000267853 001__ 267853
000267853 005__ 20190812204805.0
000267853 037__ $$aCONF
000267853 245__ $$aA Machine Learning-Based Framework for Throughput Estimation of Time-Varying Applications in Multi-Core Servers
000267853 260__ $$c2019
000267853 269__ $$a2019
000267853 300__ $$a6
000267853 336__ $$aConference Papers
000267853 700__ $$0249859$$aIranfar, Arman$$g267524
000267853 700__ $$aSilva De Souza, Wellington
000267853 700__ $$0250076$$aZapater Sancho, Marina$$g264565
000267853 700__ $$aOlcoz, Katzalin
000267853 700__ $$aXavier de Souza, Samuel
000267853 700__ $$0240268$$aAtienza Alonso, David$$g169199
000267853 7112_ $$a27th IFIP/IEEE International Conference on Very Large Scale Integration$$cCuzco, Peru$$dOctober 6-9, 2019
000267853 8560_ $$farman.iranfar@epfl.ch
000267853 8564_ $$uhttps://infoscience.epfl.ch/record/267853/files/VLSI_SoC_2019_Arman%281%29.pdf$$zPREPRINT$$s470376
000267853 909C0 $$mhomeira.salimi@epfl.ch$$mdavid.atienza@epfl.ch$$0252050$$zMarselli, Béatrice$$xU11977$$pESL
000267853 909CO $$pconf$$pSTI$$ooai:infoscience.epfl.ch:267853
000267853 960__ $$aarman.iranfar@epfl.ch
000267853 961__ $$afantin.reichler@epfl.ch
000267853 973__ $$aEPFL$$rREVIEWED
000267853 980__ $$aCONF
000267853 981__ $$aoverwrite