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.

MANGO: Exploring Manycore Architectures for Next-GeneratiOn HPC Systems

Agosta, Giovanni;Brandolese, Carlo;Cilardo, Alessandro;Fornaciari, William;Libutti, Simone;Massari, Giuseppe;Pupykina, Anna;Reghenzani, Federico;Zoni, Davide
2017

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.
Proceedings - 20th Euromicro Conference on Digital System Design, DSD 2017
978-1-5386-2146-2
978-1-5386-2145-5
978-1-5386-2147-9
Customization, Energy Efficiency, High Performance Computing, Computer Science Applications, Computer Vision and Pattern Recognition, Control and Systems Engineering, Hardware and Architecture
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1039409
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