Matches in SemOpenAlex for { <https://semopenalex.org/work/W2968892132> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2968892132 endingPage "715" @default.
- W2968892132 startingPage "702" @default.
- W2968892132 abstract "Heterogeneous-ISA multi-core architectures have emerged as a promising design paradigm given the ever-increasing demands on single threaded performance. Such architectures comprise multiple cores that differ not just in micro-architectural parameters (e.g., fetch width, ROB size) but also in their Instruction Set Architectures (ISAs). These architectures extract previously latent performance gains by executing different phases of the program on the core (and ISA) best suited to it, as opposed to executing the entire program on a single ISA. In such a computing paradigm, maximum performance is only extracted when we ensure that at every point in the program’s execution, the program runs on the core best suited to it. In this work, we propose a migration framework that practically and accurately decides when to migrate the program across different cores (and ISAs) to extract maximum performance gains. Under the covers, this framework combines a regression based performance modelling technique with a greedy scheduling algorithm. Our performance modelling technique leverages hardware performance counters prevalent in all major processors today to accurately estimate the performance of the program on different ISAs to within an error of 6%. Putting it together with our greedy scheduler enables our framework to achieve single thread performance speedups of 29.6% with respect to a baseline single ISA heterogeneous architecture." @default.
- W2968892132 created "2019-08-22" @default.
- W2968892132 creator A5000529247 @default.
- W2968892132 creator A5025355113 @default.
- W2968892132 creator A5064947330 @default.
- W2968892132 date "2019-01-01" @default.
- W2968892132 modified "2023-09-26" @default.
- W2968892132 title "Performance Modelling and Dynamic Scheduling on Heterogeneous-ISA Multi-core Architectures" @default.
- W2968892132 cites W2013281054 @default.
- W2968892132 cites W2017574663 @default.
- W2968892132 cites W2036853599 @default.
- W2968892132 cites W2058315483 @default.
- W2968892132 cites W2138783391 @default.
- W2968892132 cites W2147657366 @default.
- W2968892132 cites W2170382128 @default.
- W2968892132 cites W2569126118 @default.
- W2968892132 cites W2615327419 @default.
- W2968892132 cites W4232200297 @default.
- W2968892132 cites W4237877708 @default.
- W2968892132 cites W4244536239 @default.
- W2968892132 cites W4251038806 @default.
- W2968892132 doi "https://doi.org/10.1007/978-981-32-9767-8_58" @default.
- W2968892132 hasPublicationYear "2019" @default.
- W2968892132 type Work @default.
- W2968892132 sameAs 2968892132 @default.
- W2968892132 citedByCount "2" @default.
- W2968892132 countsByYear W29688921322021 @default.
- W2968892132 countsByYear W29688921322022 @default.
- W2968892132 crossrefType "book-chapter" @default.
- W2968892132 hasAuthorship W2968892132A5000529247 @default.
- W2968892132 hasAuthorship W2968892132A5025355113 @default.
- W2968892132 hasAuthorship W2968892132A5064947330 @default.
- W2968892132 hasConcept C111919701 @default.
- W2968892132 hasConcept C118524514 @default.
- W2968892132 hasConcept C120314980 @default.
- W2968892132 hasConcept C123657996 @default.
- W2968892132 hasConcept C138101251 @default.
- W2968892132 hasConcept C142362112 @default.
- W2968892132 hasConcept C153349607 @default.
- W2968892132 hasConcept C162324750 @default.
- W2968892132 hasConcept C173608175 @default.
- W2968892132 hasConcept C202491316 @default.
- W2968892132 hasConcept C206729178 @default.
- W2968892132 hasConcept C21547014 @default.
- W2968892132 hasConcept C2778915421 @default.
- W2968892132 hasConcept C3020431745 @default.
- W2968892132 hasConcept C41008148 @default.
- W2968892132 hasConcept C78766204 @default.
- W2968892132 hasConceptScore W2968892132C111919701 @default.
- W2968892132 hasConceptScore W2968892132C118524514 @default.
- W2968892132 hasConceptScore W2968892132C120314980 @default.
- W2968892132 hasConceptScore W2968892132C123657996 @default.
- W2968892132 hasConceptScore W2968892132C138101251 @default.
- W2968892132 hasConceptScore W2968892132C142362112 @default.
- W2968892132 hasConceptScore W2968892132C153349607 @default.
- W2968892132 hasConceptScore W2968892132C162324750 @default.
- W2968892132 hasConceptScore W2968892132C173608175 @default.
- W2968892132 hasConceptScore W2968892132C202491316 @default.
- W2968892132 hasConceptScore W2968892132C206729178 @default.
- W2968892132 hasConceptScore W2968892132C21547014 @default.
- W2968892132 hasConceptScore W2968892132C2778915421 @default.
- W2968892132 hasConceptScore W2968892132C3020431745 @default.
- W2968892132 hasConceptScore W2968892132C41008148 @default.
- W2968892132 hasConceptScore W2968892132C78766204 @default.
- W2968892132 hasLocation W29688921321 @default.
- W2968892132 hasOpenAccess W2968892132 @default.
- W2968892132 hasPrimaryLocation W29688921321 @default.
- W2968892132 hasRelatedWork W1599003070 @default.
- W2968892132 hasRelatedWork W2020450803 @default.
- W2968892132 hasRelatedWork W2030794608 @default.
- W2968892132 hasRelatedWork W2078336447 @default.
- W2968892132 hasRelatedWork W2170268965 @default.
- W2968892132 hasRelatedWork W3036939780 @default.
- W2968892132 hasRelatedWork W3092250248 @default.
- W2968892132 hasRelatedWork W4242992916 @default.
- W2968892132 hasRelatedWork W4254100245 @default.
- W2968892132 hasRelatedWork W4302771143 @default.
- W2968892132 isParatext "false" @default.
- W2968892132 isRetracted "false" @default.
- W2968892132 magId "2968892132" @default.
- W2968892132 workType "book-chapter" @default.