Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312609863> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W4312609863 endingPage "67" @default.
- W4312609863 startingPage "51" @default.
- W4312609863 abstract "CPU-GPU heterogeneous architectures are now commonly used in a wide variety of computing systems from mobile devices to supercomputers. Maximizing the throughput for multi-programmed workloads on such systems is indispensable as one single program typically cannot fully exploit all avaiable resources. At the same time, power consumption is a key issue and often requires optimizing power allocations to the CPU and GPU while enforcing a total power constraint, in particular when the power/thermal requirements are strict. The result is a system-wide optimization problem with several knobs. In particular we focus on (1) co-scheduling decisions, i.e., selecting programs to co-locate in a space sharing manner; (2) resource partitioning on both CPUs and GPUs; and (3) power capping on both CPUs and GPUs. We solve this problem using predictive performance modeling using machine learning in order to coordinately optimize the above knob setups. Our experiential results using a real system show that our approach achieves up to 67% of speedup compared to a time-sharing-based scheduling with a naive power capping that evenly distributes power budgets across components." @default.
- W4312609863 created "2023-01-05" @default.
- W4312609863 creator A5000097979 @default.
- W4312609863 creator A5043502259 @default.
- W4312609863 creator A5045289712 @default.
- W4312609863 creator A5087319091 @default.
- W4312609863 date "2022-01-01" @default.
- W4312609863 modified "2023-09-30" @default.
- W4312609863 title "Orchestrated Co-scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning" @default.
- W4312609863 cites W1574244727 @default.
- W4312609863 cites W1978969737 @default.
- W4312609863 cites W2019675177 @default.
- W4312609863 cites W2027177485 @default.
- W4312609863 cites W2030553163 @default.
- W4312609863 cites W2054604581 @default.
- W4312609863 cites W2080592089 @default.
- W4312609863 cites W2086036443 @default.
- W4312609863 cites W2132729131 @default.
- W4312609863 cites W2134779330 @default.
- W4312609863 cites W2491385430 @default.
- W4312609863 cites W2541326062 @default.
- W4312609863 cites W2725660063 @default.
- W4312609863 cites W2900365206 @default.
- W4312609863 cites W2953736860 @default.
- W4312609863 cites W3035490917 @default.
- W4312609863 cites W3137917418 @default.
- W4312609863 cites W4240865464 @default.
- W4312609863 cites W4242795229 @default.
- W4312609863 cites W4316252402 @default.
- W4312609863 doi "https://doi.org/10.1007/978-3-031-21867-5_4" @default.
- W4312609863 hasPublicationYear "2022" @default.
- W4312609863 type Work @default.
- W4312609863 citedByCount "1" @default.
- W4312609863 countsByYear W43126098632023 @default.
- W4312609863 crossrefType "book-chapter" @default.
- W4312609863 hasAuthorship W4312609863A5000097979 @default.
- W4312609863 hasAuthorship W4312609863A5043502259 @default.
- W4312609863 hasAuthorship W4312609863A5045289712 @default.
- W4312609863 hasAuthorship W4312609863A5087319091 @default.
- W4312609863 hasConcept C111919701 @default.
- W4312609863 hasConcept C120314980 @default.
- W4312609863 hasConcept C121332964 @default.
- W4312609863 hasConcept C149635348 @default.
- W4312609863 hasConcept C162324750 @default.
- W4312609863 hasConcept C163258240 @default.
- W4312609863 hasConcept C165696696 @default.
- W4312609863 hasConcept C172430144 @default.
- W4312609863 hasConcept C173608175 @default.
- W4312609863 hasConcept C206729178 @default.
- W4312609863 hasConcept C21547014 @default.
- W4312609863 hasConcept C2984118289 @default.
- W4312609863 hasConcept C38652104 @default.
- W4312609863 hasConcept C41008148 @default.
- W4312609863 hasConcept C49154492 @default.
- W4312609863 hasConcept C51332947 @default.
- W4312609863 hasConcept C62520636 @default.
- W4312609863 hasConcept C68339613 @default.
- W4312609863 hasConceptScore W4312609863C111919701 @default.
- W4312609863 hasConceptScore W4312609863C120314980 @default.
- W4312609863 hasConceptScore W4312609863C121332964 @default.
- W4312609863 hasConceptScore W4312609863C149635348 @default.
- W4312609863 hasConceptScore W4312609863C162324750 @default.
- W4312609863 hasConceptScore W4312609863C163258240 @default.
- W4312609863 hasConceptScore W4312609863C165696696 @default.
- W4312609863 hasConceptScore W4312609863C172430144 @default.
- W4312609863 hasConceptScore W4312609863C173608175 @default.
- W4312609863 hasConceptScore W4312609863C206729178 @default.
- W4312609863 hasConceptScore W4312609863C21547014 @default.
- W4312609863 hasConceptScore W4312609863C2984118289 @default.
- W4312609863 hasConceptScore W4312609863C38652104 @default.
- W4312609863 hasConceptScore W4312609863C41008148 @default.
- W4312609863 hasConceptScore W4312609863C49154492 @default.
- W4312609863 hasConceptScore W4312609863C51332947 @default.
- W4312609863 hasConceptScore W4312609863C62520636 @default.
- W4312609863 hasConceptScore W4312609863C68339613 @default.
- W4312609863 hasLocation W43126098631 @default.
- W4312609863 hasOpenAccess W4312609863 @default.
- W4312609863 hasPrimaryLocation W43126098631 @default.
- W4312609863 hasRelatedWork W1509211761 @default.
- W4312609863 hasRelatedWork W1531488649 @default.
- W4312609863 hasRelatedWork W1684152253 @default.
- W4312609863 hasRelatedWork W2074226157 @default.
- W4312609863 hasRelatedWork W2133693067 @default.
- W4312609863 hasRelatedWork W2391299576 @default.
- W4312609863 hasRelatedWork W2982246426 @default.
- W4312609863 hasRelatedWork W3037767301 @default.
- W4312609863 hasRelatedWork W3216598260 @default.
- W4312609863 hasRelatedWork W4226309051 @default.
- W4312609863 isParatext "false" @default.
- W4312609863 isRetracted "false" @default.
- W4312609863 workType "book-chapter" @default.