ByteDance-Seed / Triton-distributedLinks
Distributed Compiler based on Triton for Parallel Systems
☆1,315Updated last month
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.☆880Updated this week
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,231Updated 4 months ago
- Perplexity GPU Kernels☆554Updated 2 months ago
- Puzzles for learning Triton, play it with minimal environment configuration!☆602Updated 3 weeks ago
- A Quirky Assortment of CuTe Kernels☆761Updated this week
- flash attention tutorial written in python, triton, cuda, cutlass☆479Updated this week
- Zero Bubble Pipeline Parallelism☆448Updated 8 months ago
- Byted PyTorch Distributed for Hyperscale Training of LLMs and RLs☆921Updated 2 months ago
- Disaggregated serving system for Large Language Models (LLMs).☆768Updated 9 months ago
- Materials for learning SGLang☆725Updated 3 weeks ago
- Train speculative decoding models effortlessly and port them smoothly to SGLang serving.☆639Updated this week
- Dynamic Memory Management for Serving LLMs without PagedAttention☆457Updated 7 months ago
- A throughput-oriented high-performance serving framework for LLMs☆940Updated 2 months ago
- Mirage Persistent Kernel: Compiling LLMs into a MegaKernel☆2,091Updated this week
- kernels, of the mega variety☆652Updated 3 months ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆747Updated 5 months ago
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)☆771Updated last week
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆806Updated 10 months ago
- Fastest kernels written from scratch☆524Updated 4 months ago
- A Easy-to-understand TensorOp Matmul Tutorial☆404Updated 2 weeks ago
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆517Updated last year
- A collection of memory efficient attention operators implemented in the Triton language.☆287Updated last year
- Accelerating MoE with IO and Tile-aware Optimizations☆553Updated last week
- Ring attention implementation with flash attention☆967Updated 4 months ago
- Efficient and easy multi-instance LLM serving☆521Updated 4 months ago
- NVIDIA Inference Xfer Library (NIXL)☆844Updated this week
- A low-latency & high-throughput serving engine for LLMs☆470Updated 2 weeks ago
- GLake: optimizing GPU memory management and IO transmission.☆497Updated 10 months ago
- Step-by-step optimization of CUDA SGEMM☆423Updated 3 years ago
- MSCCL++: A GPU-driven communication stack for scalable AI applications☆455Updated this week