{"dcterms:modified":"2025-07-23","dcterms:creator":"bonndata","@type":"ore:ResourceMap","schema:additionalType":"Dataverse OREMap Format v1.0.1","dvcore:generatedBy":{"@type":"schema:SoftwareApplication","schema:name":"Dataverse","schema:version":"6.6 build 1829-192cdc4","schema:url":"https://github.com/iqss/dataverse"},"@id":"https://bonndata.uni-bonn.de/catalog/datasets/10.60507/FK2/1DGUVE/exportformat/oai-ore.json","ore:describes":{"citation:subjectRefinement":{"subjectRefinementValue":"combinatorial optimization"},"citation:datasetContact":{"citation:datasetContactName":"Held, Stephan","citation:datasetContactAffiliation":"University of Bonn","citation:datasetContactEmail":"held@dm.uni-bonn.de"},"author":{"citation:authorName":"Held, Stephan","citation:authorAffiliation":"University of Bonn","authorIdentifierScheme":"ORCID","authorIdentifier":{"personName":"Held, Stephan","@id":"https://orcid.org/0000-0003-2188-1559","scheme":"ORCID","@type":"https://schema.org/Person"}},"publication":{"publicationCitation":"Georgiadis, L., Goldberg, A. V., Tarjan, R. E., & Werneck, R. F.\n\"An experimental study of minimum mean cycle algorithms\",\nin 2009 Proceedings of the Eleventh Workshop on Algorithm Engineering and Experiments (ALENEX), pp. 1-13,\nSIAM.","publicationIDType":"isbn","publicationIDNumber":"978-0-89871-930-7","publicationURL":"https://epubs.siam.org/doi/abs/10.1137/1.9781611972894.1"},"citation:dsDescription":{"citation:dsDescriptionValue":"This data set contains some large real-world instances of the minimum mean cycle problem.\nThey are reported as the bonn01 to bonn09 instances in the paper:\n<br>\n<br>\nGeorgiadis, L., Goldberg, A. V., Tarjan, R. E., & Werneck, R. F.\n\"An experimental study of minimum mean cycle algorithms\",\nin 2009 Proceedings of the Eleventh Workshop on Algorithm Engineering and Experiments (ALENEX), pp. 1–13,\nSIAM.\n<br>\n<br>\nThe instances arise in  clock skew scheduling in chip design, e.g. see\n<br>\n<br>\nHeld, S., Korte, B., Rautenbach, D. and Vygen, J.\n\"Combinatorial optimization in VLSI design. Combinatorial Optimization\",\nin Combinatorial Optimization, NATO Science for Peace and Security Series - D: Information and Communication Security, pp. 33–96, 2011.\n<br>\n<br>\nThe clock skew scheduling problem in chip design is, given a directed graph G with edge delays d:E(G)-> R,\nfind a minimum cycle time T and arrival times (a schedule) a: V(G) -> R such that\n<br>\n<br>\n  a(v) + d(v,w) <= a(w) + T for all (v,w) in E(G).\n<br>\n<br>\nG is called a latch graph. The nodes represent latches and registers, and the edges represent the longest signal paths between registers.\n<br>\nThe problem of minimizing T is equivalent to maximizing the worst slack min{s(v,w) := a(w) + T - a(v) - d(v,w) | (v,w) in E(G)} for a fixed cycle time T.\n\n<br>\n\nThe instances provided in the tar file below consist of directed graphs with edge costs c(v,w) = T - d(v,w),\ni.e. edge slacks w.r.t. a zero-skew schedule where a = 0.\nThe maximum achievable worst slack by varying the schedule 'a' equals the value of a minimum mean cycle in (G,c).\nInstance sizes range from 70346 nodes and 898220 edges to 1065274 nodes and 104340248 edges.\nOther instances are very dense, e.g. 5361 nodes and 4169878 edges.\n<br>\nNote that the instances may not be strongly connected or even connected.