{"id":"https://openalex.org/W3124943311","doi":"https://doi.org/10.1145/3345000","title":"A Neural Network Prefetcher for Arbitrary Memory Access Patterns","display_name":"A Neural Network Prefetcher for Arbitrary Memory Access Patterns","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W3124943311","doi":"https://doi.org/10.1145/3345000","mag":"3124943311"},"language":"en","primary_location":{"id":"doi:10.1145/3345000","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3345000","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3345000","source":{"id":"https://openalex.org/S26056741","display_name":"ACM Transactions on Architecture and Code Optimization","issn_l":"1544-3566","issn":["1544-3566","1544-3973"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Architecture and Code Optimization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3345000","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082905390","display_name":"Leeor Peled","orcid":"https://orcid.org/0000-0003-4853-061X"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Leeor Peled","raw_affiliation_strings":["Technion-Israel Institute of Technology, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Technion-Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048636328","display_name":"Uri Weiser","orcid":"https://orcid.org/0009-0005-3800-8272"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Uri Weiser","raw_affiliation_strings":["Technion-Israel Institute of Technology, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Technion-Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014183046","display_name":"Yoav Etsion","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yoav Etsion","raw_affiliation_strings":["Technion-Israel Institute of Technology, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Technion-Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082905390"],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":3.9499,"has_fulltext":true,"cited_by_count":53,"citation_normalized_percentile":{"value":0.94431085,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"16","issue":"4","first_page":"1","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9995999932289124,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9980000257492065,"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":0.9035699367523193},{"id":"https://openalex.org/keywords/instruction-prefetch","display_name":"Instruction prefetch","score":0.8010443449020386},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.7968586683273315},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5205346345901489},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48773083090782166},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.473307728767395},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.41654258966445923},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.36087697744369507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34274083375930786},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3150165379047394},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.14642900228500366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9035699367523193},{"id":"https://openalex.org/C133588205","wikidata":"https://www.wikidata.org/wiki/Q28455645","display_name":"Instruction prefetch","level":3,"score":0.8010443449020386},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.7968586683273315},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5205346345901489},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48773083090782166},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.473307728767395},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.41654258966445923},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.36087697744369507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34274083375930786},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3150165379047394},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.14642900228500366},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3345000","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3345000","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3345000","source":{"id":"https://openalex.org/S26056741","display_name":"ACM Transactions on Architecture and Code Optimization","issn_l":"1544-3566","issn":["1544-3566","1544-3973"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Architecture and Code Optimization","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3345000","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3345000","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3345000","source":{"id":"https://openalex.org/S26056741","display_name":"ACM Transactions on Architecture and Code Optimization","issn_l":"1544-3566","issn":["1544-3566","1544-3973"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Architecture and Code Optimization","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2102866548","display_name":null,"funder_award_id":"979/17","funder_id":"https://openalex.org/F4320322252","funder_display_name":"Israel Science Foundation"},{"id":"https://openalex.org/G7315415636","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320322252","funder_display_name":"Israel Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320322252","display_name":"Israel Science Foundation","ror":"https://ror.org/04sazxf24"},{"id":"https://openalex.org/F4320326823","display_name":"Intel Collaboration Research Institute for Computational Intelligence","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3124943311.pdf","grobid_xml":"https://content.openalex.org/works/W3124943311.