{"id":"https://openalex.org/W6906567886","doi":"https://doi.org/10.18420/btw2023-27","title":"Communication-Optimal Parallel Reservoir Sampling","display_name":"Communication-Optimal Parallel Reservoir Sampling","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W6906567886","doi":"https://doi.org/10.18420/btw2023-27"},"language":"en","primary_location":{"id":"doi:10.18420/btw2023-27","is_oa":true,"landing_page_url":"https://doi.org/10.18420/btw2023-27","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.18420/btw2023-27","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Winter, Christian","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Winter, Christian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Sichert, Moritz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sichert, Moritz","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Birler, Altan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Birler, Altan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Neumann, Thomas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Neumann, Thomas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Kemper, Alfons","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kemper, Alfons","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32665133,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.8715000152587891,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.8715000152587891,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.03530000150203705,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.013700000010430813,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/bottleneck","display_name":"Bottleneck","score":0.743399977684021},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.5976999998092651},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5935999751091003},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5120000243186951},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.436599999666214},{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.28610000014305115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7434999942779541},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.743399977684021},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.5976999998092651},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5935999751091003},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5120000243186951},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46140000224113464},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.436599999666214},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.421999990940094},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4101000130176544},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34929999709129333},{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.28610000014305115},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18420/btw2023-27","is_oa":true,"landing_page_url":"https://doi.org/10.18420/btw2023-27","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.18420/btw2023-27","is_oa":true,"landing_page_url":"https://doi.org/10.18420/btw2023-27","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"When":[0],"evaluating":[1],"complex":[2],"analytical":[3],"queries":[4,14],"on":[5,15,90],"high-velocity":[6,70,158],"data":[7,128],"streams,":[8],"many":[9],"systems":[10],"cannot":[11],"run":[12],"those":[13],"all":[16],"elements":[17],"of":[18,53,60,94,100,138],"a":[19,23,37,48,67,76],"stream.":[20],"Sampling":[21],"is":[22],"widely":[24],"used":[25],"method":[26],"to":[27,129,156],"reduce":[28],"the":[29,34,54,58,91,101,107,142,150,154],"system":[30,145],"load":[31],"by":[32],"replacing":[33],"input":[35,55,102],"with":[36,111],"representative":[38],"yet":[39],"manageable":[40],"subset.":[41],"For":[42],"unbounded":[43],"data,":[44],"reservoir":[45,61,82],"sampling":[46,83,108],"generates":[47],"fixed-size":[49],"uniform":[50,123],"sample":[51],"independent":[52],"cardinality.":[56],"However,":[57],"collection":[59],"samples":[62,96,125],"itself":[63],"can":[64],"already":[65],"be":[66,130],"bottleneck":[68],"for":[69,84],"data.In":[71],"this":[72,139],"paper,":[73],"we":[74],"introduce":[75],"technique":[77],"that":[78],"allows":[79],"fully":[80],"parallelizing":[81],"many-core":[85],"architectures.":[86],"Our":[87,136],"approach":[88,140],"relies":[89],"efficient":[92,120],"combination":[93],"thread-local":[95],"taken":[97],"over":[98,132],"chunks":[99],"without":[103],"necessitating":[104],"communication":[105,113],"during":[106],"phase":[109],"and":[110,153],"minimal":[112],"when":[114],"merging.":[115],"We":[116],"show":[117],"how":[118],"our":[119],"merge":[121],"guarantees":[122],"random":[124],"while":[126],"allowing":[127],"distributed":[131],"worker":[133],"threads":[134,152],"arbitrarily.":[135],"analysis":[137],"within":[141],"Umbra":[143],"database":[144],"demonstrates":[146],"linear":[147],"scaling":[148],"along":[149],"available":[151],"ability":[155],"sustain":[157],"workloads.":[159]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
