ended up being 21st on the @GPU_MODE qr_v2 leaderboard, at the end codex helped to push the runtime geomean <3ms, I think everyone should try these competitions, I personally learned quite a lot
Second problem is now out: dense symmetric eigenproblem A=QΛQT. Solution due on July 15!
We've also enabled ncu profiling for your agents on a @verdacloud cloud box sponsored by our good friends at Brev at @NVIDIAAI
171/365 of GPU Programming
Finally got below 2ms on the GPU Mode QR challenge. Still quite far away from CUDA colonel @blelbach, so I'm excited to read everyones' writeups once the competition is over.
I especially wonder how #1 is utilizing NVFP4 (or is the submission name a
Here is a tutorial for uninitiated for QR for those wanting to enter the competition.
All you need to know is a little bit of algebra. Here @ means matrix multiplication.
Let A be a 3 x 3 matrix and task is given A can you find Q and R. A special property of Q is that Q @ Q.T
Launching a new kernel competition: Linear Algebra Kernels For The Age Of Research.
First problem: batched QR decomposition on B200. Old math, modern hardware.
Prize: Rare swag and hangout in SF
