{"id":"https://openalex.org/W6950446541","doi":"https://doi.org/10.5281/zenodo.7346345","title":"EdgeTune: Inference-Aware Hyperparameter Tuning","display_name":"EdgeTune: Inference-Aware Hyperparameter Tuning","publication_year":2022,"publication_date":"2022-11-22","ids":{"openalex":"https://openalex.org/W6950446541","doi":"https://doi.org/10.5281/zenodo.7346345"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.7346345","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.7346345","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.7346345","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Rocha, Isabelly","orcid":"https://orcid.org/0000-0001-7636-9320"},"institutions":[{"id":"https://openalex.org/I57825437","display_name":"University of Neuch\u00e2tel","ror":"https://ror.org/00vasag41","country_code":"CH","type":"education","lineage":["https://openalex.org/I57825437"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Rocha, Isabelly","raw_affiliation_strings":["University of Neuchatel"],"affiliations":[{"raw_affiliation_string":"University of Neuchatel","institution_ids":["https://openalex.org/I57825437"]}]},{"author_position":"last","author":{"id":null,"display_name":"Schiavoni, Valerio","orcid":"https://orcid.org/0000-0003-1493-6603"},"institutions":[{"id":"https://openalex.org/I57825437","display_name":"University of Neuch\u00e2tel","ror":"https://ror.org/00vasag41","country_code":"CH","type":"education","lineage":["https://openalex.org/I57825437"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Schiavoni, Valerio","raw_affiliation_strings":["University of Neuchatel"],"affiliations":[{"raw_affiliation_string":"University of Neuchatel","institution_ids":["https://openalex.org/I57825437"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I57825437"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11088","display_name":"Marine Bivalve and Aquaculture Studies","score":0.6980000138282776,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11088","display_name":"Marine Bivalve and Aquaculture Studies","score":0.6980000138282776,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12071","display_name":"Marine Biology and Environmental Chemistry","score":0.02070000022649765,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T12097","display_name":"Aquatic Invertebrate Ecology and Behavior","score":0.019200000911951065,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.4253999888896942},{"id":"https://openalex.org/keywords/byte","display_name":"Byte","score":0.26190000772476196},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.2134000062942505},{"id":"https://openalex.org/keywords/font","display_name":"Font","score":0.21330000460147858}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5831999778747559},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.4417000114917755},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.4253999888896942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32910001277923584},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3221000134944916},{"id":"https://openalex.org/C43364308","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Byte","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2134000062942505},{"id":"https://openalex.org/C2777737414","wikidata":"https://www.wikidata.org/wiki/Q4868296","display_name":"Font","level":2,"score":0.21330000460147858},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.21250000596046448},{"id":"https://openalex.org/C81089528","wikidata":"https://www.wikidata.org/wiki/Q5134986","display_name":"clone (Java method)","level":3,"score":0.20280000567436218}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.7346345","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.7346345","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.5281/zenodo.7346345","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.7346345","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.46398288011550903,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"#":[0,225,236],"EdgeTune:":[1],"Inference-Aware":[2,44],"Hyperparameter":[3],"Tuning":[4],"The":[5],"results":[6],"of":[7,74],"EdgeTune":[8],"have":[9],"been":[10],"presented":[11],"at":[12],"the":[13,75],"ACM":[14],"Middleware":[15,82],"2022":[16],"conference.":[17],"If":[18],"you":[19],"use":[20],"this":[21],"software,":[22],"please":[23],"cite":[24],"us:":[25],