{"id":"https://openalex.org/W2440896129","doi":"https://doi.org/10.1109/isbi.2016.7493374","title":"Efficient tomographic reconstruction for commodity processors with limited memory bandwidth","display_name":"Efficient tomographic reconstruction for commodity processors with limited memory bandwidth","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2440896129","doi":"https://doi.org/10.1109/isbi.2016.7493374","mag":"2440896129"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2016.7493374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)","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/A5101774031","display_name":"Hiroshi Inoue","orcid":"https://orcid.org/0000-0002-8238-0371"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]},{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hiroshi Inoue","raw_affiliation_strings":["IBM Research - Tokyo, University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"IBM Research - Tokyo, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I4210145865","https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101774031"],"corresponding_institution_ids":["https://openalex.org/I4210145865","https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.5554,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70638422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"747","last_page":"750"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.8056136965751648},{"id":"https://openalex.org/keywords/memory-bandwidth","display_name":"Memory bandwidth","score":0.6775550842285156},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5634042024612427},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5109919309616089},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5013978481292725},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.46772444248199463},{"id":"https://openalex.org/keywords/computing-with-memory","display_name":"Computing with Memory","score":0.42773449420928955},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.4268602430820465},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4157012701034546},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.35558345913887024},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.34912437200546265},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.31964483857154846},{"id":"https://openalex.org/keywords/semiconductor-memory","display_name":"Semiconductor memory","score":0.28048375248908997},{"id":"https://openalex.org/keywords/interleaved-memory","display_name":"Interleaved memory","score":0.25261539220809937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8056136965751648},{"id":"https://openalex.org/C188045654","wikidata":"https://www.wikidata.org/wiki/Q17148339","display_name":"Memory bandwidth","level":2,"score":0.6775550842285156},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5634042024612427},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5109919309616089},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5013978481292725},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.46772444248199463},{"id":"https://openalex.org/C152890283","wikidata":"https://www.wikidata.org/wiki/Q4129922","display_name":"Computing with Memory","level":5,"score":0.42773449420928955},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.4268602430820465},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4157012701034546},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.35558345913887024},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.34912437200546265},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.31964483857154846},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.28048375248908997},{"id":"https://openalex.org/C63511323","wikidata":"https://www.wikidata.org/wiki/Q908936","display_name":"Interleaved memory","level":4,"score":0.25261539220809937},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2016.7493374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1974048680","https://openalex.org/W1997448249","https://openalex.org/W2029570992","https://openalex.org/W2253316886","https://openalex.org/W6643757293"],"related_works":["https://openalex.org/W2031026393","https://openalex.org/W2063611263","https://openalex.org/W2339034473","https://openalex.org/W2128337014","https://openalex.org/W4200309432","https://openalex.org/W1994417497","https://openalex.org/W3087415768","https://openalex.org/W1806602459","https://openalex.org/W3177445991","https://openalex.org/W2471153971"],"abstract_inverted_index":{"Three-dimensional":[0],"(3D)":[1],"computed":[2],"tomography":[3],"(CT)":[4],"is":[5,188],"one":[6],"of":[7,11,180],"the":[8,121,127,151,154,175],"key":[9],"components":[10],"many":[12],"clinical":[13],"workflows.":[14],"Because":[15],"CT":[16,66,140,198],"reconstruction":[17,67],"has":[18,40],"been":[19,41],"known":[20],"as":[21,32,55],"a":[22,138,143],"compute-intensive":[23],"workload,":[24],"accelerating":[25],"this":[26,101],"workload":[27],"using":[28],"special-purpose":[29],"accelerators,":[30,202],"such":[31,54,193],"GPUs":[33],"and":[34,97,108,208],"FPGAs,":[35],"or":[36],"multi-socket":[37],"server-grade":[38,90],"processors":[39,81,91,114,195],"widely":[42],"studied.":[43],"Due":[44],"to":[45,89,93,132,191],"recent":[46],"advances":[47],"in":[48,58,95,136,196],"semiconductor":[49],"technologies,":[50],"even":[51],"commodity":[52,80,194],"processors,":[53],"those":[56],"used":[57],"PCs,":[59],"can":[60,166],"provide":[61,83],"sufficient":[62],"computing":[63,78],"power":[64],"for":[65,174,211],"by":[68],"multiple":[69],"cores":[70,185],"with":[71,115,124,146,159,182],"vector":[72],"processing":[73],"units.":[74],"Despite":[75],"their":[76],"huge":[77],"power,":[79],"often":[82],"limited":[84,116,147],"system":[85],"memory":[86,117,128,148,152],"bandwidth":[87],"compared":[88],"due":[92],"constraints":[94],"cost":[96,207],"energy":[98,209],"consumption.":[99],"In":[100],"paper,":[102],"we":[103],"describe":[104],"our":[105],"memory-optimization":[106],"technique":[107],"its":[109],"implementation":[110,165],"targeting":[111],"on":[112,142],"general-purpose":[113],"bandwidth.":[118,149],"By":[119],"reducing":[120],"memory-bandwidth":[122],"requirement":[123],"batch":[125],"processing,":[126],"optimization":[129],"achieved":[130],"up":[131],"80%":[133],"performance":[134,155],"improvements":[135],"RabbitCT,":[137],"widely-used":[139],"benchmark,":[141],"quad-core":[144],"processor":[145],"Without":[150],"optimization,":[153],"did":[156],"not":[157],"scale":[158],"more":[160],"than":[161],"two":[162],"cores.":[163],"The":[164],"process":[167],"about":[168],"40":[169],"projection":[170],"images":[171],"per":[172],"second":[173],"most":[176],"common":[177],"problem":[178],"size":[179],"512A3":[181],"only":[183],"four":[184],"used.":[186],"It":[187],"therefore":[189],"practical":[190],"use":[192],"real":[197],"systems":[199],"without":[200],"additional":[201],"which":[203],"trade":[204],"greatly":[205],"increased":[206],"consumption":[210],"higher":[212],"throughput.":[213]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