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W1488360515","https://openalex.org/W1548328233","https://openalex.org/W1576026045","https://openalex.org/W1576278180","https://openalex.org/W1665214252","https://openalex.org/W1689711448","https://openalex.org/W1963687124","https://openalex.org/W1985210871","https://openalex.org/W1989831790","https://openalex.org/W1999085092","https://openalex.org/W2000420612","https://openalex.org/W2001420671","https://openalex.org/W2018689653","https://openalex.org/W2030812654","https://openalex.org/W2051407019","https://openalex.org/W2064675550","https://openalex.org/W2072160811","https://openalex.org/W2099977515","https://openalex.org/W2138630447","https://openalex.org/W2147657366","https://openalex.org/W2153185479","https://openalex.org/W2153515302","https://openalex.org/W2155893237","https://openalex.org/W2156484396","https://openalex.org/W2158630919","https://openalex.org/W2162773908","https://openalex.org/W2165113127","https://openalex.org/W2165836188","https://openalex.org/W2168923722","https://openalex.org/W2171006257","https://openalex.org/W2187230075","https://openalex.org/W2234355962","https://openalex.org/W2234679013","https://openalex.org/W2266701264","https://openalex.org/W2267635276","https://openalex.org/W2294584261","https://openalex.org/W2319920447","https://openalex.org/W2329976284","https://openalex.org/W2518281301","https://openalex.org/W2522548197","https://openalex.org/W2524428287","https://openalex.org/W2530887700","https://openalex.org/W2537450429","https://openalex.org/W2560674852","https://openalex.org/W2561209771","https://openalex.org/W2566461774","https://openalex.org/W2604700561","https://openalex.org/W2606722458","https://openalex.org/W2751299223","https://openalex.org/W2751699127","https://openalex.org/W2792738181","https://openalex.org/W2795232275","https://openalex.org/W2914484425","https://openalex.org/W2950094539","https://openalex.org/W2950527759","https://openalex.org/W2950894517","https://openalex.org/W2950898700","https://openalex.org/W2951978180","https://openalex.org/W2953212265","https://openalex.org/W2963526839","https://openalex.org/W3147011727","https://openalex.org/W4212774754","https://openalex.org/W4232958218","https://openalex.org/W4232973962","https://openalex.org/W4244512923","https://openalex.org/W4254356266","https://openalex.org/W6600125713"],"related_works":["https://openalex.org/W2140324148","https://openalex.org/W2121199344","https://openalex.org/W2285914869","https://openalex.org/W3117515082","https://openalex.org/W2113441357","https://openalex.org/W3022537591","https://openalex.org/W2126134823","https://openalex.org/W2336226224","https://openalex.org/W1974128693","https://openalex.org/W126407280"],"abstract_inverted_index":{"Memory":[0],"prefetchers":[1,35],"are":[2,49],"designed":[3,45],"to":[4,46,51,75,102,107,132,192,196],"identify":[5,103],"and":[6,24,41,48,92,104,130,158,161,174,177,194,207],"prefetch":[7],"specific":[8,25],"access":[9,53,78,109,136,142],"patterns,":[10,99,137],"including":[11],"spatiotemporal":[12],"locality":[13,118],"(e.g.,":[14,19,28],"strides,":[15,21],"streams),":[16],"recurring":[17],"patterns":[18,27,40,54,110],"varying":[20],"temporal":[22],"correlation),":[23],"irregular":[26],"pointer":[29],"chasing,":[30],"index":[31],"dereferencing).":[32],"However,":[33],"existing":[34],"can":[36,124,182],"only":[37],"target":[38],"premeditated":[39],"relations":[42],"they":[43,57],"were":[44],"handle":[47],"unable":[50],"capture":[52],"in":[55,83,119],"which":[56],"do":[58],"not":[59],"specialize.":[60],"In":[61],"this":[62,120],"article,":[63],"we":[64],"propose":[65,162],"a":[66,201,212],"context-based":[67],"neural":[68,168],"network":[69,169],"(NN)":[70],"prefetcher":[71,89,123,170,181,206],"that":[72,179],"dynamically":[73,105],"adapts":[74],"arbitrary":[76],"memory":[77,97,141],"patterns.":[79],"Leveraging":[80],"recent":[81],"advances":[82],"machine":[84,93],"learning,":[85],"the":[86,113,122,126,167,180],"proposed":[87],"NN":[88,152],"correlates":[90],"program":[91],"contextual":[94],"information":[95],"with":[96,214],"accesses":[98],"using":[100],"online-training":[101],"adapt":[106],"unique":[108],"exhibited":[111],"by":[112],"code.":[114],"By":[115],"targeting":[116],"semantic":[117],"manner,":[121],"discern":[125],"useful":[127],"context":[128],"attributes":[129],"learn":[131],"predict":[133],"previously":[134],"undetected":[135],"even":[138],"within":[139],"noisy":[140],"streams.":[143],"We":[144,165],"further":[145],"present":[146],"an":[147,184],"architectural":[148],"implementation":[149],"of":[150,187,203],"our":[151],"prefetcher,":[153],"explore":[154],"its":[155],"power,":[156],"energy,":[157],"area":[159],"limitations,":[160],"several":[163,175],"optimizations.":[164],"evaluate":[166],"over":[171,200,211],"SPEC2006,":[172],"Graph500,":[173],"microbenchmarks":[176],"show":[178],"deliver":[183],"average":[185],"speedup":[186],"21.3%":[188],"for":[189,209],"SPEC2006":[190,210],"(up":[191],"2.3\u00d7)":[193],"up":[195],"4.4\u00d7":[197],"on":[198],"kernels":[199],"baseline":[202,213],"PC-based":[204],"stride":[205],"30%":[208],"no":[215],"prefetching.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2021-02-01T00:00:00"}