LEGaTO is a low
energy toolset
for heterogeneous
computing
LEGaTO project concludes with major contributions to energy efficiency in heterogeneous computing
LEGaTO work on a multi-module carrier is presented at the COM-HPC Academy
New blog post about undervolting techniques for embedded systems to improve energy-efficiency
The LEGaTO project will apply to three use cases
Healthcare
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.
