Tile Language (tile-lang) is a concise domain-specific language designed to streamline the development of high-performance GPU/CPU/NPU kernels (e.g., GEMM, Dequant GEMM, FlashAttention, LinearAttention). By employing a Pythonic syntax with an underlying compiler infrastructure on top of TVM, tile-lang allows developers to focus on productivity without sacrificing the low-level optimizations necessary for state-of-the-art performance.
- 2026-09-30 — Ascend 950 backend: TileLang now officially supports Huawei Ascend 950 NPUs with native code generation, automatic scheduling and synchronization, SIMD/SIMT vector programming, etc. Explore the Ascend examples for GEMM, FlashAttention, and more.
- 2026-08-04 — TileLang LSP open sourced: published a Language Server Protocol implementation for TileLang with inlay hints for buffer shapes, dtypes, scopes, and inferred layouts, plus hover details and precise diagnostics.
- 2026-08-03 — TileLang v0.1.13: shipped the multi-backend language dialect, source locations in compiler diagnostics, new CUDA and Metal hardware paths, and a broad set of correctness fixes. This release removes several legacy APIs; read the compatibility notes before upgrading.
- 2026-07-30 — SM120 NVF4 block-scaled MMA: added an optimized Blackwell path for
T.mma_gemm_blockscaledand a corresponding SM120 example. - 2026-07-28 — Metal 4 cooperative-tensor GEMM: added cooperative-tensor
T.gemmsupport for Apple M5, while retaining the simdgroup fallback for unsupported shapes and systems.
Earlier news (2025–2026)
- 2026-07-28 — Source-aware compiler diagnostics: carried Python source locations into TIRX and surfaced them in compiler errors.
- 2026-07-24 — Multi-backend language dialect: reorganized the language layer around shared semantics with static CUDA, ROCm, and Metal dialects.
- 2026-07-23 — Block-causal attention for dLLM: added fixed-length and variable-length block-causal attention examples for diffusion language models.
