{"id":"https://openalex.org/W4410583847","doi":"https://doi.org/10.23919/date64628.2025.10992907","title":"LCache: Log-Structured SSD Caching for Training Deep Learning Models","display_name":"LCache: Log-Structured SSD Caching for Training Deep Learning Models","publication_year":2025,"publication_date":"2025-03-31","ids":{"openalex":"https://openalex.org/W4410583847","doi":"https://doi.org/10.23919/date64628.2025.10992907"},"language":"en","primary_location":{"id":"doi:10.23919/date64628.2025.10992907","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date64628.2025.10992907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Design, Automation &amp;amp; Test in Europe Conference (DATE)","raw_type":"proceedings-article"},"type":"article","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/A5013478762","display_name":"Shucheng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shucheng Wang","raw_affiliation_strings":["China Mobile (Suzhou) Software Technology Co., Ltd.,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"China Mobile (Suzhou) Software Technology Co., Ltd.,Suzhou,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033375325","display_name":"Zhiguo Xu","orcid":"https://orcid.org/0000-0001-9449-6876"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Xu","raw_affiliation_strings":["China Mobile (Suzhou) Software Technology Co., Ltd.,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"China Mobile (Suzhou) Software Technology Co., Ltd.,Suzhou,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061147462","display_name":"Zhandong Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhandong Guo","raw_affiliation_strings":["China Mobile (Suzhou) Software Technology Co., Ltd.,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"China Mobile (Suzhou) Software Technology Co., Ltd.,Suzhou,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031177874","display_name":"Jian Sheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4403386725","display_name":"Suzhou City University","ror":"https://ror.org/025jsyk19","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Sheng","raw_affiliation_strings":["Suzhou City University,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"Suzhou City University,Suzhou,China","institution_ids":["https://openalex.org/I4403386725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113325235","display_name":"Kaiye Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiye Zhou","raw_affiliation_strings":["China Mobile (Suzhou) Software Technology Co., Ltd.,Suzhou,China"],"affiliations":[{"raw_affiliation_string":"China Mobile (Suzhou) Software Technology Co., Ltd.,Suzhou,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061574479","display_name":"Qiang Cao","orcid":"https://orcid.org/0000-0001-9890-323X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Cao","raw_affiliation_strings":["Huazhong University of Science and Technology,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5013478762"],"corresponding_institution_ids":["https://openalex.org/I180662265"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13627364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9617000222206116,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.8146989345550537},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.7234308123588562},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5284982323646545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4932324290275574},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.42109841108322144}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8146989345550537},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.7234308123588562},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5284982323646545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4932324290275574},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.42109841108322144},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date64628.2025.10992907","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date64628.2025.10992907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Design, Automation &amp;amp; Test in Europe Conference (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1866529865","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2402144811","https://openalex.org/W2883610605","https://openalex.org/W2900042580","https://openalex.org/W2963433607","https://openalex.org/W3021124033","https://openalex.org/W3048346032","https://openalex.org/W3081168214","https://openalex.org/W3138303811","https://openalex.org/W3206418153","https://openalex.org/W4360831955","https://openalex.org/W4372261197","https://openalex.org/W4387302750","https://openalex.org/W6695314431","https://openalex.org/W6765385949","https://openalex.org/W6766978945","https://openalex.org/W6774103200","https://openalex.org/W6784333009","https://openalex.org/W6787673396","https://openalex.org/W6787972765","https://openalex.org/W6794559225","https://openalex.org/W6797953395","https://openalex.org/W6799372109","https://openalex.org/W6811340617","https://openalex.org/W6846007759","https://openalex.org/W6850656743","https://openalex.org/W6852887568","https://openalex.org/W7061777244"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"Training":[0],"deep":[1],"learning":[2],"models":[3,169],"is":[4],"computationally":[5],"demanding":[6],"and":[7,66,96,113,141,160,170,178,184],"data-intensive.":[8],"Existing":[9],"approaches":[10],"utilize":[11],"local":[12],"SSDs":[13,65],"within":[14],"training":[15,69,85],"servers":[16],"to":[17,58,131,155,182],"cache":[18,139],"datasets,":[19],"thereby":[20],"accelerating":[21],"data":[22,32,111,115,130,143],"loading":[23,33,116],"during":[24],"model":[25],"training.":[26],"However,":[27],"we":[28,49],"experimentally":[29],"observe":[30],"that":[31,126],"remains":[34],"a":[35,52,100,121],"performance":[36],"bottleneck":[37],"when":[38],"randomly":[39],"retrieving":[40],"small-sized":[41,90],"sample":[42,91],"files":[43,92],"on":[44,103,110],"SSDs.":[45],"In":[46],"this":[47],"paper,":[48],"introduce":[50],"LCache,":[51],"log-structured":[53],"dataset":[54,75],"caching":[55],"mechanism":[56,125],"designed":[57],"fully":[59],"leverage":[60],"the":[61,73,80,84,174],"I/O":[62,108],"capabilities":[63],"of":[64],"reduce":[67],"I/O-induced":[68],"stalls.":[70],"LCache":[71,119,151,164,172],"determines":[72],"randomized":[74],"access":[76],"order":[77],"by":[78,180],"extracting":[79],"pseudo-random":[81],"seed":[82],"from":[83,145],"frameworks.":[86],"It":[87],"then":[88],"aggregates":[89],"into":[93],"larger":[94],"chunks":[95],"stores":[97],"them":[98],"in":[99,186],"log":[101,123,158],"file":[102],"SSDs,":[104],"thus":[105],"enabling":[106],"sequential":[107],"requests":[109],"retrieval":[112,144],"improving":[114],"throughput.":[117],"Further-more,":[118],"proposes":[120],"real-time":[122],"reordering":[124],"strategically":[127],"schedules":[128],"cached":[129],"organize":[132],"logs":[133],"across":[134],"different":[135],"epochs,":[136],"which":[137],"enhances":[138],"utilization":[140],"minimizes":[142],"low-performance":[146],"remote":[147],"storage":[148],"systems.":[149],"Additionally,":[150],"incorporates":[152],"an":[153],"MetaIndex":[154],"enable":[156],"rapid":[157],"traversal":[159],"querying.":[161],"We":[162],"evaluate":[163],"with":[165],"various":[166],"real-world":[167],"DL":[168],"datasets.":[171],"outperforms":[173],"native":[175],"PyTorch":[176],"Dataloader":[177],"NoPFS":[179],"up":[181],"9.4x":[183],"7.8x":[185],"throughput,.":[187],"respectively,":[188]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
