Top Tweets for #MLcompilers
How do you search 24,000 matmul configurations without burning days of GPU time? @ditrifonov's autotuner samples around 207 of them in ~67 seconds with Monte Carlo tree search.
Check out part 3 of the writeup:
https://t.co/xyGDinQwUO
@triton_lang #MLcompilers #CUDA
A principled ML compiler stack, built from scratch in 5,033 lines of Python.
Two-week build. No deps beyond numpy, cupy, cppyy. Six IRs from Torch graph to CUDA, with a full walkthrough of every lowering.
Part 1 by @ditrifonov:
https://t.co/1fkqOZSUPk
#MLCompilers #CUDA #PyTorch
@PyTorch @nvidia
If you’ve ever wondered what’s happening beneath the surface, I hope this helps bridge that gap.
Read Part 1 on Medium: https://t.co/6Tt9C6UOhJ
#AIAgents #MachineLearning #SystemsDesign #GPU #SoftwareEngineering #MLCompilers #AI
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