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tanelpoder

tanelpoder on Hacker News

Re:Uringscope: eBPF Tracer and Analyzer for io_uring on Saturday October 24, 2026 @12:14AM (#50218326)
Paper: https://arxiv.org/abs/2606.15137
Re:Norway Should Buy OpenAI on Tuesday August 18, 2026 @04:46PM (#49352460)
Norway is not part of EU (if by EU you meant European Union, not just a country in Europe)
Re:How Do I Profile eBPF Code? on Tuesday July 28, 2026 @02:30PM (#49087986)
Last month I wrote a tool called "brr" - eBPF Runtime Reporter and Profiler. It displays a bpftop-like eBPF program summary, but you can also zoom into any program to see its source code lines (if available) and profile the eBPF program activity and any kernel code activity called/caused by the eBPF program for the full picture of where your eBPF program time/latency is spent.

I wrote it mostly with Codex for my own use, but just pushed the latest release to GitHub (with screenshots) in case anyone else is interested:

https://github.com/tanelpoder/brr

Show HN: eBPF Runtime Reporter and Profiler (brr)

Posted by tanelpoder on Thursday June 18, 2026 @03:57AM
from the show-hn dept.

https://github.com/tanelpoder/brr/

Here's something I've been using for eBPF program profiling & optimization purposes and just published it as it has made my "performance nerd life" easier.This is a tool for profiling eBPF programs themselves, probe->kernel activity, interactions with shared hash maps, etc.Since eBPF programs are pieces of machine code residing in (kernel) address space, you could profile them with...

( Read More... | no comments | on HN )
Re:Playing with Vision Embeddings on Monday June 08, 2026 @12:08PM (#48447183)
Great article, including the interactive parts that were just simple enough to illustrate the point at high level.

I never got that far, but I once built a little page that just visualized embedding vectors generated from a few hundred cat, dog and plane photos as heatmaps. I used this for demonstrating to database & storage folks what embedding vectors physically are, at low level. The point of the heatmap (of different vectors) was to show that there are visually observable "vertical bands" standing out when plotting out many embeddings of the same types of objects (like different cats with different backgrounds) in a single heatmap.

I then also took a single cat photo, rotated it by one more degree 360 times and created a heatmap of these vectors to illustrate the point of what the embedding models really detect (you have to uncheck the "Normalized" checkbox in the "same cat rotated by 360 degrees" page to see the vertical bands show up).

The web-app is here:

https://tanelpoder.com/catvector/

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