Resiliency in Numerical Algorithm Design for Extreme Scale Simulations (Dagstuhl Seminar 20101)

L Giraud, U Rüde, L Stals - 2020 - drops.dagstuhl.de
This work is based on the seminar titled" Resiliency in Numerical Algorithm Design for
Extreme Scale Simulations" held March 1-6, 2020 at Schloss Dagstuhl, that was attended by
all the authors. Advanced supercomputing is characterized by very high computation speeds
at the cost of an enormous amount of resources. A typical large-scale computation running
for 48 hours on a system consuming 20 MW, as predicted for exascale systems, would
consume a million kWh, corresponding to about 100k Euro in energy cost for executing …

Resiliency in numerical algorithm design for extreme scale simulations

E Agullo, M Altenbernd, H Anzt… - … Journal of High …, 2022 - journals.sagepub.com
This work is based on the seminar titled 'Resiliency in Numerical Algorithm Design for
Extreme Scale Simulations' held March 1–6, 2020, at Schloss Dagstuhl, that was attended
by all the authors. Advanced supercomputing is characterized by very high computation
speeds at the cost of involving an enormous amount of resources and costs. A typical large-
scale computation running for 48 h on a system consuming 20 MW, as predicted for
exascale systems, would consume a million kWh, corresponding to about 100k Euro in …
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