{"id":"https://openalex.org/W4387869276","doi":"https://doi.org/10.1145/3630012","title":"NeuroCool: Dynamic Thermal Management of 3D DRAM for Deep Neural Networks through Customized Prefetching","display_name":"NeuroCool: Dynamic Thermal Management of 3D DRAM for Deep Neural Networks through Customized Prefetching","publication_year":2023,"publication_date":"2023-10-23","ids":{"openalex":"https://openalex.org/W4387869276","doi":"https://doi.org/10.1145/3630012"},"language":"en","primary_location":{"id":"doi:10.1145/3630012","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3630012","pdf_url":null,"source":{"id":"https://openalex.org/S105046310","display_name":"ACM Transactions on Design Automation of Electronic Systems","issn_l":"1084-4309","issn":["1084-4309","1557-7309"],"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 Design Automation of Electronic Systems","raw_type":"journal-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/A5049432173","display_name":"Shailja Pandey","orcid":"https://orcid.org/0000-0003-3013-5128"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shailja Pandey","raw_affiliation_strings":["Department of CSE, Indian Institute of Technology Delhi, India"],"raw_orcid":"https://orcid.org/0000-0003-3013-5128","affiliations":[{"raw_affiliation_string":"Department of CSE, Indian Institute of Technology Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028956454","display_name":"Lokesh Siddhu","orcid":"https://orcid.org/0000-0002-5312-8679"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Lokesh Siddhu","raw_affiliation_strings":["Department of CSE, Indian Institute of Technology Delhi, India"],"raw_orcid":"https://orcid.org/0000-0002-5312-8679","affiliations":[{"raw_affiliation_string":"Department of CSE, Indian Institute of Technology Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027215692","display_name":"Preeti Ranjan Panda","orcid":"https://orcid.org/0000-0002-2508-7531"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Preeti Ranjan Panda","raw_affiliation_strings":["Department of CSE, Indian Institute of Technology Delhi, India"],"raw_orcid":"https://orcid.org/0000-0002-2508-7531","affiliations":[{"raw_affiliation_string":"Department of CSE, Indian Institute of Technology Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049432173"],"corresponding_institution_ids":["https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":1.1498,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7845404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"29","issue":"1","first_page":"1","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/dram","display_name":"Dram","score":0.8930987119674683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8790560364723206},{"id":"https://openalex.org/keywords/instruction-prefetch","display_name":"Instruction prefetch","score":0.6620833277702332},{"id":"https://openalex.org/keywords/cas-latency","display_name":"CAS latency","score":0.570294201374054},{"id":"https://openalex.org/keywords/memory-bandwidth","display_name":"Memory bandwidth","score":0.4775719940662384},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4775198996067047},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4618801772594452},{"id":"https://openalex.org/keywords/dynamic-random-access-memory","display_name":"Dynamic random-access memory","score":0.4602990746498108},{"id":"https://openalex.org/keywords/memory-controller","display_name":"Memory controller","score":0.4455415606498718},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.43095123767852783},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4302782714366913},{"id":"https://openalex.org/keywords/power-management","display_name":"Power management","score":0.42331230640411377},{"id":"https://openalex.org/keywords/performance-improvement","display_name":"Performance improvement","score":0.414113312959671},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3702205419540405},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.2878059148788452},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.24163633584976196},{"id":"https://openalex.org/keywords/semiconductor-memory","display_name":"Semiconductor memory","score":0.168436199426651},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1563974916934967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11049649119377136}],"concepts":[{"id":"https://openalex.org/C7366592","wikidata":"https://www.wikidata.org/wiki/Q1255620","display_name":"Dram","level":2,"score":0.8930987119674683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8790560364723206},{"id":"https://openalex.org/C133588205","wikidata":"https://www.wikidata.org/wiki/Q28455645","display_name":"Instruction prefetch","level":3,"score":0.6620833277702332},{"id":"https://openalex.org/C189930140","wikidata":"https://www.wikidata.org/wiki/Q1112878","display_name":"CAS latency","level":4,"score":0.570294201374054},{"id":"https://openalex.org/C188045654","wikidata":"https://www.wikidata.org/wiki/Q17148339","display_name":"Memory bandwidth","level":2,"score":0.4775719940662384},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4775198996067047},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4618801772594452},{"id":"https://openalex.org/C118702147","wikidata":"https://www.wikidata.org/wiki/Q189396","display_name":"Dynamic random-access memory","level":3,"score":0.4602990746498108},{"id":"https://openalex.org/C100800780","wikidata":"https://www.wikidata.org/wiki/Q1175867","display_name":"Memory controller","level":3,"score":0.4455415606498718},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.43095123767852783},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4302782714366913},{"id":"https://openalex.org/C2778774385","wikidata":"https://www.wikidata.org/wiki/Q4437810","display_name":"Power management","level":3,"score":0.42331230640411377},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.414113312959671},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3702205419540405},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2878059148788452},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.24163633584976196},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.168436199426651},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1563974916934967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11049649119377136},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3630012","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3630012","pdf_url":null,"source":{"id":"https://openalex.org/S105046310","display_name":"ACM