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Open-Source & Rust-Written Burn MATMUL Kernels Can Compete With NVIDIA's CUDA/cuBLAS
The open-source and Rust-based Burn deep learning framework developed by Tracel AI shared that their open-source matrix multiplication kernel performance can compete with and even outperform the NVIDIA CUDA cuBLAS performance
On Friday the Burn developers published a lengthy blog post going over their exciting MATMUL kernel performance relative to NVIDIA CUDA cuBLAS/CUTLASS and showing some really splendid results for this cross-platform, Rust open-source DL framework. I haven't looked at Burn previously until a Phoronix reader pointed it out but I'll be checking out their open-source software for use in some possible future benchmarks, namely burn-bench. About The AuthorMichael Larabel is the principal author of Phoronix.com and founded the site in 2004 with a focus on enriching the Linux hardware experience.
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