Led the design and development of the Intelligent Energy Estimator (iEE) a tool designed to provide fast, user-friendly estimates of software workload energy consumption on Intel processors. Developed in just six weeks and unveiled at Intel Innovation 2023, the tool showcased Intel's leadership in sustainable computing. It attracted interest from over 30 companies and was later introduced to the open-source community through the Green Software Foundation, demonstrating its potential for broad industry adoption.
Executive Summary
The Tension Points
Energy Estimation Complexity
Developers needed a straightforward, low-friction way to estimate the energy impact of workloads running on Intel processors. Existing tools were often difficult to integrate and required system-specific configurations, making them impractical for many development environments. A simple, effective solution was required to promote adoption and support sustainability goals.
Sustainability Awareness Gap
Developers lacked easy access to sustainability insights and energy consumption data, making it challenging to incorporate environmental considerations into their development decisions.
Manual Process Inefficiency
Manual energy estimation processes were slow, error-prone, and required significant expertise, creating barriers for teams wanting to optimize their energy usage.
Strategic Approach
Lightweight Tool Development
Developed a lightweight energy estimation tool that addressed the integration and setup complexity barriers identified in research, making it practical for real-world development environments.
Clear Data Visualization
Implemented Grafana for impactful data visualization that made energy consumption data accessible and actionable for developers, bridging the visualization gaps identified in user research.
Strategic Launch & Community Adoption
Launched at Intel Innovation 2023 for maximum visibility and engagement, then refined and released to the open-source community through the Green Software Foundation to promote broad adoption and sustainability goals.
Process & Methodology
Research & Discovery
Assessed current tooling limitations and developer needs for a lightweight energy estimation tool. Identified barriers to adoption, including setup complexity and visualization gaps.
Design & Iteration
Co-led a development team to build the Energy Estimator tool. I recommended and implemented Grafana for clear, impactful data visualization. Designed and developed the public-facing product page using Axure and Adobe Creative Suite. Created a demo video featured at the Intel Innovation 2023 booth, enhancing engagement and visibility.
Implementation & Results
The tool was launched in time for Intel Innovation 2023 and received positive feedback and active engagement from over 30 companies. It was further refined and released into the open-source community during a Green Software Foundation hackathon. The tool's intuitive interface and seamless system integration highlighted its versatility and made it accessible to a broad audience.
Impact
Energy Estimation Transformation
The Intelligent Energy Estimator fundamentally changed how developers approach energy efficiency by providing a lightweight, easy-to-integrate tool that addressed the practical barriers to adoption identified in research.
Before iEE Platform
- Complex integration requirements
- System-specific configurations needed
- Difficult to adopt in development environments
- Limited visualization capabilities
After iEE Platform
- Lightweight, easy integration
- Clear Grafana visualizations
- Practical for real-world development
- Open-source community adoption
Visual Assets
Intelligent Energy Estimator Webpage
Energy estimation interface in Grafana
Demo feature explanation
Tools & Technologies
Grafana
Data Visualization
Visual Studio
Development
Axure
Visual Mockups
GitHub
Repository