triton-ascend-example-double-kernel

To split a single operator into two sequential Triton Ascend kernels, you orchestrate a two-stage workflow using an intermediate buffer. This involves launching a forward-stage1 kernel, passing the intermediate buffer, and then launching stage2 for transform-and-reduce execution on Ascend backends.

A two-stage Triton Ascend kernel workflow is used for staged computation and operator fusion on Ascend-backed runtimes. It enables a transform-and-reduce style operator to be split into sequential steps, coordinating execution with an intermediate buffer in a Torch framework.

Yes, you can use the Triton Ascend DSL for fusion-like computation patterns in a Torch workflow. By setting the backend to ascend, dsl to triton_ascend, and framework to torch, you can execute staged kernel workflows on Ascend hardware.

You coordinate an intermediate buffer between forward-stage1 and stage2 kernels by explicitly managing stage coordination per the kernel frontmatter. The first kernel writes the intermediate results to the buffer, which the second kernel reads to complete the transform-and-reduce operation.

You should use staged computation on Ascend backends when a single fused kernel becomes too complex or requires intermediate data synchronization. Splitting the operator into stage1 and stage2 with an intermediate buffer provides explicit stage coordination for transform-and-reduce scenarios.