Instruction level energy model for the Adapteva Epiphany multi-core processor
Paper i proceeding, 2017
Processor energy models can be used by developers to estimate, without the need of hardware implementation or additional measurement setups, the power consumption of so ware applications. Furthermore, these energy models can be used for energy-aware compiler optimization. is paper presents a measurement-based instruction-level energy characterization for the Adapteva Epiphany processor, which is a 16-core shared-memory architecture connected by a 2D network-on-chip. Based on a number of microbenchmarks, the instruction-level characterization was used to build an energy model that includes essential Epiphany instructions such as remote memory loads and stores. To validate the model, an FFT application was developed. is validation showed that the energy estimated by the model is within 0.4% of the measured energy.