https://www.dagstuhl.de/20222

May 24 – 29 , 2020, Dagstuhl Seminar 20222

RESCHEDULED Approximate Systems

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

Organizers

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)

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Motivation

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

Classification

  • Hardware
  • Programming Languages / Compiler

Keywords

  • Approximate computing
  • Energy-efficient computing
  • Pareto optimization

Documentation

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.

 

Download overview leaflet (PDF).

Publications

Furthermore, a comprehensive peer-reviewed collection of research papers can be published in the series Dagstuhl Follow-Ups.

Dagstuhl's Impact

Please inform us when a publication was published as a result from your seminar. These publications are listed in the category Dagstuhl's Impact and are presented on a special shelf on the ground floor of the library.