Benchmarking of energy efficiency is important as it helps researchers, customers, and developers to evaluate and compare the energy efficiency of software and hardware solutions. Developing and deploying energy-efficiency benchmarking workloads are challenging tasks, as work must be able to be executed in a power measurement environment using an energy-efficiency measurement methodology. The existing SPEC Chauffeur Worklet Development Kit (WDK) enables the development and use of custom workloads (called worklets) within a standardized power measurement methodology. However, it features no integration in development environments, making building and deployment of workloads challenging. We address this challenge by proposing Autopilot, a plugin for the Eclipse IDE. Autopilot enables fast and easy building and deployment of a workload under development on a system for testing. It also enables benchmark execution directly from the development environment.
%0 Conference Paper
%1 KiDeArLaBeKo2017-ICPE-Autopilot
%A von Kistowski, Jóakim
%A Deffner, Maximilian
%A Arnold, Jeremy A.
%A Lange, Klaus-Dieter
%A Beckett, John
%A Kounev, Samuel
%B Proceedings of the 8th ACM/SPEC International Conference on Performance Engineering (ICPE 2017)
%C New York, NY, USA
%D 2017
%I ACM
%K Metrics_and_benchmarking_methodologies Power Tool SPEC t_demo Power-energy_efficient_computing descartes Award
%T Autopilot: Enabling easy Benchmarking of Workload Energy Efficiency
%U https://doi.org/10.1145/3030207.3053667
%X Benchmarking of energy efficiency is important as it helps researchers, customers, and developers to evaluate and compare the energy efficiency of software and hardware solutions. Developing and deploying energy-efficiency benchmarking workloads are challenging tasks, as work must be able to be executed in a power measurement environment using an energy-efficiency measurement methodology. The existing SPEC Chauffeur Worklet Development Kit (WDK) enables the development and use of custom workloads (called worklets) within a standardized power measurement methodology. However, it features no integration in development environments, making building and deployment of workloads challenging. We address this challenge by proposing Autopilot, a plugin for the Eclipse IDE. Autopilot enables fast and easy building and deployment of a workload under development on a system for testing. It also enables benchmark execution directly from the development environment.
@inproceedings{KiDeArLaBeKo2017-ICPE-Autopilot,
abstract = {Benchmarking of energy efficiency is important as it helps researchers, customers, and developers to evaluate and compare the energy efficiency of software and hardware solutions. Developing and deploying energy-efficiency benchmarking workloads are challenging tasks, as work must be able to be executed in a power measurement environment using an energy-efficiency measurement methodology. The existing SPEC Chauffeur Worklet Development Kit (WDK) enables the development and use of custom workloads (called worklets) within a standardized power measurement methodology. However, it features no integration in development environments, making building and deployment of workloads challenging. We address this challenge by proposing Autopilot, a plugin for the Eclipse IDE. Autopilot enables fast and easy building and deployment of a workload under development on a system for testing. It also enables benchmark execution directly from the development environment.},
added-at = {2020-04-05T23:17:47.000+0200},
address = {New York, NY, USA},
author = {von Kistowski, J{\'o}akim and Deffner, Maximilian and Arnold, Jeremy A. and Lange, Klaus-Dieter and Beckett, John and Kounev, Samuel},
biburl = {https://www.bibsonomy.org/bibtex/2674573e62c19a8dbe7a4348d8e70dc9e/se-group},
booktitle = {Proceedings of the 8th ACM/SPEC International Conference on Performance Engineering (ICPE 2017)},
interhash = {65b7000a967f234d2713a78ad9bc79b5},
intrahash = {674573e62c19a8dbe7a4348d8e70dc9e},
keywords = {Metrics_and_benchmarking_methodologies Power Tool SPEC t_demo Power-energy_efficient_computing descartes Award},
month = {April},
note = {<b>Best Demo Award</b>},
publisher = {ACM},
timestamp = {2020-10-05T16:27:04.000+0200},
title = {{Autopilot: Enabling easy Benchmarking of Workload Energy Efficiency}},
url = {https://doi.org/10.1145/3030207.3053667},
year = 2017
}