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I crossed an interesting threshold yesterday, which I think many other mathematicians have been crossing recently as well. In the middle of trying to prove a result, I identified a statement that looked true and that would, if true, be useful to me. 1/3
You probably know @clattner_llvm built the foundation of the software we all use today. Well now Chris is concerned: AI might create a whole cohort of coders that don't understand how to built software that lasts. Watch the full video to be sure you don't end up one of them:
Tip a cube on its corner, and another cube can pass through it. quantamagazine.org/first-shape-fo…
Your point about productivity is the more important facet. While I agree it is hard to measure, Modular now supports 7 GPU archs from 3 HW vendors and is providing leading performance across a wide range of metrics. This is done with a tiny kernel team - high productivity!
Thank you to folks at @metaai for publishing their independent perf analysis comparing CUDA and Mojo against Triton and TileLang DSLs, showing Mojo meeting and beating CUDA, and leaving DSLs in the dust.
At this rate, python dsl kernel libs have a chance of beating js web frameworks.
Recently published the edition 1 of our book. Check it out 👇
We just launched Mojo🔥 GPU Puzzles Edition 1, a hands-on guide that teaches GPU programming through 34 progressive challenges, not lectures. Learn by doing, from your first GPU threads to tensor cores. Works on NVIDIA, AMD, and Apple GPUs. puzzles.modular.com
We just launched Mojo🔥 GPU Puzzles Edition 1, a hands-on guide that teaches GPU programming through 34 progressive challenges, not lectures. Learn by doing, from your first GPU threads to tensor cores. Works on NVIDIA, AMD, and Apple GPUs. puzzles.modular.com
Well done @CanRevAgency 👏! Pretty sure using gpt2 trained on Shakespeare would've been more accurate. nationalpost.com/news/politics/…
Yeah, small players punch up like this!
We have a fast growing open source Mojo🔥+MAX🧑🚀 community and Modular is hiring for a number of roles! Please check out our careers page: modular.com/company/career…, visit us at PyTorch Con🔥, or LLVM Developer Conference🐉 next week. It's such an exciting time in the industry! 🚀
In just 14 days, @Modular achieved state-of-the-art performance with @AMD MI355X GPUs on @TensorWaveCloud 🚀 Check out the article in the link below 👇
pytorch consulting the math library heuristics which say transposing the matrix will yield a 30% speedup over the non-transposed case, deciding to transpose the matrix, and immediately running out of memory
GPT-5 Pro found a counterexample to the NICD-with-erasures majority optimality (Simons list, p.25). simons.berkeley.edu/sites/default/… At p=0.4, n=5, f(x) = sign(x_1-3x_2+x_3-x_4+3x_5) gives E|f(x)|=0.43024 vs best majority 0.42904.
I encourage you to read this article, in which we describe the current situation and the directions in which, in our view, mathematics is heading. Many thanks to Ken Ono for including me in this extraordinary project. I look forward to a wide-ranging discussion and will be…
Makes sense. Mojo gives you the full power of the hardware, it doesn't "abstract" it like some other systems, so it is perfect for doing this sort of work. It provides helper libraries that you can optionally use to make some things (incl tiling etc) more declarative, and…
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