AI Briefing#profiling
The latest AI and developer news about #profiling, with the original source and a short summary.
The latest AI and developer news about #profiling, with the original source and a short summary.
A Hugging Face blog post details system-level profiling methods for TorchNeuron on AWS Trainium, showing that operator fusion reduces RMSNorm device time from 2,355 µs to 375 µs.
Developers can now request interactive flamegraphs for active Workers and Durable Objects via the CLI or Cloudflare Dashboard to identify resource bottlenecks in production.
Using PyTorch Profiler to analyze the overhead occurring in MLP structures and explaining an optimization method through Fused MLP.
This is the first post in a guide series covering how to use torch.profiler to identify and optimize performance bottlenecks in PyTorch models.
A tool has been released that measures a GPU's actual effective utilization and its upper bound in real time.
A high-resolution CLI profiler for vLLM that catches batching, KV, and cache issues.
Using comment tags and AI, the critical path and bottlenecks in Android were quickly visualized.
Explains how to visualize and analyze GPU memory usage using PyTorch's memory snapshot feature.
To resolve an image generation bottleneck in the Cookie Run: Kingdom pre-registration service, the server was profiled using Artillery and Linux perf.