{"id":"https://openalex.org/W4318256782","doi":"https://doi.org/10.1145/3559009.3569661","title":"GPU Adaptive In-situ Parallel Analytics (GAP)","display_name":"GPU Adaptive In-situ Parallel Analytics (GAP)","publication_year":2022,"publication_date":"2022-10-08","ids":{"openalex":"https://openalex.org/W4318256782","doi":"https://doi.org/10.1145/3559009.3569661"},"language":"en","primary_location":{"id":"doi:10.1145/3559009.3569661","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3559009.3569661","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3559009.3569661","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Parallel Architectures and Compilation Techniques","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3559009.3569661","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035856767","display_name":"Haoyuan Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Haoyuan Xing","raw_affiliation_strings":["The Ohio State University"],"affiliations":[{"raw_affiliation_string":"The Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025342178","display_name":"Gagan Agrawal","orcid":"https://orcid.org/0000-0002-2923-5327"},"institutions":[{"id":"https://openalex.org/I4210087454","display_name":"Augusta University Health","ror":"https://ror.org/007rawr89","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gagan Agrawal","raw_affiliation_strings":["Augusta University"],"affiliations":[{"raw_affiliation_string":"Augusta University","institution_ids":["https://openalex.org/I4210087454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073535794","display_name":"Rajiv Ramnath","orcid":"https://orcid.org/0000-0003-0093-8560"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rajiv Ramnath","raw_affiliation_strings":["The Ohio State University"],"affiliations":[{"raw_affiliation_string":"The Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035856767"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":0.1381,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50718695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"467","last_page":"480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9987999796867371,"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":[{"id":"https://openalex.org/keywords/bitmap","display_name":"Bitmap","score":0.8570313453674316},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8552305698394775},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7135547995567322},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6309531927108765},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5781009197235107},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.45464619994163513},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.4447270333766937},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.43161740899086},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.4213936924934387},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.42043551802635193},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.42019596695899963},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41109609603881836},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38688063621520996},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.380035400390625},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3258068561553955},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.32437920570373535},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2876460552215576},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.23455727100372314},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.1986364722251892},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.1806815266609192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.179928719997406}],"concepts":[{"id":"https://openalex.org/C3115412","wikidata":"https://www.wikidata.org/wiki/Q1194708","display_name":"Bitmap","level":2,"score":0.8570313453674316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8552305698394775},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7135547995567322},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6309531927108765},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5781009197235107},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.45464619994163513},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.4447270333766937},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.43161740899086},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.4213936924934387},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.42043551802635193},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.42019596695899963},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41109609603881836},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38688063621520996},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.380035400390625},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3258068561553955},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.32437920570373535},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2876460552215576},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.23455727100372314},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.1986364722251892},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.1806815266609192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.179928719997406},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3559009.3569661","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3559009.3569661","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3559009.3569661","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Parallel Architectures and Compilation Techniques","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3559009.3569661","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3559009.3569661","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3559009.3569661","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Parallel Architectures and Compilation Techniques","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5435416646","display_name":null,"funder_award_id":"2232813, 2146852, 2131509, 2034850, and 2007793","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4318256782.pdf","grobid_xml":"https://content.openalex.org/works/W4318256782.