layer timing
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TraceML’s New Layer Timing Dashboard: Real-Time Insights
Read Full Article: TraceML’s New Layer Timing Dashboard: Real-Time Insights![[P] TraceML Update: Layer timing dashboard is live + measured 1-2% overhead on real training runs](https://www.tweakedgeek.com/wp-content/uploads/2025/12/featured-article-6363-300x171.png)
TraceML has introduced a new layer timing dashboard that provides a detailed breakdown of training times for each layer on both GPU and CPU, allowing users to identify bottlenecks in real-time. This live dashboard offers insights into where training time is allocated, differentiating between forward and backward passes and per-layer performance, with minimal overhead on training throughput. The tool is particularly useful for debugging slow training runs, identifying unexpected bottlenecks, optimizing mixed-precision setups, and understanding CPU/GPU synchronization issues. This advancement is crucial for those looking to optimize machine learning training processes and reduce unnecessary time expenditure.
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