Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022705085> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2022705085 endingPage "21" @default.
- W2022705085 startingPage "1" @default.
- W2022705085 abstract "Modern network-on-chip (NoC) systems are required to handle complex runtime traffic patterns and unprecedented applications. Data traffics of these applications are difficult to fully comprehend at design time so as to optimize the network design. However, it has been discovered that the majority of dataflows in a network are dominated by less than 10% of the specific pathways. In this article, we introduce a method that is capable of identifying critical pathways in a network at runtime and can then dynamically reconfigure the network to optimize for network performance subject to the identified dominated flows. An online learning and analysis scheme is employed to quickly discover the emerging dominated traffic flows and provides a statistical traffic prediction using regression analysis. The architecture of a self-tuning network is also discussed which can be reconfigured by setting up the identified point-to-point paths for the dominance dataflows in large traffic volumes. The merits of this new approach are experimentally demonstrated using comprehensive NoC simulations. Compared to the conventional network architectures over a range of realistic applications, the proposed self-tuning network approach can effectively reduce the latency and power consumption by as much as 25% and 24%, respectively. We also evaluated the configuration time and additional hardware cost. This new approach demonstrates the capability of an adaptive NoC to handle more complex and dynamic applications." @default.
- W2022705085 created "2016-06-24" @default.
- W2022705085 creator A5010989172 @default.
- W2022705085 creator A5018814025 @default.
- W2022705085 creator A5029144194 @default.
- W2022705085 creator A5045326324 @default.
- W2022705085 creator A5063193249 @default.
- W2022705085 creator A5069124655 @default.
- W2022705085 creator A5091249691 @default.
- W2022705085 date "2014-01-01" @default.
- W2022705085 modified "2023-09-25" @default.
- W2022705085 title "On self-tuning networks-on-chip for dynamic network-flow dominance adaptation" @default.
- W2022705085 cites W1486034269 @default.
- W2022705085 cites W1986351297 @default.
- W2022705085 cites W2001505646 @default.
- W2022705085 cites W2009388815 @default.
- W2022705085 cites W2077505860 @default.
- W2022705085 cites W2088260668 @default.
- W2022705085 cites W2088702391 @default.
- W2022705085 cites W2091434413 @default.
- W2022705085 cites W2106537813 @default.
- W2022705085 cites W2111616126 @default.
- W2022705085 cites W2112753600 @default.
- W2022705085 cites W2119480056 @default.
- W2022705085 cites W2121732188 @default.
- W2022705085 cites W2145021036 @default.
- W2022705085 cites W2155240679 @default.
- W2022705085 cites W2163947402 @default.
- W2022705085 cites W2169875292 @default.
- W2022705085 cites W2170612559 @default.
- W2022705085 doi "https://doi.org/10.1145/2544375.2544393" @default.
- W2022705085 hasPublicationYear "2014" @default.
- W2022705085 type Work @default.
- W2022705085 sameAs 2022705085 @default.
- W2022705085 citedByCount "27" @default.
- W2022705085 countsByYear W20227050852013 @default.
- W2022705085 countsByYear W20227050852014 @default.
- W2022705085 countsByYear W20227050852015 @default.
- W2022705085 countsByYear W20227050852016 @default.
- W2022705085 countsByYear W20227050852017 @default.
- W2022705085 countsByYear W20227050852018 @default.
- W2022705085 countsByYear W20227050852019 @default.
- W2022705085 countsByYear W20227050852020 @default.
- W2022705085 countsByYear W20227050852021 @default.
- W2022705085 countsByYear W20227050852022 @default.
- W2022705085 crossrefType "journal-article" @default.
- W2022705085 hasAuthorship W2022705085A5010989172 @default.
- W2022705085 hasAuthorship W2022705085A5018814025 @default.
- W2022705085 hasAuthorship W2022705085A5029144194 @default.
- W2022705085 hasAuthorship W2022705085A5045326324 @default.
- W2022705085 hasAuthorship W2022705085A5063193249 @default.
- W2022705085 hasAuthorship W2022705085A5069124655 @default.
- W2022705085 hasAuthorship W2022705085A5091249691 @default.
- W2022705085 hasConcept C120314980 @default.
- W2022705085 hasConcept C128519102 @default.
- W2022705085 hasConcept C149635348 @default.
- W2022705085 hasConcept C193415008 @default.
- W2022705085 hasConcept C31258907 @default.
- W2022705085 hasConcept C41008148 @default.
- W2022705085 hasConcept C76155785 @default.
- W2022705085 hasConcept C82876162 @default.
- W2022705085 hasConceptScore W2022705085C120314980 @default.
- W2022705085 hasConceptScore W2022705085C128519102 @default.
- W2022705085 hasConceptScore W2022705085C149635348 @default.
- W2022705085 hasConceptScore W2022705085C193415008 @default.
- W2022705085 hasConceptScore W2022705085C31258907 @default.
- W2022705085 hasConceptScore W2022705085C41008148 @default.
- W2022705085 hasConceptScore W2022705085C76155785 @default.
- W2022705085 hasConceptScore W2022705085C82876162 @default.
- W2022705085 hasFunder F4320306076 @default.
- W2022705085 hasIssue "2s" @default.
- W2022705085 hasLocation W20227050851 @default.
- W2022705085 hasOpenAccess W2022705085 @default.
- W2022705085 hasPrimaryLocation W20227050851 @default.
- W2022705085 hasRelatedWork W14296039 @default.
- W2022705085 hasRelatedWork W1486948142 @default.
- W2022705085 hasRelatedWork W1566886392 @default.
- W2022705085 hasRelatedWork W1604200943 @default.
- W2022705085 hasRelatedWork W2107056648 @default.
- W2022705085 hasRelatedWork W2146381971 @default.
- W2022705085 hasRelatedWork W2183601056 @default.
- W2022705085 hasRelatedWork W2298102683 @default.
- W2022705085 hasRelatedWork W2353491313 @default.
- W2022705085 hasRelatedWork W2385763152 @default.
- W2022705085 hasVolume "13" @default.
- W2022705085 isParatext "false" @default.
- W2022705085 isRetracted "false" @default.
- W2022705085 magId "2022705085" @default.
- W2022705085 workType "article" @default.