Enabling HPC for QoS-sensitive applications: The MANGO approach

Autor: Davide Zoni, Alessandro Cilardo, Jose Flich, Giuseppe Massari, Mario Kovač, Ynse Hoornenborg, Bruno Maitre, Philipp Ampletzer, Giovanni Agosta, Ermis Papastefanakis, Carlo Brandolese, Rafael Tornero, Fabrice Roudet, Hrvoje Mlinarić, William Fornaciari, David Alonso
Přispěvatelé: Flich, José, Agosta, Giovanni, Ampletzer, Philipp, Alonso, David Atienza, Brandolese, Carlo, Cilardo, Alessandro, Fornaciari, William, Hoornenborg, Ynse, Kovač, Mario, Maitre, Bruno, Massari, Giuseppe, Mlinarić, Hrvoje, Papastefanakis, Ermi, Roudet, Fabrice, Tornero, Rafael, Zoni, Davide
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Risk
Power management
Engineering
Energy Efficiency
High Performance Computing
02 engineering and technology
01 natural sciences
Personalization
energy consumption
parallel processing
power aware computing
quality of service
HPC
MANGO project
PPP space
QoS-sensitive applications
extreme-scale energy efficiency
high-performance computing
proactive power management
proactive thermal management
Computational modeling
Computer architecture
Cooling
Hardware
Programming
Quality of service
Runtime
Customization
0103 physical sciences
0202 electrical engineering
electronic engineering
information engineering
Predictability
Safety
Risk
Reliability and Quality
010302 applied physics
business.industry
Energy consumption
Supercomputer
020202 computer hardware & architecture
ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES
Energy efficiency
Risk analysis (engineering)
Hardware and Architecture
Reliability and Quality
Embedded system
Safety
business
Efficient energy use
System software
Zdroj: DATE
Scopus-Elsevier
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE)
ResearcherID
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Popis: 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.
This project has received funding from the the European Union’s Horizon 2020 research and innovation programme under grant agreement No 671668.
Databáze: OpenAIRE
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