!eWOErHSaiddIbsUNsJ:nixos.org

NixOS CUDA

315 Members
CUDA packages maintenance and support in nixpkgs | https://github.com/orgs/NixOS/projects/27/ | https://nixos.org/manual/nixpkgs/unstable/#cuda63 Servers

Load older messages


SenderMessageTime
23 May 2024
@hexa:lossy.networkhexathis is on release-24.05 fwiw23:07:06
24 May 2024
@aidalgol:matrix.orgaidalgol SomeoneSerge (UTC+3): I didn't quite understand your "deploy this impurely" comment on the libXNVCtrl patch. 18:53:47
@aidalgol:matrix.orgaidalgol * SomeoneSerge (UTC+3): I didn't quite understand your "deploy this impurely" comment on the libXNVCtrl PR. 18:53:49
@ss:someonex.netSomeoneSerge (matrix works sometimes)
In reply to @aidalgol:matrix.org
SomeoneSerge (UTC+3): I didn't quite understand your "deploy this impurely" comment on the libXNVCtrl PR.
/run/opengl-driver instead of rpath
18:56:55
@aidalgol:matrix.orgaidalgolAh, right. I'm not certain whether it needs to match the driver version or not.18:57:58
@ss:someonex.netSomeoneSerge (matrix works sometimes)
In reply to @aidalgol:matrix.org
Ah, right. I'm not certain whether it needs to match the driver version or not.
Same. I suggest that we test
19:00:03
@connorbaker:matrix.orgconnor (he/him)

Okay, my absolute favorite new functionality in the PR I've been working on is being able to do this:

nix build --impure -L .#cudaPackages_11_8.pkgs.xgboost

and build xgboost with cudaPackages_11_8.

20:56:50
@connorbaker:matrix.orgconnor (he/him) It makes it so much easier to see if something is broken because of the CUDA version 20:57:06
@connorbaker:matrix.orgconnor (he/him)Relevant change https://github.com/NixOS/nixpkgs/pull/306172/commits/98906659f42a774afc6d43bfae795cf9bbf4768b21:06:17
@ss:someonex.netSomeoneSerge (matrix works sometimes)
In reply to @connorbaker:matrix.org

Okay, my absolute favorite new functionality in the PR I've been working on is being able to do this:

nix build --impure -L .#cudaPackages_11_8.pkgs.xgboost

and build xgboost with cudaPackages_11_8.

This looks nice but also looks like a way to shoot yourself in the foot and/or cause infinite recursion
21:06:22
@connorbaker:matrix.orgconnor (he/him)Has anyone had the opportunity to do anything with Intel Optane's enterprise drives?21:08:07
@connorbaker:matrix.orgconnor (he/him)

Unrelated: has anyone encountered a similar error? Looks like xgboost doesn't build with CUDA 12.4.

xgboost> /build/source/src/common/quantile.cu(184): error: no instance of function template "cuda::std::__4::make_tuple" matches the argument list
xgboost>             argument types are: (bool, size_t)
xgboost>           return thrust::make_tuple<uint64_t, uint64_t>(!ind, ind);
xgboost>                  ^
xgboost> /nix/store/n5qpzxhxivwp6nxhlrf5synfxjzqqbnh-cuda12.4-cudatoolkit/include/cuda/std/detail/libcxx/include/tuple(1106): note #3326-D: function template "cuda::std::__4::make_tuple" does not match because argument #2 does not match parameter
xgboost>       make_tuple(_Tp &&...__t) {
xgboost>       ^
21:09:32
@connorbaker:matrix.orgconnor (he/him):f https://gitlab.com/petsc/petsc/-/merge_requests/735421:11:03
@ss:someonex.netSomeoneSerge (matrix works sometimes) !ind hmmhmm was that meant to be ~ind 21:15:18
@philiptaron:matrix.orgPhilip Taron (UTC-8)
In reply to @connorbaker:matrix.org
Has anyone had the opportunity to do anything with Intel Optane's enterprise drives?
I have two of them I bought off ebay that I stuck in my machine. They're fast and high iop, but I haven't felt like they changed the game in any meaningful way.
21:15:47
@connorbaker:matrix.orgconnor (he/him)I've seen a lot of random IO on my builders, so I was thinking about maybe getting one21:16:41
@philiptaron:matrix.orgPhilip Taron (UTC-8) They go for ~$55-75 USD each on ebay. 21:20:01
@philiptaron:matrix.orgPhilip Taron (UTC-8)Not a lot of downsides if you have the spare M.2 space in your machines.21:20:58
@ss:someonex.netSomeoneSerge (matrix works sometimes)Where do you mount these?21:21:50
@ss:someonex.netSomeoneSerge (matrix works sometimes)As in: how are they more useful than tmpfs?21:22:26
@philiptaron:matrix.orgPhilip Taron (UTC-8)They're basically not, other than: stable storage and doesn't compete for RAM21:23:18
@ss:someonex.netSomeoneSerge (matrix works sometimes)Ok how do you use them?21:23:52
@ss:someonex.netSomeoneSerge (matrix works sometimes) * Ok how do you use them? 21:24:06
@philiptaron:matrix.orgPhilip Taron (UTC-8)https://wiki.archlinux.org/title/Bcachefs -- yeah, I live on the edge 🙈 They're the "SSD" in front of my actual SSDs21:28:12
@philiptaron:matrix.orgPhilip Taron (UTC-8) Again, I have done no benchmarking and perceptually, there's no difference. 21:28:50
@aidalgol:matrix.orgaidalgol SomeoneSerge (UTC+3): Also, what should I do about backporting that PR since the automatic process for doing that failed? 21:32:42
@connorbaker:matrix.orgconnor (he/him) SomeoneSerge (UTC+3): they're basically (slow) non-volatile RAM. Intel initially tried to position it in the datacenter as a tier between fast disks and RAM but it kind of flopped :l
the 4k random read/write is still the best on the market though
21:33:19
@connorbaker:matrix.orgconnor (he/him) Philip Taron (UTC-8): I was looking at the p5800x, which unfortunately doesn't go for that amount :f 21:35:05
@philiptaron:matrix.orgPhilip Taron (UTC-8)Oh yeah, those don't need the crazy software hacks to be made use of like the raw "here's a tiny bit of optane" ones do.21:36:21
@ss:someonex.netSomeoneSerge (matrix works sometimes)
In reply to @aidalgol:matrix.org
SomeoneSerge (UTC+3): Also, what should I do about backporting that PR since the automatic process for doing that failed?
You can just follow the instructions posted by the bot and ping me for the merge
21:39:28

Show newer messages


Back to Room ListRoom Version: 9