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DVFS-aware application classification to improve GPGPUs energy efficiency

João Guerreiro,Aleksandar Ilic,Nuno Roma,Pedro Tomás

Parallel Computing（2019）

Cited 29|Views76
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Abstract
•Exploring the effects of core and memory DVFS on the execution of GPU applications.•GPU characterization scheme validated on multiple GPU devices.•Classes of applications that characterize the impact of DVFS on their execution.•Average energy-savings of 20%, versus highest performance scenario.•Identification of situations with 20% energy-savings with 1% performance trade-off.
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Key words
GPGPU,Application classification,DVFS,Optimal frequency,Energy savings
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