Below is a non-exhaustive list of academic research that has been carried out on GAP8 and GAP9 concentrating mostly on papers that are looking at various neural network topics running on GAP processors. Some of the research uses our toolchain and some uses alternative academic toolchains. If you think your paper should be listed here please contact us.

An Energy Optimized JPEG Encoder for Parallel Ultra-Low-Power Processing-Platforms

Tommaso Polonelli, Daniele Battistini, Manuele Rusci, Davide Brunelli, Luca Benini
21 Mar 2020

University of Bologna, ETH Zurich

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