LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing

Publikation: Vorabdruck/Dokumentation/BerichtVorabdruck (Preprint)

Beitragende

  • Behzad Salami - (Autor:in)
  • Konstantinos Parasyris - (Autor:in)
  • Adrián Cristal - (Autor:in)
  • Osman S. Unsal - (Autor:in)
  • Xavier Martorell - (Autor:in)
  • Paul Carpenter - (Autor:in)
  • Raúl de la Cruz - (Autor:in)
  • Leonardo Bautista-Gomez - (Autor:in)
  • Daniel A. Jiménez - (Autor:in)
  • Charlems Alvarez - (Autor:in)
  • Seyedbehzad Nabavi - (Autor:in)
  • Sergi Madonar - (Autor:in)
  • Miquel Pericàs - (Autor:in)
  • Pedro Trancoso - (Autor:in)
  • Majd Abduljabbar - (Autor:in)
  • Jing Chen - (Autor:in)
  • Pirah Noor Soomro - (Autor:in)
  • Madhavan Manivannan - (Autor:in)
  • Micha vor dem Berge - (Autor:in)
  • Stefan Krupop - (Autor:in)
  • Frank Klawonn - (Autor:in)
  • Al Mekhlafi - (Autor:in)
  • Sigrun May - (Autor:in)
  • Tobias Becker - , Professur für Computational Physics (Autor:in)
  • Georgi Gaydadjiev - (Autor:in)
  • D. Odman - (Autor:in)
  • Hans Salomonsson - (Autor:in)
  • Devdatt P. Dubhashi - (Autor:in)
  • Oron Port - (Autor:in)
  • Yoav Etsion - (Autor:in)
  • Do Le Quoc - , Professur für Systems Engineering (SE) (Autor:in)
  • Christof Fetzer - , Professur für Systems Engineering (SE) (Autor:in)
  • Martin Kaiser - , Professur für Anorganische Chemie (II) (AC2) (Autor:in)
  • Nils Kucza - (Autor:in)
  • Jens Hagemeyer - (Autor:in)
  • René Griessl - (Autor:in)
  • Lennart Tigges - (Autor:in)
  • Karaila Mika - (Autor:in)
  • A. Huffmeier - (Autor:in)
  • Th. Jungeblu - (Autor:in)
  • Marcelo Pasin - (Autor:in)
  • Valerio Schiavoni - (Autor:in)
  • Isabelly Rocha - (Autor:in)
  • Christian Göttel - (Autor:in)
  • Pascal Felber - (Autor:in)

Abstract

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.

Details

OriginalspracheEnglisch
Seitenumfang6
Bandabs/1912.01563
PublikationsstatusVeröffentlicht - 2019
No renderer: customAssociatesEventsRenderPortal,dk.atira.pure.api.shared.model.researchoutput.WorkingPaper

Externe IDs

Scopus 85087405747

Schlagworte

Forschungsprofillinien der TU Dresden

DFG-Fachsystematik nach Fachkollegium

Schlagwörter

  • Task analysis, Hardware, Field programmable gate arrays, Runtime, Europe, Security, Reliability, cloud computing, parallel processing, power aware computing, security of data, energy savings, security, three-year EU H2020 project, resilient toolset, heterogeneous computing, software ecosystem, dataflow engines, LEGaTO project, task-based programming models, made in-Europe heterogeneous hardware, CPU, GPU, FPGA, HPC