PyTorch’s Helion DSL now targets TPU kernel authoring through Pallas
PyTorch · x · 2026-07-24
PyTorch says Helion, its DSL for custom kernels, is expanding toward hardware-heterogeneous kernel authoring.
- Meta and Google show how Helion compiles to TPU via Pallas.
- The idea is to give developers a unified way to write performant TPU kernels inside the PyTorch ecosystem.
- The blog uses FlashAttention as a case study.
- The compiler autotunes across multiple code-generation strategies, choosing pipelining schemes based on input shapes to maximize compute–memory overlap.
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