On DLEX, every position is optimized for maximum output. https://t.co/xwgpxhPHXg ...

2/BN254 Multiplier Optimization: Optimized the wide multiplier design under BN254, successfully reducing DSP58 utilization to 62 units, improving overall resource efficiency. ...

1 to 1M blocks: 1,130 days1M to 2M blocks: 257 days2M to 3M Blocks: 40 daysExponential optimization in action. https://t.co/InYfLuZqq0 ...

3/ Field-Specific Optimization:Benchmarked preliminary arithmetic cores to validate functional correctness and throughput scaling. Early results show promising resource utilization profiles for all three fields, paving the way for integration into the larger expander datapath.Stay tuned for more updates 🔥 ...

"The most common mistake? Optimizing something that should not exist in the first place." — Elon Musk https://t.co/2SVM2IYfBO ...

We're excited to announce the winning submissions of the FCMP++ Optimization Competition!Fabrizio has won the ec-divisors contest, with a remarkable speed-up and improvements to the library!Lederstrumpf provided the winning submission for the helioselene contest, with significant improvements to the library!Thanks to everyone that contributed!Monero (XMR) (@monero):We're excited to announce the FCMP++ Optimization Competition to optimize the helioselene and ec-divisors libraries used in Monero's upcoming Fu ...

Those were 16 techniques that I actively use to optimize neural network training.If I missed something, please drop that in the replies.Here's the visual again for your reference 👇 https://t.co/7sGyTJAHtT ...