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Mitigating the processor aging through dynamic concurrency throttling
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DOI：10.1016/j.jpdc.2021.05.006.png)
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Abstract
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The increase in the number of cores in a single chip brings better capabilities to exploit thread-level parallelism (TLP). However, since power dissipated per area rises at each new node generation, higher temperatures are achieved, speeding up the aging of hardware components, which may provoke undesired system behavior. Considering that many applications do not scale with the number of cores, their execution with the maximum TLP available will not only degrade performance, but also unnecessarily increase temperature, further accelerating aging. Given that, we propose Hebe, a dynamic concurrency throttling approach that learns at run-time the degree of TLP that reduces the aging for OpenMP applications. Hebe is totally transparent, needing no modifications in the original binary code. With a set of extensive experiments (fifteen benchmarks and four multicore platforms), we show that Hebe outperforms state-of-the-art approaches with very close results from the best possible solution given by an exhaustive search. (C) 2021 Elsevier Inc. All rights reserved.
Keywords:
Thread-level parallelism
Aging
Optimization
Runtime system
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