{"id":"https://openalex.org/W4403346657","doi":"https://doi.org/10.48550/arxiv.2410.05686","title":"Deep Learning and Machine Learning with GPGPU and CUDA: Unlocking the\n Power of Parallel Computing","display_name":"Deep Learning and Machine Learning with GPGPU and CUDA: Unlocking the\n Power of Parallel Computing","publication_year":2024,"publication_date":"2024-10-08","ids":{"openalex":"https://openalex.org/W4403346657","doi":"https://doi.org/10.48550/arxiv.2410.05686"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.05686","pdf_url":"http://arxiv.org/pdf/2410.05686","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2410.05686","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107956940","display_name":"Ming Li","orcid":"https://orcid.org/0000-0003-3081-2424"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Ming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108304756","display_name":"Ziqian Bi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bi, Ziqian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656830","display_name":"Tianyang Wang","orcid":"https://orcid.org/0000-0002-7256-883X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Tianyang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111363143","display_name":"Yizhu Wen","orcid":"https://orcid.org/0009-0008-0479-4991"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen, Yizhu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001865341","display_name":"Qian Niu","orcid":"https://orcid.org/0000-0001-7139-384X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niu, Qian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682738","display_name":"Junyu Liu","orcid":"https://orcid.org/0000-0002-4293-1247"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Junyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113390218","display_name":"Benji Peng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Benji","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378880","display_name":"Sen Zhang","orcid":"https://orcid.org/0000-0002-0077-2196"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Sen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091365447","display_name":"Xiaoyong Pan","orcid":"https://orcid.org/0000-0001-5010-464X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pan, Xuanhe","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101432897","display_name":"Jiawei Xu","orcid":"https://orcid.org/0000-0002-2732-086X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Jiawei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047629664","display_name":"Jinlang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jinlang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101430780","display_name":"Keyu Chen","orcid":"https://orcid.org/0000-0003-0808-2533"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Keyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020602843","display_name":"Caitlyn Heqi Yin","orcid":"https://orcid.org/0009-0006-5037-8716"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Caitlyn Heqi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109759394","display_name":"Pohsun Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Pohsun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100347763","display_name":"Ming Liu","orcid":"https://orcid.org/0000-0002-0552-6541"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Ming","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":84},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.2413,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.2413,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.9361913},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.84924936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78027195},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6470328},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5501944},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.41268364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3858602},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.37780225},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.2114881},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.17955542}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.05686","pdf_url":"http://arxiv.org/pdf/2410.05686","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.05686","pdf_url":"http://arxiv.org/pdf/2410.05686","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3048701459","https://openalex.org/W2893308117","https://openalex.org/W2792081825","https://openalex.org/W240129890","https://openalex.org/W2389600408","https://openalex.org/W2370314112","https://openalex.org/W2364044215","https://openalex.org/W2149078538","https://openalex.org/W1963859303","https://openalex.org/W1912958759"],"abstract_inverted_index":{"This":[0,151],"book":[1,47,124],"presents":[2],"a":[3],"comprehensive":[4],"exploration":[5],"of":[6,32,77,100,168],"GPGPU":[7,78],"(General":[8],"Purpose":[9],"Graphics":[10],"Processing":[11],"Unit)":[12],"and":[13,19,53,61,68,91,137,149,158,172,180],"its":[14,173],"applications":[15,76],"in":[16,58,79,146,176],"deep":[17,59],"learning":[18,87,132,179],"machine":[20,86,131,178],"learning.":[21],"It":[22],"focuses":[23],"on":[24,51,112],"how":[25,140],"parallel":[26,104,170],"computing,":[27,85],"particularly":[28],"through":[29],"the":[30,98,102],"use":[31],"CUDA":[33],"(Compute":[34],"Unified":[35],"Device":[36],"Architecture),":[37],"can":[38],"unlock":[39],"unprecedented":[40],"computational":[41],"power":[42],"for":[43,120,155],"complex":[44],"tasks.":[45],"The":[46,94,123],"provides":[48,126],"detailed":[49],"discussions":[50],"CPU":[52],"GPU":[54,63,144],"architectures,":[55],"data":[56],"flow":[57],"learning,":[60],"advanced":[62,159],"features":[64],"like":[65,134],"streams,":[66],"concurrency,":[67],"dynamic":[69],"parallelism.":[70],"Furthermore,":[71],"it":[72],"delves":[73],"into":[74,117],"practical":[75,127],"various":[80],"domains":[81],"such":[82],"as":[83],"scientific":[84],"acceleration,":[88],"real-time":[89],"rendering,":[90],"cryptocurrency":[92],"mining.":[93],"authors":[95],"also":[96,125],"emphasize":[97],"importance":[99],"selecting":[101],"right":[103],"architecture":[105],"(e.g.,":[106],"GPU,":[107],"FPGA,":[108],"TPU,":[109],"ASIC)":[110],"based":[111],"specific":[113],"tasks,":[114],"offering":[115],"insights":[116],"optimizing":[118],"algorithms":[119],"these":[121],"platforms.":[122],"examples":[128],"with":[129],"popular":[130],"frameworks":[133],"PyTorch,":[135],"TensorFlow,":[136],"XGBoost,":[138],"demonstrating":[139],"to":[141,164],"efficiently":[142],"leverage":[143],"resources":[145],"both":[147,156],"training":[148],"inference.":[150],"resource":[152],"is":[153],"valuable":[154],"beginners":[157],"readers":[160],"who":[161],"are":[162],"looking":[163],"deepen":[165],"their":[166],"understanding":[167],"GPU-based":[169],"computing":[171],"significant":[174],"role":[175],"modern":[177],"AI":[181],"applications.":[182]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4403346657","counts_by_year":[],"updated_date":"2024-12-14T19:01:20.831640","created_date":"2024-10-12"}