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Tile Language Documentation · Installation · Examples · Releases · Contributing · TileLang (Ascend 950) 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. Latest News - 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_blockscaled and a corresponding SM120 example. - 2026-07-28 — Metal 4 cooperative-tensor GEMM: added cooperative-tensor T.gemm support for Apple M5, while retaining the simdgroup fallback for unsupported shapes and systems. Earlier news (2025–2026) 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. - 2026-07-22 — IR Lower Trace: introduced a debugging tool for inspecting IR changes across every compiler pass and the final code-generation step. - 2026-07-22 — DeepSeek V3.2 sparse MLA backward: selected the launch width adaptively from the head-block size. - 2026-07-21 — DeepSeek V3.2 top-k optimization: improved the sparse-attention top-k selector's memory access pattern, delivering approximately 1.9× higher performance in the reported benchmark. - 2026-07-16 — Compiler pass timing: added profiling for compiler passes with a configurable reporting threshold. - 2026-07-12 — IKET profiler integration: added CUDA timeline instrumentation and profiling support. - 2026-07-08 — TileLang v0.1.12: added the LLVM backend, tile scheduler, backend registry, pass visualizer, and expanded Blackwell support. - 2026-07-06 — Pass Visualizer: introduced a structure-tree browser for inspe