(V𝑉V) in a column parallel fashion such that the matrix multiply corresponding to each attention head is done locally on one GPU. This allows us to split per attention head parameters and workload across the GPUs, and doesn’t require any immediate communication to complete the self-...
2016). Widely used optimizationalgorithmssuch as ADAM require additional memory per parameter to store momentum and otheroptimizerstate, which reduces the size of models that can be effectively trained. Several