Individual skill
tile-triton-ascend-gather
Tile two-dimensional torch.gather(dim=1) kernels for Triton-Ascend so the logical grid stays near the physical vector-core count while each program handles multiple batch rows and loops over K. Use when an agent ports a GPU grid of B by ceil(K/BLOCK_K), observes NPU launch or scheduling overhead, or needs stride-aware indexed row gathers.
skills/tile-triton-ascend-gather/SKILL.md
Source commit 4ab5ee7adf47755ecd42723f55f4c58e38be95a7
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- Last checked
- Nov 4, 2026
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- Repository last updated
- Aug 15, 2026
- License
- Apache-2.0
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- ai Repository topic
- ascend Repository topic
- ascend-npu Repository topic
- npu Repository topic
- triton Repository topic
- triton-ascend Repository topic
- claude-code Repository topic
- codex Repository topic
- opencode Repository topic
- engineering Derived category
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# Tile Triton-Ascend Gather
## Goal
Compute out[b, k] = x[b, index[b, k]] without launching one logical program for every batch-row and K tile.
## Workflow
1. Query the target num_vectorcore value.
2. Choose BLOCK_B so ceil(B / BLOCK_B) is close to, and not far above, the core count.
3. Launch a one-dimensional grid over batch blocks.
4. Loop over K inside each program in BLOCK_K tiles.
5. Load index tiles, validate them against C, gather x values with explicit strides, and store with combined masks.
