{"id":"https://openalex.org/W3202912069","doi":"https://doi.org/10.1145/3472456.3473509","title":"ADA: An Application-Conscious Data Acquirer for Visual Molecular Dynamics","display_name":"ADA: An Application-Conscious Data Acquirer for Visual Molecular Dynamics","publication_year":2021,"publication_date":"2021-08-09","ids":{"openalex":"https://openalex.org/W3202912069","doi":"https://doi.org/10.1145/3472456.3473509","mag":"3202912069"},"language":"en","primary_location":{"id":"doi:10.1145/3472456.3473509","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3472456.3473509","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3472456.3473509","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"50th International Conference on Parallel Processing","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/10.1145/3472456.3473509","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069166335","display_name":"Hanpei Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hanpei Wu","raw_affiliation_strings":["SIST, ShanghaiTech University, China, China"],"affiliations":[{"raw_affiliation_string":"SIST, ShanghaiTech University, China, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054569084","display_name":"Tongliang Deng","orcid":"https://orcid.org/0000-0002-4125-4328"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongliang Deng","raw_affiliation_strings":["SenseTime Research, China, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research, China, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022750205","display_name":"Yanliang Zou","orcid":"https://orcid.org/0000-0003-2483-2605"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanliang Zou","raw_affiliation_strings":["SIST, ShanghaiTech University, China, China"],"affiliations":[{"raw_affiliation_string":"SIST, ShanghaiTech University, China, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047865361","display_name":"Shu Yin","orcid":"https://orcid.org/0000-0001-6500-1790"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Yin","raw_affiliation_strings":["SIST, ShanghaiTech University, China; State Key Lab of High Performance Computing, China","SIST, ShanghaiTech University, China"],"affiliations":[{"raw_affiliation_string":"SIST, ShanghaiTech University, China; State Key Lab of High Performance Computing, China","institution_ids":["https://openalex.org/I30809798"]},{"raw_affiliation_string":"SIST, ShanghaiTech University, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084990584","display_name":"Si Chen","orcid":"https://orcid.org/0000-0002-7117-4783"},"institutions":[{"id":"https://openalex.org/I161171246","display_name":"West Chester University","ror":"https://ror.org/0053n5071","country_code":"US","type":"education","lineage":["https://openalex.org/I161171246"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Si Chen","raw_affiliation_strings":["West Chester University, PA, USA, United States of America"],"affiliations":[{"raw_affiliation_string":"West Chester University, PA, USA, United States of America","institution_ids":["https://openalex.org/I161171246"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103174002","display_name":"Tao Xie","orcid":"https://orcid.org/0000-0002-0467-5422"},"institutions":[{"id":"https://openalex.org/I26538001","display_name":"San Diego State University","ror":"https://ror.org/0264fdx42","country_code":"US","type":"education","lineage":["https://openalex.org/I26538001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tao Xie","raw_affiliation_strings":["San Diego State University, CA, USA"],"affiliations":[{"raw_affiliation_string":"San Diego State University, CA, USA","institution_ids":["https://openalex.org/I26538001"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5069166335"],"corresponding_institution_ids":["https://openalex.org/I30809798"],"apc_list":null,"apc_paid":null,"fwci":0.16,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53478398,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9991999864578247,"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":0.9991999864578247,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9959999918937683,"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":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8560878038406372},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5227689743041992},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.4832397401332855},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4793423116207123},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.41024166345596313},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.34593576192855835},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.2714366912841797}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8