\nFormat: Ignore empty lines and lines starting with '#', then:\n1st line: number_of_nodes number_of_edges\nnext lines: from_node to_node edge_cost (i.e., zero skew slack)","citation:dsDescriptionDate":"2024-02-27"},"citation:freeKeyword":{"citation:freeKeywordValue":"mininum mean-cycle instances"},"title":"Minimum Mean Cycle Instances","subject":["Engineering","Mathematical Sciences"],"citation:depositor":"Held, Stephan","dateOfDeposit":"2024-02-27","@id":"https://doi.org/10.60507/FK2/1DGUVE","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.0","schema:name":"Minimum Mean Cycle Instances","schema:dateModified":"Mon Mar 04 08:54:35 CET 2024","schema:datePublished":"2024-03-04","schema:creativeWorkStatus":"RELEASED","schema:license":"http://creativecommons.org/publicdomain/zero/1.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":true},"schema:includedInDataCatalog":"bonndata","schema:isPartOf":{"schema:name":"Bonn Mathematics","@id":"https://bonndata.uni-bonn.de/dataverse/math","schema:description":"Research data from all areas of <a href=\"https://www.mathematics.uni-bonn.de/en\">Bonn mathematics</a>.\n","schema:isPartOf":{"schema:name":"bonndata","@id":"https://bonndata.uni-bonn.de/dataverse/bonndata-root","schema:description":"<h3>bonndata is the institutional, cross-disciplinary research data repository for the publication of research data for all researchers at the University of Bonn.\n<br> bonndata is provided by the <a href=\"https://www.hrz.uni-bonn.de/de\">University IT and Data Center </a> and maintained by the <a href=\"https://www.forschungsdaten.uni-bonn.de/de\">Research Data Service Center</a>.\n<br><hr>\nReady to get started with bonndata? \n<br>\nHave a look at our <a href=\"https://confluence.team.uni-bonn.de/x/-1dqBg\">User Guide</a> to get to know the bonndata workflow, tips and tricks!\n<br><hr>\nQuestions? Need assistance? \n<br>\nGet in touch: <b> researchdata@uni-bonn.de</h3>\n<br><hr>"}},"schema:inLanguage":"en","ore:aggregates":[{"schema:name":"Held_MMC_Readme.txt","dvcore:restricted":false,"schema:version":2,"dvcore:datasetVersionId":215,"@id":"doi:10.60507/FK2/1DGUVE/IYUU0X","schema:sameAs":"https://bonndata.uni-bonn.de/catalog/downloads/4314/Held_MMC_Readme.txt","@type":"ore:AggregatedResource","schema:fileFormat":"text/plain","dvcore:filesize":3854,"dvcore:storageIdentifier":"file://18df0232287-4b25821bfb40","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"cb88362d49622f3677adc43b03cf9f7f"}},{"schema:name":"cyopt_instances.tar","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":215,"@id":"doi:10.60507/FK2/1DGUVE/GM5JWZ","schema:sameAs":"https://bonndata.uni-bonn.de/catalog/downloads/4315/cyopt_instances.tar","@type":"ore:AggregatedResource","schema:fileFormat":"application/x-tar","dvcore:filesize":673904640,"dvcore:storageIdentifier":"file://18df023f1b0-70da123b86c3","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"204f7799f46c32af563064ea6325a8e2"}}],"schema:hasPart":["doi:10.60507/FK2/1DGUVE/IYUU0X","doi:10.60507/FK2/1DGUVE/GM5JWZ"]},"@context":{"author":"http://purl.org/dc/terms/creator","authorIdentifier":"http://purl.org/spar/datacite/AgentIdentifier","authorIdentifierScheme":"http://purl.org/spar/datacite/AgentIdentifierScheme","citation":"https://dataverse.org/schema/citation/","dateOfDeposit":"http://purl.org/dc/terms/dateSubmitted","dcterms":"http://purl.org/dc/terms/","dvcore":"https://dataverse.org/schema/core#","ore":"http://www.openarchives.org/ore/terms/","personName":"https://schema.org/name","publication":"http://purl.org/dc/terms/isReferencedBy","publicationCitation":"http://purl.org/dc/terms/bibliographicCitation","publicationIDNumber":"http://purl.org/spar/datacite/ResourceIdentifier","publicationIDType":"http://purl.org/spar/datacite/ResourceIdentifierScheme","publicationURL":"https://schema.org/distribution","schema":"http://schema.org/","scheme":"http://www.w3.org/2004/02/skos/core#inScheme","subject":"http://purl.org/dc/terms/subject","subjectRefinementValue":"http://purl.org/dc/terms/subject","title":"http://purl.org/dc/terms/title"}}