Individual skill
optimize-triton-ascend-discrete-loads
Optimize bounded discrete reads in Triton-Ascend by staging a contiguous source vector in UB and selecting elements with tl.gather. Use when an agent implements out = x[idx], ports arbitrary global-memory gathers from GPU, or sees scalarized indirect loads and the complete source domain is small enough to fit on chip.
skills/optimize-triton-ascend-discrete-loads/SKILL.md
Source commit 4ab5ee7adf47755ecd42723f55f4c58e38be95a7
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- Aug 15, 2026
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- 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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# Optimize Triton-Ascend Discrete Loads
## Goal
Replace repeated indirect global reads with one contiguous global-to-UB transfer followed by on-chip gather.
## Workflow
1. Confirm the source domain length M is bounded and fits the UB budget.
2. Load x[0:M] contiguously into an on-chip vector.
3. Load the N indices and validate both lower and upper bounds.
4. Replace invalid indices with a safe value before tl.gather.
5. Gather along the source axis and store only valid outputs.
