NDLI: Low-overhead Aging-aware Resource Management on Embedded GPUs

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Ivory: Early-Stage Design Space Exploration Tool for Integrated Voltage Regulators

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Low-overhead Aging-aware Resource Management on Embedded GPUs

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Low-overhead Aging-aware Resource Management on Embedded GPUs

Content Provider	ACM Digital Library
Author	Lee, Haeseung Shafique, Muhammad Al Faruque, Mohammad Abdullah
Abstract	GPUs have been employed in the embedded systems to handle increased amount of computation and satisfy the timing requirement. Therefore, the lifetime of embedded GPUs is considered one of the most important aspects to ensure functional correctness over a long period of time. Moreover, existing state-of-the-art compiler-based GPU aging management techniques suffer from a considerable amount of performance overhead. In this paper, we propose a low-overhead aging-aware resource management technique. The proposed technique extends the behavior of the existing warp scheduler and the instruction dispatcher to cluster the computational cores and distribute instructions based on the aging information. Compared to when using the original applications, our technique improves the aging of the embedded GPU by 30% on average. In addition, compared to the state-of-the-art GPU aging management technique, our technique reduces the performance overhead by 16.4% on average while improving the aging by 3% on average.
Starting Page	1
Ending Page	6
Page Count	6
File Format	PDF
ISBN	9781450349277
DOI	10.1145/3061639.3062277
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-06-18
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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