Alternatives and similar repositories for ptx-tutorial-by-aislop

Users that are interested in ptx-tutorial-by-aislop are comparing it to the libraries listed below

• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆188Updated 2 months ago
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆133Updated last year
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆137Updated last year
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆33Updated 2 weeks ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆220Updated this week
• gpu-mode / ring-attention
  ring-attention experiments
  ☆146Updated 9 months ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆205Updated 2 months ago
• VatsaDev / NanoPoor
  NanoGPT-speedrunning for the poor T4 enjoyers
  ☆68Updated 3 months ago
• PrimeIntellect-ai / pccl
  PCCL (Prime Collective Communications Library) implements fault tolerant collective communications over IP
  ☆98Updated 2 weeks ago
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆48Updated this week
• IST-DASLab / Quartet
  ☆76Updated last month
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆98Updated 6 months ago
• huggingface / kernel-builder
  👷 Build compute kernels
  ☆87Updated this week
• gpu-mode / profiling-cuda-in-torch
  ☆162Updated last year
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆338Updated last week
• microsoft / dion
  Dion optimizer algorithm
  ☆193Updated this week
• apple / ml-recurrent-drafter
  ☆215Updated 6 months ago
• open-lm-engine / flash-model-architectures
  A bunch of kernels that might make stuff slower 😉
  ☆56Updated this week
• evintunador / triton_docs_tutorials
  making the official triton tutorials actually comprehensible
  ☆53Updated last week
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆382Updated 4 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆227Updated last week
• HazyResearch / train-tk
  train with kittens!
  ☆61Updated 9 months ago
• neuralmagic / compressed-tensors
  A safetensors extension to efficiently store sparse quantized tensors on disk
  ☆141Updated last week
• nil0x9 / flash-muon
  Flash-Muon: An Efficient Implementation of Muon Optimizer
  ☆149Updated last month
• Snektron / gpumode-amd-fp8-mm
  My submission for the GPUMODE/AMD fp8 mm challenge
  ☆27Updated 2 months ago
• microsoft / ArchScale
  Simple & Scalable Pretraining for Neural Architecture Research
  ☆277Updated last week
• naklecha / llm-inference-optimizations-explained
  in this repository, i'm going to implement increasingly complex llm inference optimizations
  ☆64Updated 2 months ago
• vdesai2014 / inference-optimization-blog-post
  ☆88Updated last year
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆189Updated last year
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆247Updated 6 months ago