LEGaTO is a low
energy toolset
for heterogeneous

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LEGaTO project concludes with major contributions to energy efficiency in heterogeneous computing

New blog post about undervolting techniques for embedded systems to improve energy-efficiency

The LEGaTO project will apply to three use cases


Will demonstrate not only a decrease in energy consumption but an increase in healthcare application resilience and security.

IoT for Smart Homes and Cities

The LEGaTO project software–hardware framework for the IoT will demonstrate ease of programming and energy savings in smart homes and smart cities application.

Machine Learning

Will improve energy efficiency by employing accelerators and tuning the accuracy of computations at runtime using CNNs and LSTM.