"```<br>":[26],"@inproceedings{10.1145/3528535.3533273,<br>":[27],"author":[28],"=":[29,42,48,51,54,60,66,69,72,85,88,91,99,104],"{Rocha,":[30],"Isabelly":[31],"and":[32,35,38],"Felber,":[33],"Pascal":[34],"Schiavoni,":[36],"Valerio":[37],"Chen,":[39],"Lydia},<br>":[40],"title":[41],"{EdgeTune:":[43],"Multi-Parameter":[45],"Tuning},<br>":[46],"year":[47],"{2022},<br>":[49],"isbn":[50],"{9781450393409},<br>":[52],"publisher":[53],"{Association":[55],"for":[56],"Computing":[57],"Machinery},<br>":[58],"address":[59],"{New":[61],"York,":[62],"NY,":[63],"USA},<br>":[64],"url":[65],"{https://doi.org/10.1145/3528535.3533273},<br>":[67],"doi":[68],"{10.1145/3528535.3533273},<br>":[70],"booktitle":[71],"{Proceedings":[73],"23rd":[76,79],"Conference":[77],"on":[78],"ACM/IFIP":[80],"International":[81],"Conference},<br>":[83],"pages":[84],"{1\u201314},<br>":[86],"numpages":[87],"{14},<br>":[89],"keywords":[90],"{tuning,":[92],"deep":[93],"neural":[94],"networks,":[95],"training,":[96],"inference},<br>":[97],"location":[98],"{Quebec,":[100],"QC,":[101],"Canada},<br>":[102],"series":[103],"{Middleware":[105],"'22}<br>":[106],"}<br>":[107],"```":[108,122,141,160,210,240,263,276,305,315,326],"##":[109,123,211,241,316,327],"Install":[110,124,212,328],"pip3<br>":[111],"```Shell<br>":[112,130,145,164,217,247,267,280,308,320,331],"$":[113,117,131,146,150,155,165,170,177,181,186,192,199,202,205,218,223,230,248,253,257,259,268,272,281,286,289,292,296,300,309,332,335,340,346,352,357],"sudo":[114,118,151,156,171,187,206,219,249,310,321,336,341,347,353,358],"apt-get":[115,119,172,188,220,282,354],"update<br>":[116,355],"install":[120,133,153,158,173,179,183,189,221,251,270,283,298,360],"python3-pip<br>":[121],"Python":[125],"dependencies":[126],"-":[127,142,161,245,264,277,306],"Intel":[128],"(nuc)<br>":[129],"pip3":[132,152,157,178,182,297],"torch":[134],"torchvision":[135],"keras":[136],"tensorflow":[137],"ray[rllib]":[138],"pandas":[139],"tensorflow_datasets<br>":[140],"ARM":[143],"(RaspberryPi)<br>":[144],"git":[147,193],"clone":[148,194],"https://github.com/Ben-Faessler/Python3-Wheels.git<br>":[149],"Python3-Wheels/pytorch/torch-1.5.0a0+4ff3872-cp37-cp37m-linux_armv7l.whl<br>":[154],"Python3-Wheels/torchvision/torchvision-0.6.0a0+b68adcf-cp37-cp37m-linux_armv7l.whl<br>":[159],"Jetson":[162],"Nano<br>":[163],"wget":[166,333],"https://nvidia.box.com/shared/static/wa34qwrwtk9njtyarwt5nvo6imenfy26.whl":[167],"-O":[168],"torch-1.7.0-cp36-cp36m-linux_aarch64.whl<br>":[169,185],"python3-pip":[174],"libopenblas-base":[175],"libopenmpi-dev<br>":[176],"Cython<br>":[180],"numpy":[184],"libjpeg-dev":[190],"zlib1g-dev<br>":[191],"--branch":[195],"v0.8.1":[196],"https://github.com/pytorch/vision":[197],"torchvision<br>":[198,201],"cd":[200],"export":[203],"BUILD_VERSION=0.8.1<br>":[204],"python3":[207,301],"setup.py":[208],"install<br>":[209],"cpupower":[213],"(for":[214],"frequency":[215,228],"scaling)<br>":[216],"linux-cpupower<br>":[222],"cpufreq-info":[224],"get":[226],"cpu":[227,238],"information<br>":[229],"cpufreq-set":[231],"-u":[232],"min":[233],"-d":[234],"max":[235],"set":[237],"frequency<br>":[239],"Power":[242],"Measurements":[243],"Setup":[244],"InfluxDB":[246],"apt":[250,359],"influxdb<br>":[252,271,299],"service":[254],"influxdb":[255],"start<br>":[256],"influx<br>":[258],"CREATE":[260],"DATABASE":[261],"power<br>":[262],"PowerSpy":[265],"Power<br>":[266,279],"pip":[269],"python":[273],"powerspy.py":[274],"MAC<br>":[275],"POE":[278],"python-bluez":[284],"bluez<br>":[285],"hcitool":[287,290],"scan<br>":[288],"dev<br>":[291],"systemctl":[293],"restart":[294],"bluetooth.service<br>":[295],"poe_power.py":[302],"-p":[303],"PORT<br>":[304],"RAPL":[307],"chmod":[311,322],"-R":[312,323],"a+r":[313,324],"/sys/class/powercap/intel-rapl<br>":[314,325],"Change":[317],"rapl":[318],"permissions":[319],"cuda":[329],"dependencies<br>":[330],"https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin<br>":[334],"mv":[337],"cuda-ubuntu2004.pin":[338],"/etc/apt/preferences.d/cuda-repository-pin-600<br>":[339],"apt-key":[342],"adv":[343],"--fetch-keys":[344],"https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub<br>":[345],"add-apt-repository":[348],"\"deb":[349],"https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/":[350],"/\"<br>":[351],"$<br>":[356],"nvidia-cuda-toolkit":[361]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
