24. – 29. Mai 2020, Dagstuhl-Seminar 20222

RESCHEDULED Approximate Systems

Due to the Covid-19 pandemic, this seminar was rescheduled to 25. – 30. Juli 2021Seminar 21302.


Eva Darulova (MPI-SWS – Kaiserslautern, DE)
Babak Falsafi (EPFL – Lausanne, CH)
Andreas Gerstlauer (Univ. of Texas at Austin, US)
Phillip Stanley-Marbell (University of Cambridge, GB)

Auskunft zu diesem Dagstuhl-Seminar erteilt

Dagstuhl Service Team


Resource efficiency is becoming an increasingly important challenge, especially due to the pervasiveness of computing systems and the diminishing returns from performance improvements of process technology scaling. At the same time, many important applications have nondeterministic specifications or are robust to noise in their execution. They thus do not necessarily require fully reliable computing systems and their resource consumption can be reduced by introducing or exposing approximations. While trading correctness for efficiency has been part of computing systems since the early days, it has seen renewed interest in the past decade. Different techniques have been since developed for applying and controlling approximations and the errors they introduce at different levels of the compute stack. Unfortunately, most of these techniques have been applied in isolation, making simplified assumptions about the other levels. It is thus unclear how all the different techniques interact, combine and complement or negate each other to provide end-to-end application benefits. Future work is needed to investigate error-efficient or approximate computing approaches systematically and holistically across all layers of the compute stack and for complete end-to-end system design examples. This Dagstuhl Seminar aims to bring together researchers from the different domains working on approximate computing, algorithms, programming languages, compilers, architecture and circuits, in order to explore open challenges and opportunities and to define cross-area research directions relating to an end-to-end application of approximate computing principles across the compute stack. The seminar will be structured around four application areas and application examples in embedded sensing and computation, robotics and control, scientific computing, and machine learning, which will serve as the focal points of discussions.

Motivation text license
  Creative Commons BY 3.0 DE
  Eva Darulova, Babak Falsafi, Andreas Gerstlauer, and Phillip Stanley-Marbell

Related Dagstuhl-Seminar


  • Hardware
  • Programming Languages / Compiler


  • Approximate computing
  • Energy-efficient computing
  • Pareto optimization


In der Reihe Dagstuhl Reports werden alle Dagstuhl-Seminare und Dagstuhl-Perspektiven-Workshops dokumentiert. Die Organisatoren stellen zusammen mit dem Collector des Seminars einen Bericht zusammen, der die Beiträge der Autoren zusammenfasst und um eine Zusammenfassung ergänzt.


Download Übersichtsflyer (PDF).

Dagstuhl's Impact

Bitte informieren Sie uns, wenn eine Veröffentlichung ausgehend von Ihrem Seminar entsteht. Derartige Veröffentlichungen werden von uns in der Rubrik Dagstuhl's Impact separat aufgelistet  und im Erdgeschoss der Bibliothek präsentiert.


Es besteht weiterhin die Möglichkeit, eine umfassende Kollektion begutachteter Arbeiten in der Reihe Dagstuhl Follow-Ups zu publizieren.