{"id":"https://openalex.org/W4388581054","doi":"https://doi.org/10.1145/3624062.3624593","title":"Throughput Optimization with a NUMA-Aware Runtime System for Efficient Scientific Data Streaming","display_name":"Throughput Optimization with a NUMA-Aware Runtime System for Efficient Scientific Data Streaming","publication_year":2023,"publication_date":"2023-11-10","ids":{"openalex":"https://openalex.org/W4388581054","doi":"https://doi.org/10.1145/3624062.3624593"},"language":"en","primary_location":{"id":"doi:10.1145/3624062.3624593","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3624062.3624593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SC '23 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis","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/A5032197140","display_name":"Hasibul Jamil","orcid":"https://orcid.org/0000-0001-7631-1487"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hasibul Jamil","raw_affiliation_strings":["University at Buffalo SUNY, United States of America and Argonne National Laboratory (ANL), United States of America"],"affiliations":[{"raw_affiliation_string":"University at Buffalo SUNY, United States of America and Argonne National Laboratory (ANL), United States of America","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002131093","display_name":"Joaqu\u00edn Chung","orcid":"https://orcid.org/0000-0001-7383-3810"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joaquin Chung","raw_affiliation_strings":["Argonne National Laboratory, United States of America"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory, United States of America","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038566298","display_name":"Tekin Bi\u00e7er","orcid":"https://orcid.org/0000-0002-8428-5159"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tekin Bicer","raw_affiliation_strings":["Argonne National Laboratory, United States of America"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory, United States of America","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069324928","display_name":"Tevfik Kosar","orcid":"https://orcid.org/0000-0002-5600-6706"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tevfik Kosar","raw_affiliation_strings":["University at Buffalo (SUNY), United States of America"],"affiliations":[{"raw_affiliation_string":"University at Buffalo (SUNY), United States of America","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068373159","display_name":"Rajkumar Kettimuthu","orcid":"https://orcid.org/0000-0002-0046-9883"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rajkumar Kettimuthu","raw_affiliation_strings":["Argonne National Laboratory, United States of America"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory, United States of America","institution_ids":["https://openalex.org/I1282105669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032197140"],"corresponding_institution_ids":["https://openalex.org/I1282105669"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17672863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"795","last_page":"805"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9986000061035156,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9986000061035156,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9968000054359436,"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":0.8193433284759521},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.7668865919113159},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.4929366111755371},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3989803194999695},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.398785263299942},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2661309242248535}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8193433284759521},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.7668865919113159},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.4929366111755371},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3989803194999695},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.398785263299942},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2661309242248535},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3624062.3624593","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3624062.3624593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SC '23 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2030812654","https://openalex.org/W2034209740","https://openalex.org/W2068993993","https://openalex.org/W2097426049","https://openalex.org/W2099035968","https://openalex.org/W2111122809","https://openalex.org/W2153972927","https://openalex.org/W2212175592","https://openalex.org/W2244876453","https://openalex.org/W2282396894","https://openalex.org/W2478129718","https://openalex.org/W2578785406","https://openalex.org/W2614919281","https://openalex.org/W2770727794","https://openalex.org/W2776499284","https://openalex.org/W2782748285","https://openalex.org/W2783414023","https://openalex.org/W2805039114","https://openalex.org/W2898137509","https://openalex.org/W2915501980","https://openalex.org/W2916596859","https://openalex.org/W2985814104","https://openalex.org/W2996822528","https://openalex.org/W3134033551","https://openalex.org/W3167890826","https://openalex.org/W3172225290","https://openalex.org/W3192241394","https://openalex.org/W4205466269","https://openalex.org/W4236755491","https://openalex.org/W4288310158","https://openalex.org/W4308995130"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2384129116"],"abstract_inverted_index":{"With":[0],"the":[1,81,111],"surge":[2],"in":[3,116],"data":[4,25,66,92,101],"generation":[5],"rates":[6],"from":[7],"advanced":[8],"scientific":[9],"instruments,":[10],"there":[11],"is":[12],"an":[13],"urgent":[14],"need":[15],"for":[16,24,63,91],"effective":[17],"network":[18,77,100],"management":[19],"and":[20,72,75,95,125],"resource":[21,36],"utilization":[22],"strategies":[23,28],"streaming.":[26],"Present":[27],"often":[29],"lag":[30],"behind":[31],"hardware":[32,84],"advancements,":[33],"leading":[34],"to":[35,98,122],"underutilization.":[37],"Modern":[38],"servers":[39],"typically":[40],"employ":[41],"non-uniform":[42],"memory":[43],"access":[44],"(NUMA)":[45],"multiprocessors,":[46],"which,":[47],"despite":[48],"their":[49],"benefits,":[50],"can":[51],"pose":[52],"performance":[53],"challenges.":[54],"This":[55],"paper":[56],"presents":[57],"a":[58,117,126],"novel":[59],"runtime":[60],"system":[61,87],"tailored":[62],"efficient":[64],"multi-stream":[65],"management,":[67],"optimizing":[68],"both":[69],"its":[70],"compression":[71],"decompression":[73],"phases,":[74],"enhancing":[76],"I/O":[78],"based":[79],"on":[80],"server\u2019s":[82],"unique":[83],"design.":[85],"Our":[86],"coordinates":[88],"parallel":[89],"tasks":[90,109],"compression,":[93],"decompression,":[94],"transfer,":[96],"aiming":[97],"reduce":[99],"influx.":[102],"Empirical":[103],"tests":[104],"show":[105],"that":[106],"aligning":[107],"streaming":[108],"with":[110],"right":[112],"NUMA":[113],"domain":[114],"results":[115],"1.48X":[118],"throughput":[119],"boost":[120],"compared":[121],"cutting-edge":[123],"methods":[124],"2.6X":[127],"improvement":[128],"over":[129],"standard":[130],"techniques.":[131]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
