2 docs tagged with "clusters"

Shared Memory is scoped to a single block the cluster's combined on-chip shared memory, addressable across block boundaries, without routing through global memory at all.

Blocks are independent by design: no portable synchronization between them, no shared on-chip memory, and no guarantee two blocks even run at the same time. That independence is what lets a kernel scale from a laptop GPU to a data-center one, but it also means algorithms that need a little cross-block cooperation — a bit more shared memory than one block's SM can hold, or a barrier across a handful of blocks — have nowhere to turn. A thread block cluster relaxes exactly that restriction, for a small group of blocks the hardware guarantees will be co-resident on the same GPU Processing Cluster (GPC) at the same time.