DVFS-Aware Energy-Efficient Implementation of DNNs on Heterogeneous Hybrid Parallel Computers
High-performance heterogeneous computing has emerged as a key resource for training increasingly Deep Neural Networks (DNNs). Achieving optimal performance and energy efficiency on such platforms, however, requires careful resource optimisation at both application and platform levels. While state-of-the-art DNN optimis...