{"id":"https://openalex.org/W2811456133","doi":"https://doi.org/10.1145/3191697.3213803","title":"Managing hybrid memories by predicting object write intensity","display_name":"Managing hybrid memories by predicting object write intensity","publication_year":2018,"publication_date":"2018-04-09","ids":{"openalex":"https://openalex.org/W2811456133","doi":"https://doi.org/10.1145/3191697.3213803","mag":"2811456133"},"language":"en","primary_location":{"id":"doi:10.1145/3191697.3213803","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3191697.3213803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Conference Companion of the 2nd International Conference on Art, Science, and Engineering of Programming","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/A5019108357","display_name":"Shoaib Akram","orcid":"https://orcid.org/0000-0003-2388-0517"},"institutions":[{"id":"https://openalex.org/I2801227569","display_name":"Ghent University Hospital","ror":"https://ror.org/00xmkp704","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I2801227569"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Shoaib Akram","raw_affiliation_strings":["Ghent University, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University, Belgium","institution_ids":["https://openalex.org/I2801227569"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087054368","display_name":"Kathryn S. McKinley","orcid":"https://orcid.org/0000-0002-7188-2501"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kathryn S. McKinley","raw_affiliation_strings":["Google, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032224428","display_name":"Jennifer B. Sartor","orcid":null},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Jennifer B. Sartor","raw_affiliation_strings":["Vrije Universiteit Brussel, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033119975","display_name":"Lieven Eeckhout","orcid":"https://orcid.org/0000-0001-8792-4473"},"institutions":[{"id":"https://openalex.org/I2801227569","display_name":"Ghent University Hospital","ror":"https://ror.org/00xmkp704","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I2801227569"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Lieven Eeckhout","raw_affiliation_strings":["Ghent University, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University, Belgium","institution_ids":["https://openalex.org/I2801227569"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5929,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71428153,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"28","issue":null,"first_page":"75","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994999766349792,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6214715838432312},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5797826647758484},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.5776286721229553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21800905466079712},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10264670848846436},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.060762763023376465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6214715838432312},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5797826647758484},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.5776286721229553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21800905466079712},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10264670848846436},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.060762763023376465}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3191697.3213803","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3191697.3213803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Conference Companion of the 2nd International Conference on Art, Science, and Engineering of Programming","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:8570512","is_oa":false,"landing_page_url":"http://hdl.handle.net/1854/LU-8570512","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9781450355131","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:1434","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/managing-hybrid-memories-by-predicting-object-write-intensity(10f99628-4b0c-4e00-b399-7f1c1f611a7d).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1496414880","https://openalex.org/W2024713391","https://openalex.org/W2041876859","https://openalex.org/W2048588974","https://openalex.org/W2060525997","https://openalex.org/W2078973953","https://openalex.org/W2085325584","https://openalex.org/W2102449048","https://openalex.org/W2104305170","https://openalex.org/W2107917004","https://openalex.org/W2112832394","https://openalex.org/W2114139104","https://openalex.org/W2139165932","https://openalex.org/W2144133653","https://openalex.org/W2146766856","https://openalex.org/W2149775554","https://openalex.org/W2152814480","https://openalex.org/W2157808045","https://openalex.org/W2158364508","https://openalex.org/W2161047342","https://openalex.org/W2166091242","https://openalex.org/W2292369231","https://openalex.org/W2524130066","https://openalex.org/W3099470245","https://openalex.org/W4231060654","https://openalex.org/W4250784990"],"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/W2382290278"],"abstract_inverted_index":{"Emerging":[0],"Non-Volatile":[1],"Memory":[2],"(NVM)":[3],"technologies":[4],"offer":[5],"more":[6],"capacity":[7,65],"and":[8,19,34,40,81,86,105,141,158,203,257,275],"energy":[9],"efficiency":[10],"than":[11],"DRAM,":[12],"but":[13],"their":[14],"write":[15],"endurance":[16],"is":[17,21,75,229],"lower":[18],"latency":[20],"higher.":[22],"Hybrid":[23],"memories":[24,124],"seek":[25],"the":[26,61,116,183],"best":[27],"of":[28,63,126,185,211,220,244,260],"both":[29],"worlds":[30],"\u2014":[31,36],"scalability,":[32],"efficiency,":[33],"performance":[35],"by":[37,190],"combining":[38],"DRAM":[39,56,85,151,274],"NVM.":[41,92,248,264],"Our":[42,119],"work":[43],"proposes":[44],"modifying":[45],"a":[46,137,143,230],"standard":[47],"managed":[48],"language":[49],"runtime":[50],"to":[51,59,72,187,198,201,209,222,225,238,247,255,268],"allocate":[52,242],"objects":[53,80,90,149,164,188,213,223,246,262,271],"either":[54],"in":[55,84,91,150,165,214,263,272],"or":[57,152,177],"NVM":[58,64,153,199,236,276],"maximize":[60],"use":[62],"without":[66],"wearing":[67],"it":[68,194,205,234,240],"out.":[69],"The":[70],"key":[71],"our":[73],"approach":[74],"correctly":[76],"predicting":[77],"highly":[78,161],"mutated":[79,89,162],"allocating":[82,87],"them":[83],"rarely":[88,178],"We":[93,109,167],"explore":[94,168],"write-intensity":[95,266],"prediction":[96],"based":[97,154],"on":[98,136,155],"object":[99,226],"(1)":[100,127],"size,":[101],"(2)":[102,142],"class":[103],"type,":[104],"(3)":[106],"allocation":[107,113],"site.":[108,192],"find":[110],"predictions":[111],"using":[112],"site":[114],"are":[115],"most":[117],"accurate.":[118],"memory":[120,277],"manager":[121],"for":[122,171],"hybrid":[123,273],"consists":[125],"an":[128],"offline":[129],"profiling":[130],"phase":[131],"that":[132,146,159],"produces":[133],"placement":[134],"advice":[135,157],"per":[138],"allocation-site":[139],"basis,":[140],"garbage":[144],"collector":[145],"allocates":[147,160,206],"mature":[148,212,245,261],"this":[156],"nursery":[163],"DRAM.":[166,215],"two":[169],"heuristics":[170],"classifying":[172],"sites":[173],"as":[174],"write-intensive":[175],"(DRAM)":[176],"written":[179],"(NVM).Write-Frequency":[180],"(FREQ)":[181],"uses":[182],"number":[184,219],"writes":[186,197,221,237,254],"allocated":[189],"each":[191],"Although":[193],"can":[195,241],"limit":[196],"up":[200],"1%":[202],"3%,":[204],"just":[207],"50%":[208],"20%":[210],"Write-Density":[216,228],"(DENS)":[217],"computes":[218],"relative":[224],"size.":[227],"better":[231],"predictor.":[232],"When":[233],"limits":[235],"2%,":[239],"88%":[243],"Pareto":[249],"optimal":[250],"configurations":[251],"may":[252],"increase":[253],"10%":[256],"store":[258],"99%":[259],"Using":[265],"predictors":[267],"proactively":[269],"place":[270],"systems":[278],"prolongs":[279],"NVM\u2019s":[280],"lifetime":[281],"while":[282],"exploiting":[283],"its":[284],"capacity.":[285]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}