Bias Temperature Instability Mitigation via Adaptive Cache Size Management

Rohbani, Nezam; Ebrahimi, Mojtaba; Miremadi, Seyed Ghassem; Tahoori, Mehdi B.

doi:10.1109/tvlsi.2016.2606579

Cited by 11 publications

(1 citation statement)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, cache could also be a performance bottleneck, since they are used to bridge the processor-memory performance gap. However, even though previous work has shown that caches may contribute to a chip's temperature [12,13], the thermal impacts of cache configurations have not been thoroughly investigated.…”

Section: Introductionmentioning

confidence: 99%

TaPT: Temperature-Aware Dynamic Cache Optimization for Embedded Systems

Adegbija

Gordon‐Ross

2017

Computers

View full text Add to dashboard Cite

Embedded systems have stringent design constraints, which has necessitated much prior research focus 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 can 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.

show abstract

Section: Introductionmentioning

confidence: 99%