CORDIS
EU research results

CORDIS

English EN
Low Energy Toolset for Heterogeneous Computing

Low Energy Toolset for Heterogeneous Computing

Objective

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.
Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinator

BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION

Address

Calle Jordi Girona 31
08034 Barcelona

Spain

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 1 088 828,75

Participants (9)

Sort alphabetically

Sort by EU Contribution

Expand all

UNIVERSITAET BIELEFELD

Germany

EU Contribution

€ 654 187,50

UNIVERSITE DE NEUCHATEL

Switzerland

EU Contribution

€ 452 125

CHALMERS TEKNISKA HOEGSKOLA AB

Sweden

EU Contribution

€ 654 166,25

MACHINE INTELLIGENCE SWEDEN AB

Sweden

EU Contribution

€ 177 750

TECHNISCHE UNIVERSITAET DRESDEN

Germany

EU Contribution

€ 431 125

CHRISTMANN INFORMATIONSTECHNIK + MEDIEN GMBH & CO KG

Germany

EU Contribution

€ 809 750

HELMHOLTZ-ZENTRUM FUR INFEKTIONSFORSCHUNG GMBH

Germany

EU Contribution

€ 208 250

TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY

Israel

EU Contribution

€ 452 750

MAXELER TECHNOLOGIES LIMITED

United Kingdom

EU Contribution

€ 585 250

Project information

Grant agreement ID: 780681

Status

Ongoing project

  • Start date

    1 December 2017

  • End date

    30 November 2020

Funded under:

H2020-EU.2.1.1.

  • Overall budget:

    € 5 514 182,50

  • EU contribution

    € 5 514 182,50

Coordinated by:

BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION

Spain