AI inference glossary

Software

Automatic kernel scheduling

Also known as auto-scheduling

In plain English

Compiler decisions that arrange computation, buffering, and transfers so independent work can overlap safely.

Technical definition

Automatic kernel scheduling assigns operations to execution stages or resources and inserts the synchronization needed to preserve program dependencies.

Engineering details

A scheduler may pipeline loads with arithmetic, select buffers, or coordinate matrix and vector work. Available local memory and resource contention constrain how much work can overlap. Correctness still requires consumers to wait for completed producers and buffers not to be reused too early.

Why it matters

Automation reduces manual scheduling work, but a schedule that helps one tensor shape can consume too much storage or synchronization on another. Compilation success is not evidence of optimal execution.

How to read it in InferenceX

The Huawei port shows TileLang scheduling and operator timings on Ascend. Evaluate each generated schedule against the same numerical operation, shapes, cache state, and runtime version.

See the concept in real benchmarks

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