America"],"affiliations":[{"raw_affiliation_string":"MIT, United States of America","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhekai Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109586","display_name":"Moscow Institute of Thermal Technology","ror":"https://ror.org/021es5e59","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210109586"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Zhekai Zhang","raw_affiliation_strings":["MIT"],"affiliations":[{"raw_affiliation_string":"MIT","institution_ids":["https://openalex.org/I4210109586"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haotian Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109586","display_name":"Moscow Institute of Thermal Technology","ror":"https://ror.org/021es5e59","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210109586"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Haotian Tang","raw_affiliation_strings":["MIT"],"affiliations":[{"raw_affiliation_string":"MIT","institution_ids":["https://openalex.org/I4210109586"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hanrui Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hanrui Wang","raw_affiliation_strings":["MIT, United States of America"],"affiliations":[{"raw_affiliation_string":"MIT, United States of America","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Song Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109586","display_name":"Moscow Institute of Thermal Technology","ror":"https://ror.org/021es5e59","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210109586"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Song Han","raw_affiliation_strings":["MIT"],"affiliations":[{"raw_affiliation_string":"MIT","institution_ids":["https://openalex.org/I4210109586"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.6093,"has_fulltext":true,"cited_by_count":75,"citation_normalized_percentile":{"value":0.99190261,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"449","last_page":"461"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7250000238418579},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6942999958992004},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4964999854564667},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4869999885559082},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4478999972343445},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.322299987077713}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7250000238418579},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6942999958992004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6744999885559082},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4964999854564667},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4869999885559082},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4478999972343445},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.38350000977516174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.323199987411499},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3138999938964844},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C174440990","wikidata":"https://www.wikidata.org/wiki/Q681349","display_name":"Point-to-point","level":2,"score":0.30550000071525574},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.29100000858306885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28839999437332153},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.27390000224113464}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3466752.3480084","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3466752.3480084","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3466752.3480084","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2110.07600","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2110.07600","pdf_url":"https://arxiv.org/pdf/2110.07600","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3466752.3480084","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3466752.3480084","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3466752.3480084","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3206429150.pdf","grobid_xml":"https://content.openalex.org/works/W3206429150.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1848593906","https://openalex.org/W1972648069","https://openalex.org/W2048266589","https://openalex.org/W2144545036","https://openalex.org/W2285660444","https://openalex.org/W2442974303","https://openalex.org/W2460657278","https://openalex.org/W2516141709","https://openalex.org/W2518281301","https://openalex.org/W2565125333","https://openalex.org/W2606722458","https://openalex.org/W2925491732","https://openalex.org/W2962731536","https://openalex.org/W2962928871","https://openalex.org/W2963125977","https://openalex.org/W2963182550","https://openalex.org/W2963231572","https://openalex.org/W2964062501","https://openalex.org/W2979750740","https://openalex.org/W2980295787","https://openalex.org/W3034550906","https://openalex.org/W3104006012","https://openalex.org/W3109154950","https://openalex.org/W3167095230","https://openalex.org/W3181190968","https://openalex.org/W4236868170","https://openalex.org/W4240168186"],"related_works":[],"abstract_inverted_index":{"Deep":[0],"learning":[1],"on":[2,29],"point":[3,44,52,66],"clouds":[4],"plays":[5],"a":[6,10],"vital":[7],"role":[8],"in":[9,26,94,108],"wide":[11],"range":[12],"of":[13,65,102],"applications":[14,22],"such":[15],"as":[16],"autonomous":[17],"driving":[18],"and":[19,32,37,57,83,100],"AR/VR.":[20],"These":[21],"interact":[23],"with":[24],"people":[25],"real":[27],"time":[28],"edge":[30],"devices":[31],"thus":[33],"require":[34],"low":[35,38],"latency":[36],"energy.":[39],"Compared":[40],"to":[41,46,70,77],"projecting":[42],"the":[43,61,80,86],"cloud":[45,53,67],"2D":[47],"space,":[48],"directly":[49],"processing":[50],"3D":[51],"yields":[54],"higher":[55],"accuracy":[56],"lower":[58],"#MACs.":[59],"However,":[60],"extremely":[62],"sparse":[63,103],"nature":[64],"poses":[68],"challenges":[69],"hardware":[71],"acceleration.":[72],"For":[73],"example,":[74],"we":[75],"need":[76],"explicitly":[78],"determine":[79],"nonzero":[81,87],"outputs":[82],"search":[84],"for":[85],"neighbors":[88],"(mapping":[89],"operation),":[90],"which":[91],"is":[92],"unsupported":[93],"existing":[95],"accelerators.":[96],"Furthermore,":[97],"explicit":[98],"gather":[99],"scatter":[101],"features":[104],"are":[105],"required,":[106],"resulting":[107],"large":[109],"data":[110],"movement":[111],"overhead.":[112]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2021-10-25T00:00:00"}
