Ascend / triton-ascendLinks
Triton adapter for Ascend. Mirror of https://gitee.com/ascend/triton-ascend
☆105Updated this week
Alternatives and similar repositories for triton-ascend
Users that are interested in triton-ascend are comparing it to the libraries listed below
Sorting:
- ☆65Updated 9 months ago
- ☆105Updated last year
- A practical way of learning Swizzle☆36Updated last year
- Tile-based language built for AI computation across all scales☆119Updated last week
- Implement Flash Attention using Cute.☆100Updated last year
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆192Updated last year
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆148Updated 8 months ago
- DLSlime: Flexible & Efficient Heterogeneous Transfer Toolkit☆92Updated last week
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆78Updated last year
- A Triton JIT runtime and ffi provider in C++☆30Updated last week
- Standalone Flash Attention v2 kernel without libtorch dependency☆113Updated last year
- ☆81Updated this week
- NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer☆158Updated 4 months ago
- A lightweight design for computation-communication overlap.☆219Updated 2 weeks ago
- DeeperGEMM: crazy optimized version☆73Updated 8 months ago
- ☆20Updated last year
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Updated 4 months ago
- NVIDIA cuTile learn☆154Updated last month
- ☆112Updated 8 months ago
- Multi-Level Triton Runner supporting Python, IR, PTX, and cubin.☆84Updated last week
- Compare different hardware platforms via the Roofline Model for LLM inference tasks.☆120Updated last year
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆46Updated 7 months ago
- ☆87Updated 8 months ago
- ☆41Updated last year
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆106Updated 7 months ago
- SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs☆61Updated 10 months ago
- ☆93Updated 10 months ago
- gLLM: Global Balanced Pipeline Parallelism System for Distributed LLM Serving with Token Throttling☆53Updated 3 weeks ago
- [HPCA 2026] A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.☆79Updated last month
- A prefill & decode disaggregated LLM serving framework with shared GPU memory and fine-grained compute isolation.☆123Updated last month