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W27773700","https://openalex.org/W126684907","https://openalex.org/W1027454279","https://openalex.org/W1501548698","https://openalex.org/W1527137792","https://openalex.org/W1592610781","https://openalex.org/W1830530917","https://openalex.org/W1961332808","https://openalex.org/W1966678916","https://openalex.org/W1972928435","https://openalex.org/W1986340747","https://openalex.org/W1998556518","https://openalex.org/W1999354630","https://openalex.org/W2009523450","https://openalex.org/W2028811868","https://openalex.org/W2036231283","https://openalex.org/W2046973196","https://openalex.org/W2047567845","https://openalex.org/W2068418796","https://openalex.org/W2091309699","https://openalex.org/W2107745473","https://openalex.org/W2110455446","https://openalex.org/W2110975861","https://openalex.org/W2117764469","https://openalex.org/W2119547137","https://openalex.org/W2131361270","https://openalex.org/W2139635799","https://openalex.org/W2140980002","https://openalex.org/W2141981986","https://openalex.org/W2145195191","https://openalex.org/W2154462487","https://openalex.org/W2159287299","https://openalex.org/W2160447623","https://openalex.org/W2161692763","https://openalex.org/W2171669671","https://openalex.org/W2282408283","https://openalex.org/W2319417880","https://openalex.org/W2346404725","https://openalex.org/W2477076408","https://openalex.org/W2496792560","https://openalex.org/W2547543723","https://openalex.org/W2594098541","https://openalex.org/W2604606554","https://openalex.org/W2613215397","https://openalex.org/W2754777568","https://openalex.org/W2766863330","https://openalex.org/W2807434924","https://openalex.org/W2902041647","https://openalex.org/W2912601938","https://openalex.org/W2913438949","https://openalex.org/W2942065809","https://openalex.org/W2964613948","https://openalex.org/W2966710301","https://openalex.org/W2975795503","https://openalex.org/W3010662083","https://openalex.org/W3041193038","https://openalex.org/W3043494828","https://openalex.org/W3106011734","https://openalex.org/W3131455421","https://openalex.org/W3175180181","https://openalex.org/W4288586745","https://openalex.org/W6607556330","https://openalex.org/W6626681763","https://openalex.org/W6644357494","https://openalex.org/W6646312873","https://openalex.org/W6657788412","https://openalex.org/W6662793387","https://openalex.org/W6676833634","https://openalex.org/W6678107477","https://openalex.org/W6722043901","https://openalex.org/W6756676539","https://openalex.org/W6774759637","https://openalex.org/W6989976229"],"related_works":["https://openalex.org/W2151046618","https://openalex.org/W1972148443","https://openalex.org/W1969233021","https://openalex.org/W2167646277","https://openalex.org/W2063573318","https://openalex.org/W2388314963","https://openalex.org/W3158047141","https://openalex.org/W1656096860","https://openalex.org/W2027443981","https://openalex.org/W2360624069"],"abstract_inverted_index":{"Despite":[0],"the":[1,39,78,118,125,134,167,172],"popularity":[2],"of":[3,99,144],"in-situ":[4,17,32,146],"analytics":[5,18,156],"in":[6],"scientific":[7],"computing,":[8],"there":[9],"is":[10],"only":[11],"limited":[12],"work":[13],"to":[14,116],"date":[15],"on":[16,22,34,137,157],"for":[19,46,77,89,96,178],"simulations":[20,150],"running":[21],"GPUs.":[23],"Notably,":[24],"two":[25],"unaddressed":[26],"challenges":[27],"are":[28],"1)":[29],"performing":[30],"memory-efficient":[31],"analysis":[33],"accelerators":[35],"and":[36,42,50,69,93,124,148,166,175],"2)automatically":[37],"choosing":[38],"processing":[40,98],"resources":[41],"suitable":[43],"data":[44,74,105,126,176],"representation":[45,127,177],"a":[47,72,84,87,111,138],"given":[48,139],"query":[49],"platform.":[51],"This":[52],"paper":[53,109],"addresses":[54],"both":[55],"problems.":[56],"First,":[57],"GAP":[58,168],"makes":[59],"several":[60],"new":[61],"contributions":[62],"toward":[63],"making":[64],"bitmap":[65],"indices":[66],"suitable,":[67],"effective,":[68],"efficient":[70],"as":[71],"compressed":[73],"summary":[75],"structure":[76],"GPUs":[79],"-":[80],"this":[81,108],"includes":[82],"introducing":[83],"layout":[85],"structure,":[86],"method":[88],"generating":[90],"multi-attribute":[91],"bitmaps,":[92],"novel":[94],"techniques":[95],"bitmap-based":[97],"major":[100],"operators":[101],"that":[102,132,152],"comprise":[103],"complex":[104,145],"analytics.":[106],"Second,":[107],"presents":[110],"performance":[112,136,169],"modeling":[113],"methodology,":[114],"aiming":[115],"predict":[117],"placement":[119,174],"(i.e.,":[120],"CPU":[121],"or":[122,130],"GPU)":[123],"choice":[128],"(summarization":[129],"original)":[131],"yield":[133],"best":[135],"configuration.":[140],"Our":[141],"extensive":[142],"evaluation":[143],"queries":[147],"real-world":[149],"shows":[151],"with":[153],"our":[154],"methods,":[155],"GPU":[158],"using":[159],"bitmaps":[160],"almost":[161],"always":[162],"outperforms":[163],"other":[164],"options,":[165],"model":[170],"predicts":[171],"optimal":[173],"most":[179],"scenarios.":[180]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}