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Named after a sea snail that ingests algae and uses it for photosynthesis, Elysia is the name of our Sythese neural network implementation tool.

The tool enables the experimental investigation of different optimization approaches for hardware-only implementations of pre-trained networks. The core topic is the quantization of all occurring values (parameters and data) of the original network, which usually works with floating point numbers, and the generation and adaptation of the corresponding hardware operators.


Originally from the Japanese for the art of paper folding, this is the name of our High-Level Synthesis (HLS) tool that we developed for circuit optimization experiments.

The optimization ultimately consists of "folding" a functionality to be implemented around the available operators in order to (re)use them as efficiently as possible.

The tool allows design space exploration (DSE), incorporates various optimization algorithms, and is currently used by us to optimize hardware structures for modulo scheduling or loop pipelining.

Pipelined Multiple Constant Multiplication using RPAG

RPAG is an optimization algorithm for the pipelined multiple constant multiplication (PMCM) problem. Its sources are available as open-source.

More informations can be found here.

m-learning project ESkaLATE

Development ofa software environmentfor course-integrated, adaptivelearningofferingson mathematical topicsin electrical engineering.

More information is available here.

Apps and software in teaching and learning

We develop apps for mobile devices and other software to support teaching and learning.

More information is available here.