Steve Kerrison

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Energy consumption analysis of embedded programs requires the analysis of low-level program representations. This is challenging because the gap between the high-level program structure and the low-level energy models needs to be bridged. Here, we describe techniques for recreating the structure of low-level programs and transforming these into Horn clauses(More)
In this report we present a network-level multi-core energy model and a software development process workflow that allows software developers to estimate the energy consumption of multi-core embedded programs. This work focuses on a high performance, cache-less and timing predictable embedded processor architecture, XS1. Prior modelling work is improved to(More)
This article examines a hardware multithreaded microprocessor and discusses the impact such an architecture has on existing software energy modeling techniques. A framework is constructed for analyzing the energy behavior of the XMOS XS1-L multithreaded processor and a variation on existing software energy models is proposed, based on analysis of collected(More)
Energy models can be constructed by characterizing the energy consumed when executing each instruction in a processor's instruction set. This can be used to determine how much energy is required to execute a sequence of assembly instructions, without the need to instrument or measure hardware. However, statically analyzing low-level program structures is(More)
Safely meeting Worst Case Energy Consumption (WCEC) criteria requires accurate energy modeling of software. We investigate the impact of instruction operand values upon energy consumption in cacheless embedded processors. Existing instruction-level energy models typically use measurements from random input data, providing estimates unsuitable for safe WCEC(More)
There is growing interest in lowering the energy consumption of computation. Energy transparency is a concept that makes a pro-gram's energy consumption visible from software to hardware through the different system layers. Such transparency can enable energy optimizations at each layer and between layers, and help both programmers and operating systems(More)
Swallow is a many-core platform of interconnected embedded real time processors with time-deterministic execution and a cache-less memory subsystem. Its largest current configuration is 480 × 32-bit processors. It is open-source, designed from the ground up to allow the exploration of flexibility, scalability and energy efficiency in large systems of(More)
This paper examines dynamic energy consumption during the execution of software on deeply embedded IoT microprocessors. In worst-case energy consumption analysis, energy models are used to find the most costly execution path. Few models adequately consider dynamic energy caused by switching due to operand values. We find that energy contribution of operand(More)
The static estimation of the energy consumed by program executions is an important challenge, which has applications in program optimization and verification, and is instrumental in energy-aware software development. Our objective is to estimate such energy consumption in the form of functions on the input data sizes of programs. We have developed a tool(More)
This paper examines a hardware multi-threaded microprocessor and discusses the impact such an architecture has on existing software energy modelling techniques. A framework is constructed for analysing the energy behaviour of the XMOS XS1-L multi-threaded processor and a variation on existing software energy models is proposed, based on analysis of(More)