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Continuous Nvidia CUDA PC Sampling Profiler

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Blog post about how we extended our open source profiler to include support for continuous production PC sampling.

HN · launched Jun 15, 2026 · 14 upvotes (top 31%) · 0 views

Niche: gpu infrastructure and developer tools · 129 launches, 7 in the last 7 days ▼ -30% · Explore this niche →

Category and tags

  • Horizontal
  • Dev tools
  • Developer
  • Not AI
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

No Developing a low-overhead continuous CUDA profiler using hardware PC sampling requires elite systems and GPU internals expertise interfacing with CUPTI and the Linux kernel.

What it would actually take: The architecture involves an in-process or daemon agent (like Parca Agent) interfacing with the low-level NVIDIA CUPTI (CUDA Profiling Tools Interface) Activity APIs to hook into GPU hardware counters and warp schedulers. It requires managing circular shared-memory ring buffers, dynamic sampling frequency throttling to avoid execution overhead, and kernel-space eBPF integration to correlate host threads with GPU kernels. Achieving this demands deep knowledge of NVIDIA hardware architecture, CUDA runtime internals, and C/eBPF systems programming.

Discussion

6 comments analyzed.

Concerns raised: PC sampling utility unclear for performance debugging, Performance varies with data characteristics (sorted vs randomized), Kernel behavior differs between dev and production environments

Competitors

Other products that read as similar to this one : 230 launches clear the similarity bar, closest 8 shown.

Attention rank: #86 of 231 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 224 days after the earliest competitor.

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