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000843052 005__ 20230207130505.0
000843052 0247_ $$2CORDIS$$aG:(EU-Grant)780681$$d780681
000843052 0247_ $$2CORDIS$$aG:(EU-Call)H2020-ICT-2017-1$$dH2020-ICT-2017-1
000843052 0247_ $$2originalID$$acorda__h2020::780681
000843052 035__ $$aG:(EU-Grant)780681
000843052 150__ $$aLow Energy Toolset for Heterogeneous Computing$$y2017-12-01 - 2020-11-30
000843052 371__ $$aMACHINE INTELLIGENCE SWEDEN AB$$dSweden$$ehttp://www.machineintelligence.se/$$vCORDIS
000843052 371__ $$aChristmann Informationstechnik + Medien (Germany)$$bChristmann Informationstechnik + Medien (Germany)$$dGermany$$vCORDIS
000843052 371__ $$aBARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION$$bBSC$$dSpain$$ehttp://www.bsc.es$$vCORDIS
000843052 371__ $$aUniversity of Neuchâtel$$bUniversity of Neuchâtel$$dSwitzerland$$ehttp://www2.unine.ch/$$vCORDIS
000843052 371__ $$aTechnion – Israel Institute of Technology$$bTechnion – Israel Institute of Technology$$dIsrael$$ehttp://www.technion.ac.il/$$vCORDIS
000843052 371__ $$aBielefeld University$$bBielefeld University$$dGermany$$ehttp://www.uni-bielefeld.de/(en)/$$vCORDIS
000843052 371__ $$aChalmers University of Technology$$bChalmers University of Technology$$dSweden$$ehttp://www.chalmers.se/en/Pages/default.aspx$$vCORDIS
000843052 371__ $$aHelmholtz-Zentrum für Infektionsforschung GmbH$$bHelmholtz Centre for Infection Research$$dGermany$$ehttp://www.helmholtz-hzi.de/$$vCORDIS
000843052 371__ $$aMaxeler Technologies (United Kingdom)$$bMaxeler Technologies (United Kingdom)$$dUnited Kingdom$$vCORDIS
000843052 371__ $$aTU Dresden$$bTUD$$dGermany$$ehttp://tu-dresden.de/en$$vCORDIS
000843052 372__ $$aH2020-ICT-2017-1$$s2017-12-01$$t2020-11-30
000843052 450__ $$aLEGaTO$$wd$$y2017-12-01 - 2020-11-30
000843052 5101_ $$0I:(DE-588b)5098525-5$$2CORDIS$$aEuropean Union
000843052 680__ $$aRecently system integrators have dramatically increased their efforts in heterogeneous computing by integrating heterogeneous cores on die (ARM), utilizing general purpose GPUs (NVIDIA), combining CPUs and GPUs on same die (Intel, AMD), leveraging FPGAs (Altera, Xilinx), integrating CPUs with FPGAs (Xilinx), and coupling FPGAs and CPUs in the same package (IBM-Altera, Intel-Altera). Heterogeneity aims to solve the problems associated with the end of Moore´s Law by incorporating more specialized compute units in the system hardware and by utilizing the most efficient compute unit. However, while software-stack support for heterogeneity is relatively well developed for performance, software stack support for power- and energy-efficient computing it is severely lacking. Given that the ICT sector is responsible for 5% of global electricity consumption, software stack-support for energy-efficient heterogeneous computing is critical to the future growth of the ICT industry. The primary ambition of the LEGaTO project is to address this challenge by starting with a Made-in-Europe mature software stack, and by optimizing this stack to support energy-efficient computing on a commercial cutting-edge European-developed CPU-GPU-FPGA heterogeneous hardware substrate, which will lead to an order of magnitude increase in energy efficiency.
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