ByteDance-Seed / Triton-distributedLinks
Distributed Compiler Based on Triton for Parallel Systems
☆846Updated last week
Alternatives and similar repositories for Triton-distributed
Users that are interested in Triton-distributed are comparing it to the libraries listed below
Sorting:
- FlagGems is an operator library for large language models implemented in the Triton Language.☆583Updated this week
- Perplexity GPU Kernels☆375Updated 2 weeks ago
- Puzzles for learning Triton, play it with minimal environment configuration!☆367Updated 6 months ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆397Updated 3 weeks ago
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆1,314Updated this week
- flash attention tutorial written in python, triton, cuda, cutlass☆377Updated last month
- A Easy-to-understand TensorOp Matmul Tutorial☆365Updated 9 months ago
- Zero Bubble Pipeline Parallelism☆399Updated last month
- Disaggregated serving system for Large Language Models (LLMs).☆629Updated 2 months ago
- A PyTorch Native LLM Training Framework☆821Updated 6 months ago
- Materials for learning SGLang☆457Updated last week
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆991Updated last month
- A collection of memory efficient attention operators implemented in the Triton language.☆272Updated last year
- A throughput-oriented high-performance serving framework for LLMs☆832Updated 3 weeks ago
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆520Updated last month
- Ring attention implementation with flash attention☆789Updated 2 weeks ago
- MSCCL++: A GPU-driven communication stack for scalable AI applications☆379Updated this week
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆637Updated last month
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆708Updated 3 months ago
- Step-by-step optimization of CUDA SGEMM☆344Updated 3 years ago
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆425Updated 9 months ago
- Fastest kernels written from scratch☆284Updated 2 months ago
- A simple high performance CUDA GEMM implementation.☆382Updated last year
- Mirage: Automatically Generating Fast GPU Kernels without Programming in Triton/CUDA☆1,322Updated this week
- kernels, of the mega variety☆406Updated 3 weeks ago
- ☆212Updated 11 months ago
- GLake: optimizing GPU memory management and IO transmission.☆467Updated 3 months ago
- Shared Middle-Layer for Triton Compilation☆256Updated this week
- Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.☆357Updated 5 months ago
- depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.☆691Updated 2 months ago