Paving the Way Towards a Highly Energy-Efficient and Highly Integrated Compute Node for the Exascale Revolution: The ExaNoDe Approach
Alvise Rigo, Christian Pinto, Kevin Pouget, Daniel Raho, Denis Dutoit, Pierre-Yves Martinez, Chris Doran, Luca Benini, Iakovos Mavroidis, Manolis Marazakis, V. Bartsch, Guy Lonsdale, Antoniu Pop, John Goodacre, Annaik Colliot, Paul Carpenter, Petar Radojković, Dirk Pleiter, Dominique Drouin, Benoît Dupont de Dinechin · 2017
Power consumption and high compute density are the key factors to be considered when building a compute node for the upcoming Exascale revolution. Current architectural design and manufacturing technologies are not able to provide the requested level of density and power efficiency to realise an operational Exascale machine. A disruptive change in the hardware design and integration process is needed in order to cope with the requirements of this forthcoming computing target. This paper presents the ExaNoDe H2020 research project aiming to design a highly energy efficient and highly integrated heterogeneous compute node targeting Exascale level computing, mixing low-power processors, heterogeneous co-processors and using advanced hardware integration technologies with the novel UNIMEM Global Address Space memory system.