According to Moore's law, the number of transistors in
an integrated circuit doubles about every two years, giving us
faster computers in the same pace. Latest when miniaturisation
reaches atomic levels, Moore's law will be coming to an
end (likely in 5 to 10 years). While we see in 2020 still an
increase in number of transistors, general purpose CPU cores
do not really get faster anymore. This did lead to the rise of
specialised "accelerators" (such as GPUs). With current
High-Performance Computing clusters being in the PetaFLOPS range,
Exascale (i.e. 10^18 FLOPS=floating point instructions per second)
is the next (and maybe final) sonic barrier to break. The first part
of this talk will report from the DEEP-EST Exascale research project
that develops a modular supercomputing architecture to provide
different hardware modules each employing different accelerator
technologies tailored to specific problem domains, such a simulation
or machine learning. The second part of this talk will cover the
European Open Science Cloud (EOSC) that gathers and provides many
digital services for European researchers, such as computing or
storing research data. For example, you need to store research
data (or just your source code), preferably even with a DOI so
that you and others can reference it? -- EOSC provides the right
service! With respect to Nordic research data, the EOSC-Nordic
project aims at making this data FAIR, i.e. findable, accessible,
interoperable, and reusable. Maybe even you have data that is worth
being made FAIR?!
Presentation slides for presentation held as part of the seminar series organized by the University of Iceland Engineering Research Institute, 17.4.2020.
Video recording of presentation available as stream via:
https://hi.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=5f48b270-b9d2-4b8b-8ed6-aba000e6be49
