{"id":"https://openalex.org/W2893868612","doi":"https://doi.org/10.1109/tvlsi.2018.2869663","title":"A High-Throughput Hardware Accelerator for Lossless Compression of a DDR4 Command Trace","display_name":"A High-Throughput Hardware Accelerator for Lossless Compression of a DDR4 Command Trace","publication_year":2018,"publication_date":"2018-09-26","ids":{"openalex":"https://openalex.org/W2893868612","doi":"https://doi.org/10.1109/tvlsi.2018.2869663","mag":"2893868612"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2018.2869663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2018.2869663","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Very Large Scale Integration (VLSI) 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/A5045263497","display_name":"Ji-Woong Choi","orcid":"https://orcid.org/0000-0002-0602-9256"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jiwoong Choi","raw_affiliation_strings":["Inter-University Semiconductor Research Center, Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Inter-University Semiconductor Research Center, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018573573","display_name":"Boyeal Kim","orcid":"https://orcid.org/0000-0003-4855-3600"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Boyeal Kim","raw_affiliation_strings":["Inter-University Semiconductor Research Center, Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Inter-University Semiconductor Research Center, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371185","display_name":"Hyun Kim","orcid":"https://orcid.org/0000-0002-7962-657X"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun Kim","raw_affiliation_strings":["Department of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul, South Korea","institution_ids":["https://openalex.org/I118373667"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024723558","display_name":"Hyuk\u2010Jae Lee","orcid":"https://orcid.org/0000-0001-6811-9647"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyuk-Jae Lee","raw_affiliation_strings":["Inter-University Semiconductor Research Center, Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Inter-University Semiconductor Research Center, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045263497"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":1.1846,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.84595654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"27","issue":"1","first_page":"92","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9994999766349792,"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":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8195360898971558},{"id":"https://openalex.org/keywords/huffman-coding","display_name":"Huffman coding","score":0.724274754524231},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.5589425563812256},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.49733713269233704},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4643815755844116},{"id":"https://openalex.org/keywords/registered-memory","display_name":"Registered memory","score":0.4607890546321869},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.4594465494155884},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4498075246810913},{"id":"https://openalex.org/keywords/auxiliary-memory","display_name":"Auxiliary memory","score":0.4232233464717865},{"id":"https://openalex.org/keywords/interleaved-memory","display_name":"Interleaved memory","score":0.41562920808792114},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4139839708805084},{"id":"https://openalex.org/keywords/semiconductor-memory","display_name":"Semiconductor memory","score":0.2919754981994629},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.25898319482803345},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.16274070739746094},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12508302927017212}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8195360898971558},{"id":"https://openalex.org/C46900642","wikidata":"https://www.wikidata.org/wiki/Q2647","display_name":"Huffman coding","level":3,"score":0.724274754524231},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.5589425563812256},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.49733713269233704},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4643815755844116},{"id":"https://openalex.org/C93446704","wikidata":"https://www.wikidata.org/wiki/Q449328","display_name":"Registered memory","level":3,"score":0.4607890546321869},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.4594465494155884},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4498075246810913},{"id":"https://openalex.org/C82687282","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Auxiliary memory","level":2,"score":0.4232233464717865},{"id":"https://openalex.org/C63511323","wikidata":"https://www.wikidata.org/wiki/Q908936","display_name":"Interleaved