Autor: |
José María Torralba Martínez, Giovanni Agosta, Anna Pupykina, Daniel Hofman, Tomas Picornell, Marina Zapater, Leon Dragić, Ermis Papastefanakis, Gerald Guillaume, Igor Piljić, Jose Flich, Simone Libutti, Alessandro Cilardo, Edoardo Fusella, Mirko Gagliardi, Michele Zanella, Davide Zoni, Alexandre Dray, Ynse Hoornenborg, Bruno Maitre, Hrvoje Mlinarić, Carlo Brandolese, Philipp Ampletzer, Arman Iranfar, Mario Kovač, Federico Reghenzani, Giuseppe Massari, Isabelle Staub, Rafael Tornero, William Fornaciari, Etienne Cappe, Alen Duspara, Koen Meinds, David Alonso |
Jazyk: |
angličtina |
Rok vydání: |
2018 |
Předmět: |
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Zdroj: |
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname Microprocessors and Microsystems |
Popis: |
[EN] The Horizon 2020 MANGO project aims at exploring deeply heterogeneous accelerators for use in High-Performance Computing systems running multiple applications with different Quality of Service (QoS) levels. The main goal of the project is to exploit customization to adapt computing resources to reach the desired QoS. For this purpose, it explores different but interrelated mechanisms across the architecture and system software. In particular, in this paper we focus on the runtime resource management, the thermal management, and support provided for parallel programming, as well as introducing three applications on which the project foreground will be validated. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 671668. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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