{"id":"https://openalex.org/W7224933154","doi":"https://doi.org/10.1109/iscc70364.2026.11740060","title":"An Efficient Hierarchically Parallel GPU-Accelerated Framework in Large-Scale MIMO Detection","display_name":"An Efficient Hierarchically Parallel GPU-Accelerated Framework in Large-Scale MIMO Detection","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7224933154","doi":"https://doi.org/10.1109/iscc70364.2026.11740060"},"language":"en","primary_location":{"id":"doi:10.1109/iscc70364.2026.11740060","doi":"https://doi.org/10.1109/iscc70364.2026.11740060","is_oa":true,"landing_page_url":"https://doi.org/10.1109/iscc70364.2026.11740060","pdf_url":null,"source":{"id":"https://openalex.org/S4210175722","display_name":"IEEE Symposium on Computers and Communications (ISCC)","issn_l":"1530-1346","issn":["1530-1346","2642-7389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/iscc70364.2026.11740060","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029829739","display_name":"Qinglin Xun","orcid":"https://orcid.org/0009-0007-6382-9384","observed_orcids":["https://orcid.org/0009-0007-6382-9384"]},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinglin Xun","raw_affiliation_strings":["Pengcheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121108969","display_name":"Xueting Xu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueting Xu","raw_affiliation_strings":["Pengcheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020321399","display_name":"Fan Jiang","orcid":"https://orcid.org/0000-0003-0598-0178","observed_orcids":["https://orcid.org/0000-0003-0598-0178"]},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Jiang","raw_affiliation_strings":["Pengcheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063549704","display_name":"Ke Luo","orcid":"https://orcid.org/0000-0003-0118-7236","observed_orcids":["https://orcid.org/0000-0003-0118-7236"]},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Luo","raw_affiliation_strings":["Pengcheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016658545","display_name":"Jingpu Duan","orcid":"https://orcid.org/0000-0001-7507-2197","observed_orcids":["https://orcid.org/0000-0001-7507-2197"]},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingpu Duan","raw_affiliation_strings":["Pengcheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130238017","display_name":"Weichao Li","orcid":"https://orcid.org/0000-0002-7620-1955","observed_orcids":["https://orcid.org/0000-0002-7620-1955"]},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weichao Li","raw_affiliation_strings":["Pengcheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004595691","display_name":"Jinbei Zhang","orcid":"https://orcid.org/0000-0003-2348-1970","observed_orcids":["https://orcid.org/0000-0003-2348-1970"]},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinbei Zhang","raw_affiliation_strings":["Pengcheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5139160816","display_name":"Xiaofeng Tao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Tao","raw_affiliation_strings":["Pengcheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210136793"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.90021235,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.5121999979019165,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.5121999979019165,"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/T10792","display_name":"Matrix Theory and Algorithms","score":0.21889999508857727,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.21230000257492065,"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/matrix-inversion","display_name":"matrix inversion","score":0.7099999785423279},{"id":"https://openalex.org/keywords/gpu-acceleration","display_name":"GPU acceleration","score":0.9470000267028809},{"id":"https://openalex.org/keywords/hierarchical-parallelism","display_name":"hierarchical parallelism","score":0.8289999961853027},{"id":"https://openalex.org/keywords/neumann-series","display_name":"Neumann series","score":0.8659999966621399},{"id":"https://openalex.org/keywords/block-diagonal-structure","display_name":"block diagonal structure","score":0.753000020980835},{"id":"https://openalex.org/keywords/low-precision-arithmetic","display_name":"low-precision arithmetic","score":0.9959999918937683},{"id":"https://openalex.org/keywords/spectral-efficiency","display_name":"spectral