Abstract
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.
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.
| Original language | English |
|---|---|
| DOIs | |
| Publication status | Published - 30 Aug 2017 |
| Event | 2017 Euromicro Conference on Digital System Design - TU Wien, Vienna, Austria Duration: 30 Aug 2017 → 1 Sept 2017 http://dsd-seaa2017.ocg.at/dsd2017.html |
Conference
| Conference | 2017 Euromicro Conference on Digital System Design |
|---|---|
| Abbreviated title | DSD |
| Country/Territory | Austria |
| City | Vienna |
| Period | 30/08/17 → 1/09/17 |
| Internet address |
