Alternatives and similar repositories for ThunderKittens

Users that are interested in ThunderKittens are comparing it to the libraries listed below

• mirage-project / mirage
  Mirage Persistent Kernel: Compiling LLMs into a MegaKernel
  ☆2,032Updated 2 weeks ago
• srush / Triton-Puzzles
  Puzzles for learning Triton
  ☆2,211Updated last year
• tspeterkim / flash-attention-minimal
  Flash Attention in ~100 lines of CUDA (forward pass only)
  ☆1,036Updated last year
• flashinfer-ai / flashinfer
  FlashInfer: Kernel Library for LLM Serving
  ☆4,400Updated this week
• NVIDIA / TransformerEngine
  A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…
  ☆3,043Updated last week
• pytorch / ao
  PyTorch native quantization and sparsity for training and inference
  ☆2,601Updated last week
• gpu-mode / resource-stream
  GPU programming related news and material links
  ☆1,881Updated 3 months ago
• siboehm / SGEMM_CUDA
  Fast CUDA matrix multiplication from scratch
  ☆996Updated 4 months ago
• pytorch / torchtitan
  A PyTorch native platform for training generative AI models
  ☆4,924Updated this week
• tile-ai / tilelang
  Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
  ☆4,417Updated this week
• fla-org / flash-linear-attention
  🚀 Efficient implementations of state-of-the-art linear attention models
  ☆4,168Updated last week
• huggingface / picotron
  Minimalistic 4D-parallelism distributed training framework for education purpose
  ☆1,935Updated 4 months ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆590Updated 4 months ago
• ByteDance-Seed / Triton-distributed
  Distributed Compiler based on Triton for Parallel Systems
  ☆1,303Updated last week
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆732Updated this week
• huggingface / nanotron
  Minimalistic large language model 3D-parallelism training
  ☆2,396Updated 3 weeks ago
• thuml / depyf
  depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.
  ☆772Updated 2 months ago
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)
  ☆732Updated this week
• linkedin / Liger-Kernel
  Efficient Triton Kernels for LLM Training
  ☆6,002Updated this week
• HazyResearch / Megakernels
  kernels, of the mega variety
  ☆637Updated 3 months ago
• hidet-org / hidet
  An open-source efficient deep learning framework/compiler, written in python.
  ☆737Updated 4 months ago
• pytorch / PiPPy
  Pipeline Parallelism for PyTorch
  ☆784Updated last year
• mit-han-lab / smoothquant
  [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
  ☆1,576Updated last year
• meta-pytorch / attention-gym
  Helpful tools and examples for working with flex-attention
  ☆1,096Updated last week
• NVIDIA / Model-Optimizer
  A unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresse…
  ☆1,744Updated this week
• bytedance / flux
  A fast communication-overlapping library for tensor/expert parallelism on GPUs.
  ☆1,217Updated 4 months ago
• NVIDIA / cutile-python
  cuTile is a programming model for writing parallel kernels for NVIDIA GPUs
  ☆1,722Updated 2 weeks ago
• srush / LLM-Training-Puzzles
  What would you do with 1000 H100s...
  ☆1,140Updated last year
• efeslab / Nanoflow
  A throughput-oriented high-performance serving framework for LLMs
  ☆929Updated 2 months ago
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆973Updated last year