Temperature-aware Dynamic Optimization of Embedded Systems

TL;DR

This paper introduces TaPT, a temperature-aware optimization technique for embedded systems that balances temperature, energy, and performance through cache tuning and dynamic frequency scaling.

Contribution

It presents a novel phase-based tuning method that achieves Pareto optimal configurations considering temperature, energy, and execution time in embedded systems.

Findings

TaPT reduces temperature, energy, and execution time effectively.

It provides Pareto optimal configurations for multiple objectives.

Minimal hardware overhead is required for implementation.

Abstract

Due to embedded systems` stringent design constraints, much prior work focused on optimizing energy consumption and/or performance. Since embedded systems typically have fewer cooling options, rising temperature, and thus temperature optimization, is an emergent concern. Most embedded systems only dissipate heat by passive convection, due to the absence of dedicated thermal management hardware mechanisms. The embedded system`s temperature not only affects the system`s reliability, but could also affect the performance, power, and cost. Thus, embedded systems require efficient thermal management techniques. However, thermal management can conflict with other optimization objectives, such as execution time and energy consumption. In this paper, we focus on managing the temperature using a synergy of cache optimization and dynamic frequency scaling, while also optimizing the execution time and energy consumption. This paper provides new insights on the impact of cache parameters on efficient temperature-aware cache tuning heuristics. In addition, we present temperature-aware phase-based tuning, TaPT, which determines Pareto optimal clock frequency and cache configurations for fine-grained execution time, energy, and temperature tradeoffs. TaPT enables autonomous system optimization and also allows designers to specify temperature constraints and optimization priorities. Experiments show that TaPT can effectively reduce execution time, energy, and temperature, while imposing minimal hardware overhead.