memory","level":4,"score":0.41562920808792114},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4139839708805084},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.2919754981994629},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.25898319482803345},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.16274070739746094},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12508302927017212},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvlsi.2018.2869663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2018.2869663","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2801351297","display_name":null,"funder_award_id":"10080613","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"}],"funders":[{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W80079294","https://openalex.org/W87092222","https://openalex.org/W1559971515","https://openalex.org/W1618702380","https://openalex.org/W1964986678","https://openalex.org/W1975965284","https://openalex.org/W1977556410","https://openalex.org/W1981870765","https://openalex.org/W1990653637","https://openalex.org/W2021182209","https://openalex.org/W2022126655","https://openalex.org/W2024171325","https://openalex.org/W2060108852","https://openalex.org/W2076789254","https://openalex.org/W2085880494","https://openalex.org/W2090830330","https://openalex.org/W2105028194","https://openalex.org/W2107093723","https://openalex.org/W2107745473","https://openalex.org/W2113194790","https://openalex.org/W2113844580","https://openalex.org/W2115172404","https://openalex.org/W2115936097","https://openalex.org/W2121990550","https://openalex.org/W2122962290","https://openalex.org/W2129652681","https://openalex.org/W2130217590","https://openalex.org/W2140040762","https://openalex.org/W2140043623","https://openalex.org/W2147540684","https://openalex.org/W2147575032","https://openalex.org/W2150376756","https://openalex.org/W2161488606","https://openalex.org/W2162310490","https://openalex.org/W2165874743","https://openalex.org/W2167699412","https://openalex.org/W2182279004","https://openalex.org/W2539301238","https://openalex.org/W2554940076","https://openalex.org/W2574604241","https://openalex.org/W2767480964","https://openalex.org/W2769869222","https://openalex.org/W6603586546","https://openalex.org/W6636646360","https://openalex.org/W6679178554","https://openalex.org/W6683504902","https://openalex.org/W6684578312","https://openalex.org/W6686053028","https://openalex.org/W6732154864","https://openalex.org/W6745498162"],"related_works":["https://openalex.org/W1557642114","https://openalex.org/W1762028264","https://openalex.org/W2245073596","https://openalex.org/W2044064773","https://openalex.org/W2062140197","https://openalex.org/W4232365528","https://openalex.org/W2159479644","https://openalex.org/W1579430994","https://openalex.org/W1455439291","https://openalex.org/W2133063415"],"abstract_inverted_index":{"In":[0,124],"a":[1,51,70,87,109,133,205,212],"memory":[2,11,16,25,30,170],"system,":[3],"understanding":[4],"how":[5],"the":[6,10,19,22,29,34,42,78,101,139,144,152,155,164,168,172,179,185,190,220,227,233],"host":[7],"is":[8,12,47,65,84,112,130,230],"stressing":[9],"important":[13],"to":[14,33,90,106,162,232],"improve":[15,163],"performance.":[17],"Accordingly,":[18],"need":[20],"for":[21,74],"analysis":[23],"of":[24,44,77,147,167,193,208,215,226],"command":[26,79],"trace,":[27],"which":[28,188],"controller":[31],"sends":[32],"dynamic":[35],"random":[36,118],"access":[37,119],"memory,":[38],"has":[39],"increased.":[40],"However,":[41],"size":[43],"this":[45],"trace":[46],"very":[48,134],"large;":[49],"consequently,":[50],"high-throughput":[52,71,107],"hardware":[53],"(HW)":[54],"accelerator":[55,73],"that":[56],"can":[57],"efficiently":[58,113],"compress":[59],"these":[60],"data":[61],"in":[62,86],"real":[63],"time":[64],"required.":[66],"This":[67],"paper":[68],"proposes":[69],"HW":[72,83,102,140,222],"lossless":[75],"compression":[76,165,198,213],"trace.":[80],"The":[81,196],"proposed":[82,173,197,228],"designed":[85],"pipeline":[88],"structure":[89],"process":[91],"Huffman":[92,110,148,156],"tree":[93,111],"generation,":[94],"encoding,":[95],"and":[96,122,150,154,184],"stream":[97,128],"merge.":[98],"To":[99],"avoid":[100],"cost":[103,136],"increase":[104],"owing":[105],"processing,":[108],"implemented":[114],"by":[115,137],"utilizing":[116],"static":[117],"memory-based":[120],"queues":[121],"bitmaps.":[123],"addition,":[125],"variable":[126],"length":[127],"merge":[129],"performed":[131],"at":[132],"low":[135],"reducing":[138],"wire":[141],"width":[142],"using":[143,158],"mathematical":[145],"properties":[146],"coding":[149],"processing":[151],"metadata":[153],"codeword":[157],"FIFO":[159],"separately.":[160],"Furthermore,":[161],"efficiency":[166],"DDR4":[169,194],"command,":[171],"design":[174],"includes":[175],"two":[176],"preprocessing":[177,202],"operations,":[178],"\u201cdon't":[180],"care":[181],"bits":[182],"override\u201d":[183],"\u201cbits":[186],"arrange,\u201d":[187],"utilize":[189],"operating":[191],"characteristics":[192],"memory.":[195],"architecture":[199,229],"with":[200,211],"such":[201],"operations":[203],"achieves":[204],"high":[206],"throughput":[207,225],"8":[209],"GB/s":[210],"ratio":[214],"40.13%":[216],"on":[217],"average.":[218],"Moreover,":[219],"total":[221],"resource":[223],"per":[224],"superior":[231],"previous":[234],"implementations.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}