triton-ascend-case-reduction-amin-atomic

Optimize atomic reduction for extreme M<<N shapes on Ascend by mapping the reduction axis to multiple cores. This approach uses two-stage tiling and compute rearrangement to balance workload and atomic contention when the non-reduction axis is small.

Yes, Triton on Ascend supports amin-atomic kernels for Atlas A2 and A3 hardware. The implementation includes autotuning configurations to optimize the atomic reduction operations across the supported hardware.

Handle atomic contention during kernel optimization by choosing between two atomic schemes: performing atomic operations inside the loop or centralizing them outside. This balances storage requirements against competitive overhead.

Map the reduction axis to multiple cores for amin operations when the non-reduction axis is very small, such as a 16x262144 shape. This extreme M<<N ratio benefits from multi-core mapping to improve overall reduction performance.

Use autotune to configure amin-atomic reductions in Triton by testing various tiling and atomic operation schemes. The skill provides autotuning configurations to automatically find the best performance setup for your specific shape ratios on Ascend.