{"id":"https://openalex.org/W3207145355","doi":null,"title":"PointAcc: Efficient Point Cloud Accelerator","display_name":"PointAcc: Efficient Point Cloud Accelerator","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3207145355","mag":"3207145355"},"language":"en","primary_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/143673","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/143673","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM","raw_type":"http://purl.org/eprint/type/ConferencePaper"},"volume":null,"type":"conference-paper","indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/1721.1/143673","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021398655","display_name":"Yujun Lin","orcid":"https://orcid.org/0000-0001-6314-1722","observed_orcids":["https://orcid.org/0000-0001-6314-1722"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lin, Yujun","raw_affiliation_strings":["MIT, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT, United States of America","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065492534","display_name":"Zhekai Zhang","orcid":"https://orcid.org/0000-0002-9777-3792","observed_orcids":["https://orcid.org/0000-0002-9777-3792"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhang, Zhekai","raw_affiliation_strings":["MIT Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101819029","display_name":"Haotian Tang","orcid":"https://orcid.org/0000-0002-6567-6170","observed_orcids":["https://orcid.org/0000-0002-6567-6170"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tang, Haotian","raw_affiliation_strings":["MIT Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119012009","display_name":"Hanrui Wang","orcid":"https://orcid.org/0000-0002-7229-4015","observed_orcids":["https://orcid.org/0000-0002-7229-4015","https://orcid.org/0000-0002-7498-0908"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wang, Hanrui","raw_affiliation_strings":["MIT, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT, United States of America","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070926896","display_name":"Song Han","orcid":"https://orcid.org/0000-0002-4186-7618","observed_orcids":["https://orcid.org/0000-0002-4186-7618"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Han, Song","raw_affiliation_strings":["MIT Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":8.9061,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.98747253,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.5098000168800354,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.5098000168800354,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.45509999990463257,"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"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.008999999612569809,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud-processing","display_name":"point cloud processing","score":0.7770000100135803},{"id":"https://openalex.org/keywords/hardware-accelerators","display_name":"hardware accelerators","score":0.8240000009536743},{"id":"https://openalex.org/keywords/sparse-computation","display_name":"sparse computation","score":0.6520000100135803},{"id":"https://openalex.org/keywords/memory-footprint-reduction","display_name":"memory footprint reduction","score":0.8740000128746033},{"id":"https://openalex.org/keywords/energy-efficiency","display_name":"energy efficiency","score":0.6819999814033508},{"id":"https://openalex.org/keywords/point-cloud-segmentation","display_name":"point cloud segmentation","score":0.7670000195503235},{"id":"https://openalex.org/keywords/edge-devices","display_name":"edge devices","score":0.5709999799728394},{"id":"https://openalex.org/keywords/autonomous-driving","display_name":"autonomous driving","score":0.5220000147819519},{"id":"https://openalex.org/keywords/virtual-and-augmented-reality","display_name":"virtual and augmented reality","score":0.8299999833106995}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8467262983322144},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7360615134239197},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6558196544647217},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.641693651676178},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6144098043441772},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.5868281126022339},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5556554198265076},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4431767761707306},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4385344088077545},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41107186675071716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3737296462059021},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.36534833908081055},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.23091402649879456},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.22467300295829773},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2233734130859375},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11319136619567871},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:dspace.mit.edu:1721.1/143673","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/143673","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM","raw_type":"http