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The MANGO FET-HPC Project: An Overview

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Oct 2015 Croatia, Croatia, Italy Publisher:IEEEJournal:2015 IEEE 18th International Conference on Computational Science and EngineeringFunded by:EC | MANGO

Authors: Flich, José; AGOSTA, GIOVANNI; Ampletzer, Philipp; Alonso, David Atienza; Cilardo, Alessandro; FORNACIARI, WILLIAM; Kovač, Mario; +2 Authors

doi: 10.1109/cse.2015.57

handle: 11588/660048 , 11311/986075

The MANGO FET-HPC Project: An Overview

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Abstract

In this paper, we provide an overview of the MANGO project and its goal. The MANGO project aims at addressing power, performance and predictability (the PPP space) in future High-Performance Computing systems. It starts from the fundamental intuition that effective techniques for all three goals ultimately rely on customization to adapt the computing resources to reach the desired Quality of Service (QoS). From this starting point, MANGO will explore different but interrelated mechanisms at various architectural levels, as well as at the level of the system software. In particular, to explore a new positioning across the PPP space, MANGO will investigate system-wide, holistic, proactive thermal and power management aimed at extreme-scale energy efficiency

Countries

Croatia, Croatia, Italy

Related Organizations

University of Split
Croatia
Universitat Politècnica de València
Spain
École Normale Supérieure
France
University Federico II of Naples
Italy
Polytechnic University of Milan
Italy

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Keywords

Energy Efficiency, Computer Networks and Communications, High Performance Computing, Computer Science Applications1707 Computer Vision and Pattern Recognition, ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES, Energy efficiency, Computer architecture ; Programming ; Quality of service ; Cooling ; Runtime ; Hardware ; Servers, Customization; Energy Efficiency; High Performance Computing; Computer Science Applications1707 Computer Vision and Pattern Recognition; Software; Computer Networks and Communications, Software, Customization

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	7
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average