tile-ai / tilelangLinks
Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
☆3,658Updated this week
Alternatives and similar repositories for tilelang
Users that are interested in tilelang are comparing it to the libraries listed below
Sorting:
- FlashInfer: Kernel Library for LLM Serving☆3,911Updated last week
- Mirage Persistent Kernel: Compiling LLMs into a MegaKernel☆1,891Updated this week
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,145Updated last month
- Distributed Compiler based on Triton for Parallel Systems☆1,173Updated 3 weeks ago
- Tile primitives for speedy kernels☆2,821Updated last week
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,834Updated this week
- Analyze computation-communication overlap in V3/R1.☆1,105Updated 7 months ago
- Expert Parallelism Load Balancer☆1,279Updated 6 months ago
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆4,124Updated this week
- A bidirectional pipeline parallelism algorithm for computation-communication overlap in DeepSeek V3/R1 training.☆2,869Updated 7 months ago
- FlagGems is an operator library for large language models implemented in the Triton Language.☆696Updated this week
- DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling☆5,812Updated last week
- A PyTorch Native LLM Training Framework☆875Updated last month
- A Datacenter Scale Distributed Inference Serving Framework☆5,325Updated this week
- 🚀 Efficient implementations of state-of-the-art linear attention models☆3,517Updated this week
- Muon is Scalable for LLM Training☆1,336Updated 2 months ago
- slime is an LLM post-training framework for RL Scaling.☆2,170Updated this week
- how to optimize some algorithm in cuda.☆2,552Updated 2 weeks ago
- A unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. …☆1,443Updated last week
- Puzzles for learning Triton, play it with minimal environment configuration!☆549Updated last month
- A throughput-oriented high-performance serving framework for LLMs☆904Updated last month
- Materials for learning SGLang☆615Updated 3 weeks ago
- depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.☆745Updated last week
- A Quirky Assortment of CuTe Kernels☆627Updated last week
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆766Updated 7 months ago
- MoBA: Mixture of Block Attention for Long-Context LLMs☆1,941Updated 6 months ago
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems☆612Updated last week
- Fast, Flexible and Portable Structured Generation☆1,309Updated last week
- Perplexity GPU Kernels☆497Updated last month
- Puzzles for learning Triton☆2,036Updated 11 months ago