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024 7 _ |a corda__h2020::780681
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035 _ _ |a G:(EU-Grant)780681
150 _ _ |a Low Energy Toolset for Heterogeneous Computing
|y 2017-12-01 - 2020-11-30
371 _ _ |a MACHINE INTELLIGENCE SWEDEN AB
|d Sweden
|e http://www.machineintelligence.se/
|v CORDIS
371 _ _ |a Christmann Informationstechnik + Medien (Germany)
|b Christmann Informationstechnik + Medien (Germany)
|d Germany
|v CORDIS
371 _ _ |a BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION
|b BSC
|d Spain
|e http://www.bsc.es
|v CORDIS
371 _ _ |a University of Neuchâtel
|b University of Neuchâtel
|d Switzerland
|e http://www2.unine.ch/
|v CORDIS
371 _ _ |a Technion – Israel Institute of Technology
|b Technion – Israel Institute of Technology
|d Israel
|e http://www.technion.ac.il/
|v CORDIS
371 _ _ |a Bielefeld University
|b Bielefeld University
|d Germany
|e http://www.uni-bielefeld.de/(en)/
|v CORDIS
371 _ _ |a Chalmers University of Technology
|b Chalmers University of Technology
|d Sweden
|e http://www.chalmers.se/en/Pages/default.aspx
|v CORDIS
371 _ _ |a Helmholtz-Zentrum für Infektionsforschung GmbH
|b Helmholtz Centre for Infection Research
|d Germany
|e http://www.helmholtz-hzi.de/
|v CORDIS
371 _ _ |a Maxeler Technologies (United Kingdom)
|b Maxeler Technologies (United Kingdom)
|d United Kingdom
|v CORDIS
371 _ _ |a TU Dresden
|b TUD
|d Germany
|e http://tu-dresden.de/en
|v CORDIS
372 _ _ |a H2020-ICT-2017-1
|s 2017-12-01
|t 2020-11-30
450 _ _ |a LEGaTO
|w d
|y 2017-12-01 - 2020-11-30
510 1 _ |0 I:(DE-588b)5098525-5
|a European Union
|2 CORDIS
680 _ _ |a Recently 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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Marc 21