Flexible Instrumentation for Live On-Chip Debug of Machine Learning Training on FPGAs

2021 IEEE 29th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)(2021)

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摘要
FPGAs have recently shown promise for accelerating machine learning training. This has led to research into the co-design of narrow-precision accelerator architectures and the investigation of novel machine learning models. Such research can be extremely expensive, as the steep cost of training a model can increase several-fold due to the need of performing hyper-parameter tuning and adjustments t...
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关键词
Training,Instruments,Machine learning,Inference algorithms,System-on-chip,Integrated circuit modeling,Monitoring
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