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Tag: Approximate computing

Profile picture of Antoine Grenier in front of Tampere University building.
19.2.2025

Antoine Grenier: Trading accuracy for better battery: How approximate computing can improve your device positioning efficiency?

Imagine your smartphone with its GPS/GNSS location enabled, without any significant impact on your phone battery life. In his doctoral dissertation, M.E. Antoine Grenier reveals how innovative computing techniques can make this a reality. By reducing the energy consumption of GNSS receivers, Grenier’s work shows how it can enhance the efficiency of devices we use every day.

  • Doctoral dissertation
Profile picture of Hans Jakob Damsgaard. Forest and lake in the background. Photo by: Anna Gaydamaka
12.12.2024

Hans Jakob Damsgaard: Making mistakes can extend your phone’s battery life

Many modern applications based on machine learning, multimedia, or signal processing can tolerate small computational errors. Approximate Computing (AxC) techniques deliberately exploit this tolerance to save power, latency, circuit area, or other system metrics. M.Sc. Hans Jakob Damsgaard’s doctoral dissertation explores the integration of AxC into adaptive hardware architectures.

  • Doctoral dissertation

Contact persons

Mikko Valkama, Professor
mikko.valkama@tuni.fi

Joonas Säe, Staff Scientist
joonas.sae@tuni.fi

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