{"id":"https://openalex.org/W4379115916","doi":"https://doi.org/10.23919/date56975.2023.10137190","title":"REDRAW: Fast and Efficient Hardware Accelerator with Reduced Reads And Writes for 3D UNet","display_name":"REDRAW: Fast and Efficient Hardware Accelerator with Reduced Reads And Writes for 3D UNet","publication_year":2023,"publication_date":"2023-04-01","ids":{"openalex":"https://openalex.org/W4379115916","doi":"https://doi.org/10.23919/date56975.2023.10137190"},"language":"en","primary_location":{"id":"doi:10.23919/date56975.2023.10137190","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/date56975.2023.10137190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5008087399","display_name":"Tom Glint","orcid":"https://orcid.org/0000-0002-4053-0247"},"institutions":[{"id":"https://openalex.org/I27674431","display_name":"Indian Institute of Technology Gandhinagar","ror":"https://ror.org/0036p5w23","country_code":"IN","type":"education","lineage":["https://openalex.org/I27674431"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tom Glint","raw_affiliation_strings":["IIT Gandhinagar,India","IIT Gandhinagar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Gandhinagar,India","institution_ids":["https://openalex.org/I27674431"]},{"raw_affiliation_string":"IIT Gandhinagar, India","institution_ids":["https://openalex.org/I27674431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012432339","display_name":"Manu Awasthi","orcid":"https://orcid.org/0000-0002-5616-9679"},"institutions":[{"id":"https://openalex.org/I347237974","display_name":"Ashoka University","ror":"https://ror.org/02j1xr113","country_code":"IN","type":"education","lineage":["https://openalex.org/I347237974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manu Awasthi","raw_affiliation_strings":["Ashoka University,India","Ashoka University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ashoka University,India","institution_ids":["https://openalex.org/I347237974"]},{"raw_affiliation_string":"Ashoka University, India","institution_ids":["https://openalex.org/I347237974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080209114","display_name":"Joycee Mekie","orcid":"https://orcid.org/0000-0001-9646-1941"},"institutions":[{"id":"https://openalex.org/I27674431","display_name":"Indian Institute of Technology Gandhinagar","ror":"https://ror.org/0036p5w23","country_code":"IN","type":"education","lineage":["https://openalex.org/I27674431"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Joycee Mekie","raw_affiliation_strings":["IIT Gandhinagar,India","IIT Gandhinagar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Gandhinagar,India","institution_ids":["https://openalex.org/I27674431"]},{"raw_affiliation_string":"IIT Gandhinagar, India","institution_ids":["https://openalex.org/I27674431"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9939000010490417,"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":0.8460614681243896},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6423108577728271},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5250370502471924},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49831581115722656},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.48779112100601196},{"id":"https://openalex.org/keywords/memory-hierarchy","display_name":"Memory hierarchy","score":0.4857847988605499},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.47993093729019165},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4170050621032715},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.33609631657600403},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.33540380001068115},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3295520544052124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1986360251903534},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.16388928890228271}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8460614681243896},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6423108577728271},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5250370502471924},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49831581115722656},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.48779112100601196},{"id":"https://openalex.org/C2778100165","wikidata":"https://www.wikidata.org/wiki/Q1589327","display_name":"Memory hierarchy","level":3,"score":0.4857847988605499},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.47993093729019165},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4170050621032715},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.33609631657600403},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.33540380001068115},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3295520544052124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1986360251903534},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.16388928890228271},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date56975.2023.10137190","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/date56975.2023.10137190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2464177207","https://openalex.org/W2464708700","https://openalex.org/W2593564159","https://openalex.org/W2794141774","https://openalex.org/W2804847842","https://openalex.org/W2899481200","https://openalex.org/W2921967969","https://openalex.org/W2940862705","https://openalex.org/W2963673357","https://openalex.org/W2979245724","https://openalex.org/W2998732502","https://openalex.org/W2999356938","https://openalex.org/W3004127905","https://openalex.org/W3043571714","https://openalex.org/W3105594088","https://openalex.org/W3129601694","https://openalex.org/W4212928440","https://openalex.org/W4220829081","https://openalex.org/W4225957935","https://openalex.org/W4244024631","https://openalex.org/W4281728050","https://openalex.org/W4287734657","https://openalex.org/W6719768283","https://openalex.org/W6760738572","https://openalex.org/W6769062451","https://openalex.org/W6809551162"],"related_works":["https://openalex.org/W986318368","https://openalex.org/W2000785801","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W2990194547","https://openalex.org/W2004734601","https://openalex.org/W2130149817","https://openalex.org/W1480123525","https://openalex.org/W1975522091","https://openalex.org/W2140286994"],"abstract_inverted_index":{"Hardware":[0],"Accelerators":[1],"(HAs)":[2],"proposed":[3,121,152,195],"so":[4],"far":[5],"have":[6],"been":[7],"designed":[8],"with":[9,47,88,93,126,130],"a":[10,44,86,94,139,180,198,205],"focus":[11],"on":[12],"2D":[13],"Convolutional":[14],"Neural":[15],"Networks":[16],"(CNNs)":[17],"and":[18,84,137,164],"3D":[19,36,41,45,70,81,113,171],"CNNs":[20,37],"using":[21,38],"temporal":[22],"data.":[23,40],"To":[24],"the":[25,51,55,64,80,117,120,131,151,156,167,189,194],"best":[26],"of":[27,68,98,119,134,158,170,183,192],"our":[28],"knowledge,":[29],"there":[30],"is":[31,43,72],"no":[32],"existing":[33],"HA":[34,87,122],"for":[35,63,111,144],"spatial":[39],"UNet":[42,71,82],"CNN":[46],"significant":[48],"applications":[49],"in":[50,142,202,204],"medical":[52],"domain.":[53],"However,":[54],"total":[56,95],"on-chip":[57,96],"buffer":[58,97],"size":[59],"(>20":[60],"MB)":[61],"required":[62,110],"complete":[65],"stationery":[66],"approach":[67],"processing":[69,112],"cost":[73],"prohibitive.":[74],"In":[75],"this":[76],"work,":[77],"we":[78,149],"analyze":[79],"workload":[83],"propose":[85],"an":[89,145],"optimized":[90],"memory":[91,108,162],"hierarchy":[92],"less":[99],"than":[100],"4":[101],"MB":[102],"while":[103],"conceding":[104],"near":[105],"theoretical":[106],"minimum":[107],"accesses":[109],"UNet.":[114],"We":[115],"demonstrate":[116],"efficiency":[118],"by":[123],"comparing":[124],"it":[125],"SOTA":[127],"Simba":[128],"architecture":[129,153,196],"same":[132],"number":[133],"MAC":[135],"Units":[136],"show":[138],"1.3\u00d7":[140],"increase":[141,155,201],"TOPSwatt":[143],"ISO-area":[146],"design.":[147],"Further,":[148],"revise":[150],"to":[154,161,165],"ratio":[157],"compute":[159],"operations":[160,163],"meet":[166],"latency":[168],"requirement":[169],"UNet-based":[172],"embedded":[173],"applications.":[174],"The":[175],"revised":[176],"architecture,":[177],"compared":[178],"against":[179],"dual":[181,190],"instance":[182,191],"Simba,":[184,193],"has":[185],"similar":[186,206],"latency.":[187],"Against":[188],"achieves":[197],"1.8":[199],"\u00d7":[200],"TOPS/watt":[203],"area.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
