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.

Exploring Manycore Architectures for Next-Generation HPC Systems through the MANGO Approach

Giovanni Agosta;Carlo Brandolese;William Fornaciari;Simone Libutti;Giuseppe Massari;Anna Pupykina;Federico Reghenzani;Michele Zanella;Davide Zoni
2018

Abstract

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.
Multi many cores, run time management, power optimizaton, HPC
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1056335
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