LLM training is built on fast MatMuls. But many surrounding ops still run as memory-bound kernels.
CODA reparameterizes them to hide in the matmul’s shadow, fused into its epilogue before results leave the chip.
Bonus: LLMs can write fast CODA kernels too (approaching SoLs).