March 1 – 6 , 2020, Dagstuhl Seminar 20101

Resiliency in Numerical Algorithm Design for Extreme Scale Simulations


Luc Giraud (INRIA – Bordeaux, FR)
Ulrich Rüde (Universität Erlangen-Nürnberg, DE)
Linda Stals (Australian National University – Canberra, AU)

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Dagstuhl Report, Volume 10, Issue 3 Dagstuhl Report
Aims & Scope
List of Participants
Dagstuhl's Impact: Documents available


On the path to extreme scale computing, the hardware design must meet stringent requirements to keep the energy consumption of parallel computers at acceptable levels. This technological challenge is tackled by shrinking the electronic devices and reducing the voltage while simultaneously increasing the number of components. Recent studies indicate that such computer systems will become less reliable and some forecasts show that the mean time between failures could be lower than the time to recover from classical checkpoint, so that large calculations at scale might not make any progress if robust alternatives are not investigated.

The goal of this Dagstuhl Seminar was to bring together a diverse group of scientists with expertise in exascale computing to discuss novel ways to make applications resilient against detected and undetected faults. In particular, participants explored the role that algorithms and applications play in the holistic approach needed to tackle this challenge.

As a major result from the seminar, all of the participants contributed to the following white paper.

Summary text license
  Creative Commons BY 3.0 Unported license
  Luc Giraud, Ulrich Rüde, and Linda Stals


  • Data Structures / Algorithms / Complexity
  • Modelling / Simulation


  • Parallel computer architecture
  • Fault tolerance
  • Checkpointing
  • Supercomputer applications


In the series Dagstuhl Reports each Dagstuhl Seminar and Dagstuhl Perspectives Workshop is documented. The seminar organizers, in cooperation with the collector, prepare a report that includes contributions from the participants' talks together with a summary of the seminar.


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