://purl.org/eprint/type/ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/143673","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/143673","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM","raw_type":"http://purl.org/eprint/type/ConferencePaper"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1848593906","https://openalex.org/W1920022804","https://openalex.org/W1972648069","https://openalex.org/W2034861439","https://openalex.org/W2048266589","https://openalex.org/W2111034147","https://openalex.org/W2144545036","https://openalex.org/W2150066425","https://openalex.org/W2190691619","https://openalex.org/W2194775991","https://openalex.org/W2285660444","https://openalex.org/W2289252105","https://openalex.org/W2339077268","https://openalex.org/W2442974303","https://openalex.org/W2460657278","https://openalex.org/W2464177207","https://openalex.org/W2516141709","https://openalex.org/W2518281301","https://openalex.org/W2560609797","https://openalex.org/W2565125333","https://openalex.org/W2565851976","https://openalex.org/W2606722458","https://openalex.org/W2606987267","https://openalex.org/W2624503621","https://openalex.org/W2625457103","https://openalex.org/W2769205412","https://openalex.org/W2769297824","https://openalex.org/W2902302021","https://openalex.org/W2925491732","https://openalex.org/W2938428612","https://openalex.org/W2939201152","https://openalex.org/W2950656546","https://openalex.org/W2952682304","https://openalex.org/W2953212265","https://openalex.org/W2954258401","https://openalex.org/W2963158438","https://openalex.org/W2963231572","https://openalex.org/W2965803762","https://openalex.org/W2979750740","https://openalex.org/W2980295787","https://openalex.org/W2996167479","https://openalex.org/W3016832937","https://openalex.org/W3023154643","https://openalex.org/W3033591146","https://openalex.org/W3034550906","https://openalex.org/W3104006012","https://openalex.org/W3109154950","https://openalex.org/W3127091182","https://openalex.org/W3153131045","https://openalex.org/W3159727696","https://openalex.org/W3167095230","https://openalex.org/W3181190968","https://openalex.org/W4236868170","https://openalex.org/W4240168186","https://openalex.org/W4243519499","https://openalex.org/W4249932213","https://openalex.org/W4251575795","https://openalex.org/W4255681033","https://openalex.org/W4286696412","https://openalex.org/W4310078553","https://openalex.org/W4394671432"],"related_works":["https://openalex.org/W4389491921","https://openalex.org/W4224319921","https://openalex.org/W7046848569","https://openalex.org/W4408151374","https://openalex.org/W2976654955","https://openalex.org/W4404959618","https://openalex.org/W4408151393","https://openalex.org/W3206403068","https://openalex.org/W4393168978","https://openalex.org/W4385815536"],"abstract_inverted_index":{"Deep":[0],"learning":[1,142],"on":[2,28,127,173,213],"point":[3,43,52,66,124,139,175,223],"clouds":[4],"plays":[5],"a":[6,10,137],"vital":[7],"role":[8],"in":[9,26,94,108],"wide":[11],"range":[12],"of":[13,65,102,122],"applications":[14,22],"such":[15],"as":[16],"autonomous":[17],"driving":[18],"and":[19,31,36,57,83,100,161,185],"AR/VR.":[20],"These":[21],"interact":[23],"with":[24,158,194,207],"people":[25],"real-time":[27],"edge":[29],"devices":[30],"thus":[32],"require":[33],"low":[34,37],"latency":[35],"energy.":[38],"Compared":[39],"to":[40,45,70,77,167],"projecting":[41],"the":[42,50,61,80,86,119,131,155,169,200,214,219],"cloud":[44,53,67,125,140,176,224],"2D":[46],"space,":[47],"directly":[48],"processing":[49],"3D":[51],"yields":[54],"higher":[55,209],"accuracy":[56,210],"lower":[58],"#MACs.":[59],"However,":[60],"extremely":[62],"sparse":[63,103,156],"nature":[64],"poses":[68],"challenges":[69],"hardware":[71],"acceleration.":[72],"For":[73],"example,":[74],"we":[75,116,133],"need":[76],"explicitly":[78],"determine":[79],"nonzero":[81,87],"outputs":[82],"search":[84],"for":[85,221],"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],"In":[113],"this":[114],"paper,":[115],"comprehensively":[117],"analyze":[118],"performance":[120],"bottleneck":[121],"modern":[123],"networks":[126],"CPU/GPU/TPU.":[128],"To":[129],"address":[130],"challenges,":[132],"then":[134],"present":[135],"PointAcc,":[136],"novel":[138],"deep":[141],"accelerator.":[143],"PointAcc":[144,181,198,217],"maps":[145],"diverse":[146],"mapping":[147],"operations":[148],"onto":[149],"one":[150],"versatile":[151],"ranking-based":[152],"kernel,":[153],"streams":[154],"computation":[157],"configurable":[159],"caching,":[160],"temporally":[162],"fuses":[163],"consecutive":[164],"dense":[165],"layers":[166],"reduce":[168],"memory":[170],"footprint.":[171],"Evaluated":[172],"8":[174],"models":[177],"across":[178],"4":[179],"applications,":[180],"achieves":[182],"3.7X":[183],"speedup":[184,206],"22X":[186],"energy":[187],"savings":[188],"over":[189],"RTX":[190],"2080Ti":[191],"GPU.":[192],"Co-designed":[193],"light-weight":[195],"neural":[196],"networks,":[197],"rivals":[199],"prior":[201],"accelerator":[202],"Mesorasi":[203],"by":[204],"100X":[205],"9.1%":[208],"running":[211],"segmentation":[212],"S3DIS":[215],"dataset.":[216],"paves":[218],"way":[220],"efficient":[222],"recognition.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2021-10-25T00:00:00"}