Intel Engineer Departs, Reflects on AI Flame Graphs and GPU Performance Analysis
By
speckx
Crackling crust, pillowy middle. The kind of bagel that earns a second cup of coffee.
Summary
An Intel employee announces their resignation after 3.5 years, reflecting on their work with AI flame graphs for GPU performance analysis. They discuss the current state of CPU flame graphs being widely adopted for performance analysis, while GPU flame graphs (particularly for AI workloads) are still in early stages. The author notes that Intel's open source version is currently Intel-only, which limits adoption, but believes the need for AI flame graphs will grow as GPU code becomes more complex with multiple layers.
Key quotes
· 5 pulledI've resigned from Intel and accepted a new opportunity.
It's still early days for AI flame graphs.
Right now when I browse CPU performance case studies on the Internet, I'll often see a CPU flame graph as part of the analysis.
We're a long way from that kind of adoption for GPUs (and it doesn't help that our open source version is Intel only).
I think as GPU code becomes more complex, with more layers, the need for AI flame graphs will keep increasing.
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