gpu-mode / profiling-cuda-in-torchLinks
☆162Updated last year
Alternatives and similar repositories for profiling-cuda-in-torch
Users that are interested in profiling-cuda-in-torch are comparing it to the libraries listed below
Sorting:
- ☆88Updated last year
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆190Updated 2 months ago
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆137Updated last year
- ring-attention experiments☆149Updated 10 months ago
- Cataloging released Triton kernels.☆252Updated 7 months ago
- An implementation of the transformer architecture onto an Nvidia CUDA kernel☆189Updated last year
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆568Updated last week
- Load compute kernels from the Hub☆244Updated this week
- ☆232Updated this week
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆211Updated 3 months ago
- This repository contains the experimental PyTorch native float8 training UX☆224Updated last year
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆260Updated 3 weeks ago
- Applied AI experiments and examples for PyTorch☆290Updated 2 months ago
- Solve puzzles. Learn CUDA.☆64Updated last year
- ☆211Updated 6 months ago
- Fast low-bit matmul kernels in Triton☆349Updated this week
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆208Updated last week
- Learn CUDA with PyTorch☆35Updated last month
- ☆118Updated last year
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆250Updated 2 weeks ago
- Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)☆383Updated last week
- A Quirky Assortment of CuTe Kernels☆407Updated this week
- ☆87Updated last year
- ☆192Updated 7 months ago
- Mixed precision training from scratch with Tensors and CUDA☆24Updated last year
- PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)☆66Updated 4 months ago
- Tutorials for Triton, a language for writing gpu kernels☆34Updated 2 years ago
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.☆386Updated 5 months ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆204Updated last week
- Experiment of using Tangent to autodiff triton☆80Updated last year