560878038406372},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5227689743041992},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.4832397401332855},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4793423116207123},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.41024166345596313},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.34593576192855835},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2714366912841797},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3472456.3473509","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3472456.3473509","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3472456.3473509","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"50th International Conference on Parallel Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3472456.3473509","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3472456.3473509","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3472456.3473509","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"50th International Conference on Parallel Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G6267619324","display_name":null,"funder_award_id":"2015M","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7914467206","display_name":null,"funder_award_id":"2015M572708","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320327675","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3202912069.pdf","grobid_xml":"https://content.openalex.org/works/W3202912069.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1692208216","https://openalex.org/W1901936465","https://openalex.org/W1969989531","https://openalex.org/W1992755462","https://openalex.org/W2015762944","https://openalex.org/W2018768238","https://openalex.org/W2019183416","https://openalex.org/W2019465613","https://openalex.org/W2029667189","https://openalex.org/W2054121315","https://openalex.org/W2079105963","https://openalex.org/W2150981663","https://openalex.org/W2155521027","https://openalex.org/W2171268876","https://openalex.org/W2336695920","https://openalex.org/W2533852048","https://openalex.org/W2616258954","https://openalex.org/W2670256118","https://openalex.org/W2731763291","https://openalex.org/W2747566632","https://openalex.org/W2749286555","https://openalex.org/W2767402005","https://openalex.org/W2768422625","https://openalex.org/W2901011101","https://openalex.org/W2912894509","https://openalex.org/W2914097545","https://openalex.org/W3007690345"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W4255224757","https://openalex.org/W2499527417"],"abstract_inverted_index":{"Visual":[0],"molecular":[1,10],"dynamics":[2,11],"(VMD)":[3],"has":[4],"been":[5],"widely":[6],"used":[7],"by":[8,27,122,152,163,186],"numerous":[9],"(MD)":[12],"applications":[13],"to":[14,33,41,138,154,165,174],"animate":[15],"and":[16,110,156],"analyze":[17],"the":[18,42,45,79,129,170,179],"trajectory":[19],"of":[20,48,83],"an":[21,49,69,84,91,102,143],"MD":[22,50],"simulation.":[23,51],"One":[24],"challenge":[25],"faced":[26],"domain":[28],"scientists,":[29],"however,":[30],"is":[31,95],"how":[32],"filter":[34],"out":[35],"inactive":[36],"data":[37,39,59,71,80,148,161],"(i.e.,":[38],"irrelevant":[40],"subject)":[43],"from":[44],"enormous":[46],"output":[47],"To":[52],"solve":[53],"it,":[54],"we":[55,89,119],"propose":[56],"ADA":[57,92,121,168],"(application-conscious":[58],"acquirer),":[60],"a":[61,105,111,124,139],"light-weight":[62],"file":[63,141,145],"system":[64,142,146],"middleware":[65],"that":[66,136],"can":[67],"perform":[68],"application-conscious":[70],"pre-processing.":[72],"It":[73],"provides":[74],"host":[75],"CPUs":[76],"with":[77,114],"only":[78],"needed":[81],"instead":[82],"entire":[85],"raw":[86],"dataset.":[87],"Next,":[88],"implement":[90],"prototype,":[93],"which":[94],"then":[96],"integrated":[97],"into":[98],"three":[99,130],"computing":[100],"platforms:":[101],"SSD":[103],"server,":[104],"nine-node":[106],"OrangeFS":[107],"storage":[108],"cluster,":[109],"fat-node":[112],"server":[113,173],"1":[115],"TB":[116],"memory.":[117],"Further,":[118],"evaluate":[120],"running":[123],"computational":[125],"biology":[126],"application":[127],"on":[128],"platforms.":[131],"Our":[132],"experimental":[133],"results":[134],"show":[135],"compared":[137],"traditional":[140],"ADA-assisted":[144],"improves":[147],"processing":[149],"turnaround":[150],"time":[151],"up":[153,164],"13.4x":[155],"reduces":[157],"memory":[158,172],"usage":[159],"for":[160],"rendering":[162],"2.5x.":[166],"Besides,":[167],"allows":[169],"1TB":[171],"render":[175],"more":[176],"than":[177],"2x":[178],"VMD":[180],"graphs":[181],"while":[182],"cutting":[183],"energy":[184],"consumption":[185],"3x.":[187]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
