Low-overhead Aging-aware Resource Management on Embedded GPUs
Author:
Affiliation:
1. Department of Electrical Engineering and Computer Science, University of California, Irvine, California, USA
2. Institute of Computer Engineering,Vienna University of Technology (TU Wien), Vienna, Austria
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3061639.3062277
Reference27 articles.
1. Analyzing CUDA workloads using a detailed GPU simulator
2. Lifetime Reliability-Aware Checkpointing Mechanism: Modelling and Analysis
3. Run-Time Technique for Simultaneous Aging and Power Optimization in GPGPUs
4. GPUburn: A system to test and mitigate GPU hardware failures
5. Hayat
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