Recent submissions

Comment · 2 months ago
Am I the only one who is ALSO shocked by the diagnosis, that microdosing is supposed to cause bleeding around the kidneys? Quick research shows there's no way that psilocybin could cause this especially when microdosing... This makes it so much worse since it wasn't just a transcript error, it was also that the doctor didn't even read the diagnosis?
Comment · 5 months ago
Comment · 5 months ago
Me too, 20 years without a single ear infection and without a single day without ear plugs
Comment · 8 months ago
well I've been reaching 100% of c Speed Most of the time which feels like an easy effort... I guess it depends on the problem a bit and how used you're to writing optimized, clean Julia code
Comment · 8 months ago
We are working on surface support in Makie to some degree: https://github.com/MakieOrg/Makie.jl/pull/5516 If we get funding, we may also support stuff like NURBS. Obviously, once that gets merged, we do want to also add Raytracing support for it ;)
Comment · 8 months ago
To be fair I was suprised too. But I made a relatively simple straight port from the AMD rays sdk plus some input from the pbrt-v4 CPU bvh code and it just worked relatively well out of the box... This is the main intersection function which is quite simple: https://github.com/JuliaGeometry/Raycore.jl/blob/sd/multityp... I'm not even using local memory, since it was already fast enough ;) But I think we can still do quite a lot, large parts of the construction code are still very messy, and I want to polish and modularize the code over time.
Comment · 8 months ago
It's definitely an architectural problem as well. I do wonder if we could extend that though, without too much trouble for the general architecture - after all, the material does not necessarily need to represent all the outside materials and instead the ray only needs to be able to go from one medium to another. I'm happy to chat about possible extensions in that direction, although to be fair I wont have much time in the next weeks to sit down on anything like this. But, I do really hope that this can become a playground for ray tracing experiments in general!
Comment · 8 months ago
Well I'm a bit of an AMD "fanboy" and really dislike NVIDIA's vendor lock in. I'm not sure what you mean by dynamic dispatch across GPU backends - nothing should be dynamic there and most easier primitives map quite nicely between vendors (e.g. local memory, work groups etc). To be honest, the BVH/TLAS has been pretty simple in comparison to the wavefront infrastructure. We haven't done anything fancy yet, but the performance is still really good. I'm sure there are still lots of things we can do to improve performance, but right now I've concentrated on getting something usable out. Right now, we're mostly matching pbrt-v4 performance, but I couldn't compare to their NVIDIA only GPU acceleration without an NVIDIA gpu. I can just say that the performance is MUCH better than what I initially aimed for and it feels equally usable as some of the state of the art renderers I've been using. A 1:1 comparison is still missing though, since it's not easy to do a good comparison without comparing apples to oranges (already mapping materials and light types from one render to another is not trivial).
Comment · 8 months ago
I've done lots of manually refactoring of the initial Prototype in Trace.jl (by Anton Smirnov, who I think ported an earlier version of the pbrt book). This helped familiarizing myself with the math and infrastructure and the general problems a raytracer faces and lay the ground work for the general architecture and what to pay attention to for fast GPU execution. One key insight was, that its possible to not need to have an UberMaterial, but instead use a MultiTypeSet for storing different materials and lights, which allows fast and concretely typed iterations.

Then I found that pbrt moved away from the initial design and I used claude code to port large parts of the new C++ code to Julia. This lead to a pretty bad port and I had lots of back and forth to fix bugs, improve the GPU acceleration, make the code more concise and "Julian" and correct the AIs mistakes and bogus design decisions ;) This polish isn't really over yet, but it works well enough and is fast enough for a beta release!

Comment · 8 months ago
Ah sorry :D
Comment · 8 months ago
What prediction? Maybe I need to rephrase what I said: My prediction is, that if Julia ever wants to have a shot at replacing Python, it absolutely has to solve the first time to first x problem! That's what I mean by shipping fully ahead of time compiled binaries and interpreting more glue code - which both have the potential to solve the first time to x problem.
Comment · 8 months ago
lol. There's not much to fight since its a very personal problem how you want to write code. It's evident that all the capable programmers in the Julia community, have found satisfactory ways to get around it, so if you haven't yet, I don't see how that's a Julia problem ;) I can only say I haven't had a single problem with one based indexing in 12 years of developing Julia code. I also haven't run into many correctness issues compared to other languages I've been using. I think Yuri also has been using lots of packages which haven't been very mature. How on earth can you compare a 10 years old library with lots of maintainers with packages created in one year by one person? That's at least what Yuri's critic boils down to me.
Comment · 8 months ago
Sorry, I was on my phone. This doesn't seem to be a problem of the description language, but rather how the integrator and materials work internally, so this works the same way in Julia currently. I do think though, that its more approachable to add experimental features like this in the Julia version. Would certainly be an interesting project! I do want to over time get further away from the pbrt-v4 architecture and get to something much more modular and easy to extend. I feel like the overlaps resolve should happen at scene creation time, to not have an expensive priority stack at raytracing time - then it would be just a matter of better tracking the media at boundary crossing. But haven't really thought this through of course ;)
Comment · 8 months ago
I think the hype has slowed down, but all growth statistics haven't. Personally, I think Julia is the only language where I can implement something like Makie without running into a maintenance nightmare, and with Julia GPU programming is actually fun and high level and composes well, which I miss in most other languages. So, I dont really care about it replacing python or not. I do think for replacing python Julia will need to solve compilation latency, shipping AOT binaries and maybe interpret more of the glue code, which currently introduces quite a lot of compilation overhead without much gains in terms of performance.
Comment · 8 months ago
well, I do hate vendor lock in with a passion ;) But yeah, a lot did happen, this likely wouldn't have been possible one or two years ago!

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