{"id":"https://openalex.org/W2771821147","doi":"https://doi.org/10.18420/in2017_256","title":"Energy Efficiency of a Low Power Hardware Cluster for High Performance Computing","display_name":"Energy Efficiency of a Low Power Hardware Cluster for High Performance Computing","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2771821147","doi":"https://doi.org/10.18420/in2017_256","mag":"2771821147"},"language":"en","primary_location":{"id":"doi:10.18420/in2017_256","is_oa":true,"landing_page_url":"https://doi.org/10.18420/in2017_256","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.18420/in2017_256","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103788846","display_name":"Michael Dominik G\u00f6rtz","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"G\u00f6rtz, Michael Dominik","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103230324","display_name":"Roland K\u00fchn","orcid":"https://orcid.org/0000-0002-1485-140X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K\u00fchn, Roland","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075593168","display_name":"Oliver Zietek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zietek, Oliver","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002920012","display_name":"Roman Bernhard","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bernhard, Roman","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051690175","display_name":"Michael Bulinski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bulinski, Michael","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074285219","display_name":"Dennis Duman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duman, Dennis","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066526742","display_name":"Benedikt Freisen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Freisen, Benedikt","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002351556","display_name":"Uwe Jentsch","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jentsch, Uwe","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073615378","display_name":"Tobias Kl\u00f6ppner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kl\u00f6ppner, Tobias","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102294897","display_name":"Dragana Popovic","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Popovic, Dragana","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5102829626","display_name":"Lili Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Lili","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5103788846"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4506,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63662341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2537","last_page":"2548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9883000254631042,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9883000254631042,"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"}},{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9634000062942505,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.942300021648407,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.6236670017242432},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.49339309334754944},{"id":"https://openalex.org/keywords/computer-cluster","display_name":"Computer cluster","score":0.4836234152317047},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4587562084197998},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4455896019935608},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.41761842370033264},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3432376980781555},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3397535979747772},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.3098980188369751},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2015916407108307},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.16387569904327393},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12359863519668579}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6236670017242432},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.49339309334754944},{"id":"https://openalex.org/C29140674","wikidata":"https://www.wikidata.org/wiki/Q206637","display_name":"Computer cluster","level":2,"score":0.4836234152317047},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4587562084197998},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4455896019935608},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.41761842370033264},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3432376980781555},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3397535979747772},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.3098980188369751},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2015916407108307},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.16387569904327393},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12359863519668579},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18420/in2017_256","is_oa":true,"landing_page_url":"https://doi.org/10.18420/in2017_256","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:2771821147","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/gi/gi2017.html#GortzKZBBDFJKPX17","pdf_url":null,"source":{"id":"https://openalex.org/S4306511462","display_name":"GI-Jahrestagung","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"GI-Jahrestagung","raw_type":null}],"best_oa_location":{"id":"doi:10.18420/in2017_256","is_oa":true,"landing_page_url":"https://doi.org/10.18420/in2017_256","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3203732951","https://openalex.org/W2124180428","https://openalex.org/W2135613010","https://openalex.org/W2143141632","https://openalex.org/W2048959408","https://openalex.org/W2395287324","https://openalex.org/W2038387802","https://openalex.org/W2789836338","https://openalex.org/W2139408975","https://openalex.org/W3151506789","https://openalex.org/W1903167607","https://openalex.org/W2215849121","https://openalex.org/W2010393801","https://openalex.org/W2054782014","https://openalex.org/W2064942989","https://openalex.org/W2151587416","https://openalex.org/W2155945196","https://openalex.org/W2577073187","https://openalex.org/W2160804075","https://openalex.org/W2039018000"],"abstract_inverted_index":{"High":[0],"performance":[1,59,157,179],"computing":[2],"has":[3],"become":[4,151],"more":[5,7],"and":[6,91,97,101,166,180],"limited":[8,41],"by":[9,74],"the":[10,40,62,116,177],"hardware\u2019s":[11,178],"energy":[12,42,63,95,124],"consumption,":[13],"rendering":[14],"it":[15],"increasingly":[16],"difficult":[17],"to":[18,38,46,121,133,140],"build":[19],"even":[20],"faster":[21],"compute":[22],"clusters,":[23],"while":[24],"modern":[25,66,146],"low":[26,48,67,77,147],"power":[27,49,68,78,148],"hardware":[28],"is":[29],"making":[30],"great":[31],"improvements,":[32],"regarding":[33,176],"its":[34,93],"performance.":[35],"In":[36],"order":[37],"overcome":[39],"density,":[43],"we":[44,168],"propose":[45],"use":[47],"System":[50],"on":[51,81],"a":[52,76,152],"Chip":[53],"(SoC)":[54],"devices,":[55],"instead":[56],"of":[57,65,138],"high":[58,156],"CPUs,":[60],"exploiting":[61],"efficiency":[64,98,137],"processors.":[69],"We":[70],"evaluated":[71],"our":[72,112],"suggestion":[73],"building":[75],"cluster":[79,113],"based":[80],"40":[82],"single":[83],"board":[84],"computers":[85],"with":[86,104,159],"ARM":[87],"Cortex-A53":[88],"quad-core":[89],"SoCs":[90],"measuring":[92],"performance,":[94],"consumption":[96],"using":[99,119],"synthetic":[100],"application":[102],"benchmarks":[103],"different":[105],"workload":[106],"types.":[107],"Our":[108,142],"tests":[109],"demonstrated":[110],"that":[111,145,167],"could":[114],"perform":[115],"given":[117],"benchmarks,":[118],"up":[120,139],"70%":[122],"less":[123],"than":[125],"an":[126,134],"Intel-based":[127],"reference":[128],"server":[129],"system,":[130],"which":[131],"lead":[132],"increase":[135],"in":[136,173],"425%.":[141],"evaluation":[143],"showed":[144],"processors":[149],"have":[150],"good":[153],"alternative":[154],"for":[155],"computing,":[158],"large":[160],"workloads":[161],"profiting":[162],"from":[163],"massive":[164],"parallelization":[165],"can":[169],"expect":[170],"further":[171],"improvements":[172],"this":[174],"field,":[175],"efficiency.":[181]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}