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LEGaTO: towards energy-efficient, secure, fault-tolerant toolset for heterogeneous computing

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LEGaTO Towards Energy-Efficient, Secure, Fault-tolerant.pdf (371,8Kb)
 
10.1145/3203217.3205339
 
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Cita com:
hdl:2117/120614

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Cristal Kestelman, AdriánMés informacióMés informació
Unsal, Osman S.
Martorell, Xavier
Carpenter, Paul Matthew
de la Cruz, Raul
Bautista Gomez, LeonardoMés informació
Jimenez, Daniel
Alvarez, Carlos
Salami, Behzad
Madonar, Sergi
Pericàs, Miquel
Trancoso, Pedro
von dem Berge, Micha
Billung-Meyer, Gunnar
Krupop, Stefan
Christmann, Wolfgang
Klawonn, Frank
Mihklafi, Amani
Becker, Tobias
Gaydadjiev, Georgi
Salomonsson, Hans
Dubhashi, Devdatt
Port, Oron
Etsion, Yoav
Nowack, Vesna
Fetzer, Christof
Hagemeyer, Jens
Jungeblut, Thorsten
Kucza, Nils
Kaiser, Martin
Porrmann, Mario
Pasin, Marcelo
Schiavoni, Valerio
Rocha, Isabelly
Göttel, Christian
Felber, Pascal
Document typeConference lecture
Defense date2018-05-08
PublisherAssociation for Computing Machinery (ACM)
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
ProjectLEGaTO - Low Energy Toolset for Heterogeneous Computing (EC-H2020-780681)
Abstract
LEGaTO is a three-year EU H2020 project which started in December 2017. The LEGaTO project will leverage 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.
CitationCristal, A. [et al.]. LEGaTO: towards energy-efficient, secure, fault-tolerant toolset for heterogeneous computing. A: "CF '18 Proceedings of the 15th ACM International Conference on Computing Frontiers". Association for Computing Machinery (ACM), 2018, p. 276-278. 
URIhttp://hdl.handle.net/2117/120614
DOI10.1145/3203217.3205339
ISBN978-1-4503-5761-6
Publisher versionhttps://dl.acm.org/citation.cfm?id=3203217.3205339
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