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LEGaTO SIGNED

Low Energy Toolset for Heterogeneous Computing

Total Cost €

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EC-Contrib. €

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Partnership

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Project "LEGaTO" data sheet

The following table provides information about the project.

Coordinator
BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION 

Organization address
address: Calle Jordi Girona 31
city: BARCELONA
postcode: 8034
website: www.bsc.es

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website https://legato-project.eu/
 Total cost 5˙514˙182 €
 EC max contribution 5˙514˙182 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2017-1
 Funding Scheme RIA
 Starting year 2017
 Duration (year-month-day) from 2017-12-01   to  2020-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION ES (BARCELONA) coordinator 1˙088˙828.00
2    CHRISTMANN INFORMATIONSTECHNIK + MEDIEN GMBH & CO KG DE (ILSEDE) participant 809˙750.00
3    UNIVERSITAET BIELEFELD DE (BIELEFELD) participant 654˙187.00
4    CHALMERS TEKNISKA HOEGSKOLA AB SE (GOETEBORG) participant 654˙166.00
5    MAXELER TECHNOLOGIES LIMITED UK (LONDON) participant 585˙250.00
6    TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY IL (HAIFA) participant 452˙750.00
7    UNIVERSITE DE NEUCHATEL CH (NEUCHATEL) participant 452˙125.00
8    TECHNISCHE UNIVERSITAET DRESDEN DE (DRESDEN) participant 431˙125.00
9    HELMHOLTZ-ZENTRUM FUR INFEKTIONSFORSCHUNG GMBH DE (BRAUNSCHWEIG) participant 208˙250.00
10    MACHINE INTELLIGENCE SWEDEN AB SE (GOTEBORG) participant 177˙750.00

Map

 Project 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.

 Deliverables

List of deliverables.
Project Management and Quality Guidelines Documents, reports 2019-08-16 10:29:27
Communication and Dissemination Plan Documents, reports 2019-08-16 10:29:27

Take a look to the deliverables list in detail:  detailed list of LEGaTO deliverables.

 Publications

year authors and title journal last update
List of publications.
2018 Rohlin, Agnes; Fahlgren, Henrik; Pericas, Miquel
High performance scheduling of mixed-mode DAGs on heterogeneous multicores
published pages: , ISSN: , DOI:
HIP3ES 2019: 7th International Workshop on High Performance Energy Efficient Embedded Systems 2019-09-04
2019 Julien Adam, Maxime Kermarquer, Jean-Baptiste Besnard, Leonardo Bautista-Gomez, Marc Pérache, Patrick Carribault, Julien Jaeger, Allen D. Malony, Sameer Shende
Checkpoint/restart approaches for a thread-based MPI runtime
published pages: 204-219, ISSN: 0167-8191, DOI: 10.1016/j.parco.2019.02.006
Parallel Computing 85 2019-09-04

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The information about "LEGATO" are provided by the European Opendata Portal: CORDIS opendata.

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