efficiency","score":0.6150000095367432}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5911999940872192},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3450999855995178},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3346000015735626},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.273499995470047},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2700999975204468},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2689000070095062},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.2485000044107437},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.24709999561309814},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.23280000686645508}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc70364.2026.11740060","doi":"https://doi.org/10.1109/iscc70364.2026.11740060","is_oa":true,"landing_page_url":"https://doi.org/10.1109/iscc70364.2026.11740060","pdf_url":null,"source":{"id":"https://openalex.org/S4210175722","display_name":"IEEE Symposium on Computers and Communications (ISCC)","issn_l":"1530-1346","issn":["1530-1346","2642-7389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/iscc70364.2026.11740060","doi":"https://doi.org/10.1109/iscc70364.2026.11740060","is_oa":true,"landing_page_url":"https://doi.org/10.1109/iscc70364.2026.11740060","pdf_url":null,"source":{"id":"https://openalex.org/S4210175722","display_name":"IEEE Symposium on Computers and Communications (ISCC)","issn_l":"1530-1346","issn":["1530-1346","2642-7389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null},{"id":"https://openalex.org/F4320334009","display_name":"Guangdong Provincial Pearl River Talents Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1918848090","https://openalex.org/W2003283192","https://openalex.org/W2044046421","https://openalex.org/W2052321444","https://openalex.org/W2054138691","https://openalex.org/W2071877138","https://openalex.org/W2162801910","https://openalex.org/W2213586231","https://openalex.org/W2228659239","https://openalex.org/W2526268228","https://openalex.org/W2561024041","https://openalex.org/W2782666205","https://openalex.org/W2783864663","https://openalex.org/W2789886422","https://openalex.org/W2897534136","https://openalex.org/W2982387767","https://openalex.org/W3135160281","https://openalex.org/W4283217353","https://openalex.org/W4390496060","https://openalex.org/W4392159091","https://openalex.org/W4400646203"],"related_works":["https://openalex.org/W7100529190","https://openalex.org/W1514755245","https://openalex.org/W6903643486","https://openalex.org/W7203911852","https://openalex.org/W246970313","https://openalex.org/W7165133703","https://openalex.org/W3194021104","https://openalex.org/W3009178313","https://openalex.org/W2751737325","https://openalex.org/W7167269343"],"abstract_inverted_index":{"Large-scale":[0],"multiple-input":[1],"multiple-output":[2],"(MIMO)":[3],"systems":[4],"offer":[5],"high":[6],"spectral":[7,49],"efficiency":[8,41,50],"but":[9],"introduce":[10],"significant":[11],"computational":[12,40,98,162],"challenges":[13],"compared":[14,146,176],"to":[15,78,94,112,119,147,177],"smaller":[16],"MIMO":[17,70,134],"systems.":[18],"A":[19],"key":[20],"bottleneck":[21],"is":[22,77],"the":[23,47,80,109,173,178],"high-dimensional":[24],"matrix":[25,32,66,149],"inversion":[26,33,67,81,150],"used":[27],"for":[28,64,130],"detection":[29],"tasks.":[30],"Existing":[31],"methods":[34],"are":[35],"often":[36],"limited":[37],"by":[38],"insufficient":[39],"and":[42,91,115,123],"poor":[43],"scalability,":[44],"which":[45],"compromise":[46],"achievable":[48],"gains":[51],"in":[52,68],"MIMO.In":[53],"this":[54,101],"paper,":[55],"we":[56,104],"propose":[57],"ParaNeumann,":[58],"a":[59,84,138,152,182],"GPU-accelerated":[60],"hierarchical":[61,102],"parallel":[62,86],"framework":[63,166],"near-real-time":[65],"large-scale":[69],"detection.":[71],"The":[72],"core":[73],"idea":[74],"of":[75,142,157,161,172],"ParaNeumann":[76,136],"reformulate":[79],"process":[82],"into":[83,108],"three-level":[85],"architecture,":[87],"spanning":[88],"inter-subcarrier,":[89],"inter-submatrix,":[90],"intra-matrix":[92],"granularities":[93],"fully":[95],"exploit":[96],"GPU":[97],"resources.":[99],"Within":[100],"structure,":[103],"integrate":[105],"block-diagonal":[106],"structures":[107],"Neumann":[110],"series":[111],"accelerate":[113],"convergence,":[114],"leverage":[116],"low-precision":[117],"arithmetic":[118],"reduce":[120],"memory":[121],"cost":[122],"improve":[124],"throughput.":[125],"Evaluation":[126],"results":[127],"demonstrate":[128],"that":[129],"512":[131,133],"\u00d7":[132],"scenarios,":[135],"incurs":[137],"negligible":[139],"performance":[140],"loss":[141],"only":[143],"0.5":[144],"dB":[145],"exact":[148],"at":[151],"Bit":[153],"Error":[154],"Rate":[155],"(BER)":[156],"10\u22125.":[158],"In":[159],"terms":[160],"efficiency,":[163],"our":[164],"proposed":[165],"requires":[167],"as":[168,170],"little":[169],"one-third":[171],"computation":[174],"time":[175],"cuBLAS-based":[179],"baseline":[180],"on":[181],"commercial":[183],"RTX":[184],"4090":[185],"GPU.":[186]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-10-31T00:00:00"}
