{"id":"https://openalex.org/W2622164283","doi":"https://doi.org/10.1109/iiswc.2017.8167757","title":"Demystifying the characteristics of 3D-stacked memories: A case study for Hybrid Memory Cube","display_name":"Demystifying the characteristics of 3D-stacked memories: A case study for Hybrid Memory Cube","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2622164283","doi":"https://doi.org/10.1109/iiswc.2017.8167757","mag":"2622164283"},"language":"en","primary_location":{"id":"doi:10.1109/iiswc.2017.8167757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iiswc.2017.8167757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Workload Characterization (IISWC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1706.02725","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046221045","display_name":"Ramyad Hadidi","orcid":"https://orcid.org/0000-0002-8731-1084"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramyad Hadidi","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059742939","display_name":"Bahar Asgari","orcid":"https://orcid.org/0000-0003-2305-9892"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bahar Asgari","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022654823","display_name":"Burhan Ahmad Mudassar","orcid":"https://orcid.org/0000-0003-2047-3772"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Burhan Ahmad Mudassar","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009591041","display_name":"Saibal Mukhopadhyay","orcid":"https://orcid.org/0000-0002-8894-3390"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saibal Mukhopadhyay","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111855694","display_name":"Sudhakar Yalamanchili","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sudhakar Yalamanchili","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000822269","display_name":"Hyesoon Kim","orcid":"https://orcid.org/0000-0002-6061-7825"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hyesoon Kim","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":6.0862,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.97815913,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"66","last_page":"75"},"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/T10829","display_name":"Interconnection Networks and Systems","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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7600234746932983},{"id":"https://openalex.org/keywords/dram","display_name":"Dram","score":0.6200535893440247},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.522022545337677},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.5069394707679749},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.48045629262924194},{"id":"https://openalex.org/keywords/random-access-memory","display_name":"Random access memory","score":0.4751589000225067},{"id":"https://openalex.org/keywords/memory-bandwidth","display_name":"Memory bandwidth","score":0.46686267852783203},{"id":"https://openalex.org/keywords/static-random-access-memory","display_name":"Static random-access memory","score":0.44620224833488464},{"id":"https://openalex.org/keywords/low-latency","display_name":"Low latency (capital markets)","score":0.4341576397418976},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.42942890524864197},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.41107994318008423},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3805132210254669},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.25407224893569946},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.1984061300754547},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15513384342193604},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.12573102116584778},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10794830322265625},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08624109625816345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7600234746932983},{"id":"https://openalex.org/C7366592","wikidata":"https://www.wikidata.org/wiki/Q1255620","display_name":"Dram","level":2,"score":0.6200535893440247},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.522022545337677},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.5069394707679749},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.48045629262924194},{"id":"https://openalex.org/C2994168587","wikidata":"https://www.wikidata.org/wiki/Q5295","display_name":"Random access memory","level":2,"score":0.4751589000225067},{"id":"https://openalex.org/C188045654","wikidata":"https://www.wikidata.org/wiki/Q17148339","display_name":"Memory bandwidth","level":2,"score":0.46686267852783203},{"id":"https://openalex.org/C68043766","wikidata":"https://www.wikidata.org/wiki/Q267416","display_name":"Static random-access memory","level":2,"score":0.44620224833488464},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.4341576397418976},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.42942890524864197},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.41107994318008423},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3805132210254669},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.25407224893569946},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.1984061300754547},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15513384342193604},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.12573102116584778},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10794830322265625},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08624109625816345},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iiswc.2017.8167757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iiswc.2017.8167757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Workload Characterization (IISWC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1706.02725","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.02725","pdf_url":"https://arxiv.org/pdf/1706.02725","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1706.02725","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.02725","pdf_url":"https://arxiv.org/pdf/1706.02725","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1680011003","https://openalex.org/W1975237352","https://openalex.org/W1981220134","https://openalex.org/W2022655850","https://openalex.org/W2082375193","https://openalex.org/W2092324191","https://openalex.org/W2100516830","https://openalex.org/W2250217037","https://openalex.org/W2272558892","https://openalex.org/W2474451066","https://openalex.org/W2497599918","https://openalex.org/W2513721464","https://openalex.org/W2534610203","https://openalex.org/W2536390129","https://openalex.org/W2538933872","https://openalex.org/W2612654866","https://openalex.org/W2985278913","https://openalex.org/W4233147525","https://openalex.org/W6655987917"],"related_works":["https://openalex.org/W2089002058","https://openalex.org/W1909296377","https://openalex.org/W2094308961","https://openalex.org/W3185029353","https://openalex.org/W3116379964","https://openalex.org/W2766443086","https://openalex.org/W2915176329","https://openalex.org/W2793465010","https://openalex.org/W2967161359","https://openalex.org/W2208608937"],"abstract_inverted_index":{"Three-dimensional":[0],"(3D)-stacking":[1],"technology,":[2],"which":[3,43],"enables":[4],"the":[5,63,92,95,102,112],"integration":[6],"of":[7,62,66,72,97,105,150,162],"DRAM":[8],"and":[9,15,48,74,81,115,139,145,156,164],"logic":[10],"dies,":[11],"offers":[12],"high":[13],"bandwidth":[14,47,75,130],"low":[16,49],"energy":[17],"consumption.":[18],"This":[19,89],"technology":[20],"also":[21],"empowers":[22],"new":[23,121],"memory":[24,37],"designs":[25],"for":[26,123,143,159],"executing":[27],"tasks":[28],"not":[29,85],"traditionally":[30],"associated":[31],"with":[32,79],"memories.":[33,166],"A":[34],"practical":[35],"3D-stacked":[36,165],"is":[38,91],"Hybrid":[39],"Memory":[40],"Cube":[41],"(HMC),":[42],"provides":[44],"significant":[45],"access":[46],"power":[50,82],"consumption":[51,83],"in":[52,70,107],"a":[53,108,120],"small":[54],"area.":[55],"Although":[56],"several":[57],"studies":[58],"have":[59,84],"taken":[60],"advantage":[61],"novel":[64],"architecture":[65],"HMC,":[67],"its":[68],"characteristics":[69],"terms":[71],"latency":[73,138],"or":[76],"their":[77,141],"correlation":[78],"temperature":[80,118],"been":[86],"fully":[87],"explored.":[88],"paper":[90,152],"first,":[93],"to":[94,100,116,137],"best":[96],"our":[98],"knowledge,":[99],"characterize":[101],"thermal":[103],"behavior":[104],"HMC":[106],"real":[109],"environment":[110],"using":[111],"AC-510":[113],"accelerator":[114],"identify":[117],"as":[119],"limitation":[122],"this":[124,151],"state-of-the-art":[125],"design":[126],"space.":[127],"Moreover,":[128],"besides":[129],"studies,":[131],"we":[132],"deconstruct":[133],"factors":[134],"that":[135],"contribute":[136],"reveal":[140],"sources":[142],"high-":[144],"low-load":[146],"accesses.":[147],"The":[148],"results":[149],"demonstrates":[153],"essential":[154],"behaviors":[155],"performance":[157],"bottlenecks":[158],"future":[160],"explorations":[161],"packet-switched":[163]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}