Presented at NiPS Summer School 2019, Perugia (Italy)This work presents results using transprecision techniques for reducing the precision of the computation of time series analysis. The developed benchmark allows to explore how the accuracy of the results is affected by this reduction in the precision of the data types. Custom hardware could benefit from this approach reducing energy consumption and improving performance.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech
