Yoray Herzberg (@sag0li) profile picture
Joined October 2023
and now top 5!
made it to top 10 in the @Meta muse prefill challenge!
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made it to top 10 in the @Meta muse prefill challenge!
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Yoray Herzberg retweeted
The core operation in most Mixture-of-Experts (MoE) workloads is applying each expert to all of the tokens it gets assigned. The naive way to implement this would be as a series of matrix multiplications: compute the output of expert 1, then expert 2, and so on. For this purpose, most implementations use a specialized *Grouped GEMM* kernel, which fuses all of these multiplications together, computing the outputs of all experts in parallel, with a single launch. We’ve just finished optimizing our own implementation. The resulting kernel is faster than all other implementations we tested, and in some cases has a 15% speedup over the best-performing baseline we found (quack), mostly in small decode shapes. Link to full blog in the comments.
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Check out our new CuTe DSL kernel for fused blockwise Hadamard transform (using FWHT) + quantization!
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Hashing isn't the first thing that comes to mind when we think GPU kernels, but the same techniques used to optimize GEMMs -- like TMA, or swizzling -- still apply. Excited to share our CUDA implementation of BLAKE3, with an almost 400x speedup over the SoTA!
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Merkle Trees let a Prover prove the inclusion of some item in a dataset with logarithmic verification time. Moreover, they only require the verifier to have access to a constant amount of bytes! Check out my post implementing them in Go here: vaktibabat.github.io/posts/m…
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In my new post, we use Rust to implement a garbled circuits-based algorithm that solves the millionaires' problem from scratch! This algorithm allows two parties to evaluate a multivariate function privately. Check it out here! vaktibabat.github.io/posts/s… #cryptography #rust
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Ant-colony optimization is a family of optimization algorithms designed to approximate solutions to NP-hard problems. In this post, we implement the Ant System (AS) algorithm in #golang, and use it to approximate solutions to the TSP vaktibabat.github.io/posts/a…
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In my latest post, we implement a Deep-Q Network from scratch (in Rust), and train it for 10,000 games on Blackjack! We then run some interesting experiments on the resulting model, such as comparing it to common Blackjack strategies. Check it out here! vaktibabat.github.io/posts/D…
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