LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing
Paper in proceeding, 2020

The LEGaTO project leverages task-based programming models to provide a software ecosystem for Made in-Europe heterogeneous hardware composed of CPUs, GPUs, FPGAs and dataflow engines. The aim is to attain one order of magnitude energy savings from the edge to the converged cloud/HPC, balanced with the security and resilience challenges. LEGaTO is an ongoing three-year EU H2020 project started in December 2017.

Author

B. Salami

Barcelona Supercomputing Center (BSC)

K. Parasyris

Barcelona Supercomputing Center (BSC)

A. Cristal

Barcelona Supercomputing Center (BSC)

O. Unsal

Barcelona Supercomputing Center (BSC)

X. Martorell

Barcelona Supercomputing Center (BSC)

P. Carpenter

Barcelona Supercomputing Center (BSC)

R. De La Cruz

Barcelona Supercomputing Center (BSC)

L. Bautista

Barcelona Supercomputing Center (BSC)

D. Jimenez

Barcelona Supercomputing Center (BSC)

C. Alvarez

Barcelona Supercomputing Center (BSC)

S. Nabavi

Barcelona Supercomputing Center (BSC)

S. Madonar

Barcelona Supercomputing Center (BSC)

Miquel Pericas

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Pedro Petersen Moura Trancoso

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Mustafa Abduljabbar

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Jing Chen

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Pirah Noor Soomro

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Madhavan Manivannan

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

M. Berge

Christmann Informationstechnik + Medien

S. Krupop

Christmann Informationstechnik + Medien

F. Klawonn

Helmholtz

Al Mekhlafi

Helmholtz

S. May

Helmholtz

T. Becker

Maxeler Technologies

G. Gaydadjiev

Maxeler Technologies

H. Salomonsson

Machine Intelligence Sweden

D. Dubhashi

Machine Intelligence Sweden

O. Port

Technion – Israel Institute of Technology

Y. Etsion

Technion – Israel Institute of Technology

Le Quoc Do

Technische Universität Dresden

Christof Fetzer

Technische Universität Dresden

M. Kaiser

Bielefeld University

N. Kucza

Bielefeld University

J. Hagemeyer

Bielefeld University

R. Griessl

Bielefeld University

L. Tigges

Bielefeld University

K. Mika

Bielefeld University

A. Huffmeier

Bielefeld University

M. Pasin

University of Neuchatel

V Schiavoni

University of Neuchatel

I Rocha

University of Neuchatel

C. Gottel

University of Neuchatel

P. Felber

University of Neuchatel

PROCEEDINGS OF THE 2020 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2020)

1530-1591 (ISSN)

169-174
978-3-9819263-4-7 (ISBN)

Design, Automation and Test in Europe Conference and Exhibition (DATE)
Grenoble, France,

Subject Categories

Software Engineering

Embedded Systems

Computer Systems

More information

Latest update

3/8/2021 1