Transactions on Design Automation of Electronic Systems","issn_l":"1084-4309","issn":["1084-4309","1557-7309"],"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 Design Automation of Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"},{"id":"https://openalex.org/F4320324473","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1947481528","https://openalex.org/W1981220134","https://openalex.org/W1987971958","https://openalex.org/W1994852423","https://openalex.org/W2036162037","https://openalex.org/W2046813310","https://openalex.org/W2048031802","https://openalex.org/W2063718160","https://openalex.org/W2086583648","https://openalex.org/W2092608522","https://openalex.org/W2094756095","https://openalex.org/W2103330947","https://openalex.org/W2113790294","https://openalex.org/W2119092821","https://openalex.org/W2119435553","https://openalex.org/W2121053082","https://openalex.org/W2122636510","https://openalex.org/W2126339718","https://openalex.org/W2142082169","https://openalex.org/W2154001575","https://openalex.org/W2166879008","https://openalex.org/W2289252105","https://openalex.org/W2520782513","https://openalex.org/W2531302887","https://openalex.org/W2618530766","https://openalex.org/W2622148586","https://openalex.org/W2751343396","https://openalex.org/W2769502706","https://openalex.org/W2773756801","https://openalex.org/W2784372305","https://openalex.org/W2794670651","https://openalex.org/W2798317693","https://openalex.org/W2801000640","https://openalex.org/W2808738767","https://openalex.org/W2816746026","https://openalex.org/W2883987240","https://openalex.org/W2884361556","https://openalex.org/W2888269620","https://openalex.org/W2896457183","https://openalex.org/W2901839763","https://openalex.org/W2907785891","https://openalex.org/W2931743911","https://openalex.org/W2944058264","https://openalex.org/W2945578342","https://openalex.org/W2945627082","https://openalex.org/W2951810231","https://openalex.org/W2963350576","https://openalex.org/W2963855133","https://openalex.org/W2972054856","https://openalex.org/W2979616436","https://openalex.org/W2980098788","https://openalex.org/W2983617330","https://openalex.org/W3004383742","https://openalex.org/W3013187846","https://openalex.org/W3030637086","https://openalex.org/W3036221207","https://openalex.org/W3043167609","https://openalex.org/W3092601938","https://openalex.org/W3093483245","https://openalex.org/W3100768276","https://openalex.org/W3119921680","https://openalex.org/W3146763006","https://openalex.org/W3203303453","https://openalex.org/W3203766485","https://openalex.org/W3205610680","https://openalex.org/W3212454608","https://openalex.org/W3214267057","https://openalex.org/W4214760333","https://openalex.org/W4220941542","https://openalex.org/W4237246439","https://openalex.org/W4289276774","https://openalex.org/W4292169167","https://openalex.org/W4311457721","https://openalex.org/W4322718253","https://openalex.org/W4385245566","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2547220881","https://openalex.org/W1603816627","https://openalex.org/W2532617734","https://openalex.org/W2082939521","https://openalex.org/W2056138949","https://openalex.org/W1981501429","https://openalex.org/W2170496111","https://openalex.org/W2132401245","https://openalex.org/W3008068282","https://openalex.org/W1480691199"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"network":[2],"(DNN)":[3],"implementations":[4],"are":[5],"typically":[6],"characterized":[7],"by":[8],"huge":[9],"datasets":[10,178],"and":[11,29,45,53,122,137,164,176,208],"concurrent":[12],"computation,":[13],"resulting":[14,99],"in":[15,50,89,100,155,197],"a":[16,71,118,124,127,198],"demand":[17],"for":[18,126],"high":[19,86,205,215],"memory":[20,128,209],"bandwidth":[21,78],"due":[22,84,103],"to":[23,41,58,74,85,104,133],"intensive":[24],"data":[25,181],"movement":[26],"between":[27],"processors":[28],"off-chip":[30],"memory.":[31],"Performing":[32],"DNN":[33,114,161,186],"inference":[34,66],"on":[35,117,190],"general-purpose":[36,219],"cores/edge":[37],"is":[38,70],"gaining":[39],"attraction":[40],"enhance":[42],"user":[43],"experience":[44],"reduce":[46,134],"latency.":[47],"The":[48],"mismatch":[49],"the":[51,61,77,110,160,169],"CPU":[52,106],"conventional":[54],"DRAM":[55,69,120,151],"speed":[56],"leads":[57],"under-utilization":[59],"of":[60,80,113,171,202,212],"compute":[62],"capabilities,":[63],"causing":[64],"increased":[65],"time.":[67],"3D":[68,92,119],"promising":[72],"solution":[73],"effectively":[75],"fulfill":[76],"requirement":[79],"high-throughput":[81],"DNNs.":[82],"However,":[83],"power":[87,157],"density":[88],"stacked":[90],"architectures,":[91],"DRAMs":[93],"need":[94],"dynamic":[95],"thermal":[96,111],"management":[97],"(DTM),":[98],"performance":[101,200],"overhead":[102],"memory-induced":[105],"throttling.":[107],"We":[108,167],"study":[109],"impact":[112],"applications":[115],"running":[116],"system,":[121],"make":[123],"case":[125],"temperature-aware":[129],"customized":[130],"prefetch":[131],"mechanism":[132],"DTM":[135,145,220],"overheads":[136],"significantly":[138],"improve":[139],"performance.":[140],"In":[141],"our":[142,172],"proposed":[143],"NeuroCool":[144,195],"policy,":[146],"we":[147],"intelligently":[148],"place":[149],"either":[150],"ranks":[152],"or":[153],"tiers":[154],"low":[156],"state,":[158],"using":[159],"layer":[162],"characteristics":[163],"access":[165],"rate.":[166],"establish":[168],"generalization":[170],"approach":[173],"through":[174],"training":[175],"test":[177],"comprising":[179],"diverse":[180],"points":[182],"from":[183],"widely":[184],"used":[185],"applications.":[187],"Experimental":[188],"results":[189,196],"popular":[191],"DNNs":[192],"show":[193],"that":[194],"average":[199],"gain":[201],"44%":[203],"(as":[204,214],"as":[206,216],"52%)":[207],"energy":[210],"improvement":[211],"43%":[213],"69%)":[217],"over":[218],"policies.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}