Seungpyo Choi

PADA: power-aware development assistant for mobile sensing applications

We propose PADA, a new power evaluation tool to measure and optimize power use of mobile sensing applications. Our motivational study with 53 professional developers shows they face huge challenges in meeting power requirements. The key challenges are from the significant time and effort for repetitive power measurements since the power use of sensing applications needs to be evaluated under various real-world usage scenarios and sensing parameters. PADA enables developers to obtain enriched power information under diverse usage scenarios in development environments without deploying and testing applications on real phones in real-life situations. We conducted two user studies with 19 developers to evaluate the usability of PADA. We show that developers benefit from using PADA in the implementation and power tuning of mobile sensing applications.

RAVEN: Perception-aware Optimization of Power Consumption for Mobile Games

High-end mobile GPUs are now becoming an integral part of mobile devices. However, a mobile GPU constitutes a major portion of power consumption on the devices, and mobile games top as the most popular class of graphics applications. This paper presents the design and implementation of RAVEN, a novel, on-the-fly frame rate scaling system for mobile gaming applications. RAVEN utilizes human visual perception of graphics change to opportunistically achieve power saving without degrading user experiences. The system develops a light-weight frame comparison technique to measure and predict perception-aware frame similarity. It also builds a low resolution virtual display which clones the device screen for performing similarity measurement at a low-power cost. It is able to work on an existing commercial smartphone and support applications from app stores without any modifications. It has been implemented on Nexus 5X, and its performance has been measured with 13 games. The system effectively reduces the overall power consumption of mobile devices while maintaining satisfactory user experiences. The power consumption is reduced by 21.78% on aver-age and up to 34.74%.

Demo: FROG: Optimizing Power Consumption of Mobile Games Using Perception-Aware Frame Rate Scaling

A mobile GPU constitutes the majority of power consumption on a mobile device and mobile games top as the most popular class of graphics applications. In this demo, we present FROG, a novel frame rate optimization system for mobile gaming applications. FROG makes use of human visual perception to graphics and regulates applications frame rendering process on-the-fly for maximizing power saving without degrading the user experience. The system works on an existing commercial smartphone and support the legacy gaming applications from app stores without requiring any changes from applications