Energy consumption

Quantum mechanics

Multi-core processor

Ecology

Biology

Statistics

Embedded system

Energy (signal processing)

Operating system

Telecommunications

Compiler

Parallel computing

Core (optical fiber)

Computer science

Visual arts

Epiphany

Software

Physics

Mathematics

Microarchitecture

Coprocessor

Processor energy models can be used by developers to estimate, without the need of hardware implementation or additional measurement setups, the power consumption of software applications. Furthermore, these energy models can be used for energy-aware compiler optimization. This 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. This validation showed that the energy estimated by the model is within 0.4% of the measured energy.

Instruction level energy model for the Adapteva Epiphany multi-core processor