READ ME File For 'Dataset for "Optimising Resource Management for Embedded Machine Learning"' Dataset DOI: 10.5258/SOTON/D1154 ReadMe Author: Lei Xun, University of Southampton [0000-0003-0765-6726] This dataset supports the publication: AUTHORS: Lei Xun, Long Tran-Thanh, Bashir M Al-Hashimi, Geoff V. Merrett TITLE: Optimising Resource Management for Embedded Machine Learning JOURNAL: Design, Automation and Test in Europe Conference ’20 PAPER DOI IF KNOWN: This dataset contains: Data for Fig. 4 The figures are as follows: Fig. 4 (a) E, t operating points sapce. A Dynamic DNN (different colours show different levels of `compression') is combined with task mapping (different symbols) and DVFS (different points) on the Odroid XU3 platform. (b) Top-1 image classification accuracy on 10,000 CIFAR10 validation images. The error bar shows the variance over 10 image classes of CIFAR10. Date of data collection: MAY 2019 Information about geographic location of data collection: Southampton, UK Licence: CC BY Related projects: International Centre for Spatial Computation Date that the file was created: DEC 2019