{"id":"https://openalex.org/W4386859284","doi":"https://doi.org/10.1109/islped58423.2023.10244523","title":"Teleport: A High-Performance ShiftNet Hardware Accelerator with Fused Layer Computation","display_name":"Teleport: A High-Performance ShiftNet Hardware Accelerator with Fused Layer Computation","publication_year":2023,"publication_date":"2023-08-07","ids":{"openalex":"https://openalex.org/W4386859284","doi":"https://doi.org/10.1109/islped58423.2023.10244523"},"language":"en","primary_location":{"id":"doi:10.1109/islped58423.2023.10244523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/islped58423.2023.10244523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)","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/A5100622519","display_name":"Hyunmin Kim","orcid":"https://orcid.org/0000-0002-9338-4597"},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunmin Kim","raw_affiliation_strings":["Sogang University,Department of Electronic Engineering,Seoul,Republic of Korea","Department of Electronic Engineering, Sogang University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sogang University,Department of Electronic Engineering,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I148751991"]},{"raw_affiliation_string":"Department of Electronic Engineering, Sogang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I148751991"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079596428","display_name":"Sungju Ryu","orcid":"https://orcid.org/0000-0002-0254-391X"},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungju Ryu","raw_affiliation_strings":["Sogang University,Department of System Semiconductor Engineering,Seoul,Republic of Korea","Department of System Semiconductor Engineering, Sogang University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sogang University,Department of System Semiconductor Engineering,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I148751991"]},{"raw_affiliation_string":"Department of System Semiconductor Engineering, Sogang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I148751991"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I148751991"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16055567,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7449229955673218},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7295553684234619},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6590681672096252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6399490237236023},{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.623548150062561},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.5427444577217102},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5326762795448303},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4391433596611023},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4139726459980011},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3699270486831665},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3337913751602173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25791653990745544},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.14863744378089905},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12174829840660095},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09526017308235168}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7449229955673218},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7295553684234619},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6590681672096252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6399490237236023},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.623548150062561},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.5427444577217102},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5326762795448303},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4391433596611023},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4139726459980011},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3699270486831665},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3337913751602173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25791653990745544},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.14863744378089905},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12174829840660095},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09526017308235168},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/islped58423.2023.10244523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/islped58423.2023.10244523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G864751221","display_name":null,"funder_award_id":"NRF-2022R1F1A1070414","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G8819056014","display_name":null,"funder_award_id":"No.2022-0-00266","funder_id":"https://openalex.org/F4320324891","funder_display_name":"Iran Telecommunication Research Center"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320324891","display_name":"Iran Telecommunication Research Center","ror":"https://ror.org/01a3g2z22"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2605347906","https://openalex.org/W2606722458","https://openalex.org/W2890246415","https://openalex.org/W2901214301","https://openalex.org/W2963844898","https://openalex.org/W3101086546","https://openalex.org/W4200486959","https://openalex.org/W4220686330","https://openalex.org/W4297775537","https://openalex.org/W6737664043","https://openalex.org/W6754322854"],"related_works":["https://openalex.org/W2806579702","https://openalex.org/W3215511279","https://openalex.org/W4386973109","https://openalex.org/W3177807169","https://openalex.org/W2117186436","https://openalex.org/W1997746627","https://openalex.org/W1429949169","https://openalex.org/W2070391474","https://openalex.org/W2947156837","https://openalex.org/W2049918533"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,74],"introduce":[4],"a":[5,72,97,101,105],"high-performance":[6],"ShiftNet-optimized":[7],"hardware":[8,33,116],"accelerator":[9],"called":[10],"Teleport.":[11],"ShiftNet":[12,121],"replaces":[13],"the":[14,27,39,46,54,59,65,77,84,88,91,111,114,120],"standard":[15],"convolutional":[16,67,80],"layers":[17,81],"with":[18],"zero-flop-based":[19],"shift":[20,40,47,55,78],"convolution":[21,24],"and":[22,42,52,79,90,104],"pointwise":[23],"to":[25,49],"reduce":[26],"number":[28,61],"of":[29,62,87],"computations.":[30],"However,":[31],"previous":[32,115],"acceleration":[34,117],"approaches":[35],"do":[36],"not":[37],"support":[38],"convolution,":[41],"hence":[43],"they":[44],"mapped":[45],"operation":[48],"the$3\\times":[50],"3$convolution,":[51],"thereby":[53],"layer":[56],"still":[57],"shows":[58],"same":[60],"computations":[63,93],"as":[64],"conventional":[66],"layers.":[68],"To":[69],"mitigate":[70],"such":[71],"limitation,":[73],"first":[75],"fuse":[76],"without":[82],"modifying":[83],"original":[85],"configuration":[86],"ShiftNets,":[89],"fused":[92],"are":[94],"accelerated":[95],"using":[96],"custom":[98],"address":[99],"translator,":[100],"systolic":[102,106],"loader,":[103],"array.":[107],"Our":[108],"work":[109],"improved":[110],"performance":[112],"by$6.1-103\\times$over":[113],"approach":[118],"on":[119],"benchmark.":[122]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
