Alternatives and similar repositories for gpu-programming-101

Users that are interested in gpu-programming-101 are comparing it to the libraries listed below

• NVIDIA / accelerated-computing-hub
  NVIDIA curated collection of educational resources related to general purpose GPU programming.
  ☆1,101Updated last week
• CisMine / Guide-NVIDIA-Tools
  NVIDIA tools guide
  ☆155Updated last year
• nvixnu / pmpp__programming_massively_parallel_processors
  Examples and exercises from the book Programming Massively Parallel Processors - A Hands-on Approach. David B. Kirk and Wen-mei W. Hwu (T…
  ☆77Updated 5 years ago
• CisMine / Parallel-Computing-Cuda-C
  CUDA Learning guide
  ☆514Updated last year
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆179Updated last month
• R100001 / Programming-Massively-Parallel-Processors
  ☆210Updated last year
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆248Updated 8 months ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆523Updated 4 months ago
• drkennetz / cuda_examples
  Some CUDA example code with READMEs.
  ☆179Updated 2 months ago
• gpu-mode / reference-kernels
  Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!
  ☆189Updated this week
• NVIDIA / TileGym
  Helpful kernel tutorials and examples for tile-based GPU programming
  ☆568Updated last week
• wafer-ai / gpu-perf-engineering-resources
  A curriculum for learning about gpu performance engineering, from scratch to what the frontier AI labs do
  ☆254Updated last week
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆249Updated last year
• a-hamdi / GPU
  100 days of building GPU kernels!
  ☆563Updated 8 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆178Updated last year
• Quentin-Anthony / nanoMPI
  Simple MPI implementation for prototyping or learning
  ☆300Updated 5 months ago
• wangzyon / NVIDIA_SGEMM_PRACTICE
  Step-by-step optimization of CUDA SGEMM
  ☆422Updated 3 years ago
• NVIDIA / compute-eval
  Evaluating Large Language Models for CUDA Code Generation ComputeEval is a framework designed to generate and evaluate CUDA code from Lar…
  ☆91Updated last week
• siboehm / SGEMM_CUDA
  Fast CUDA matrix multiplication from scratch
  ☆1,023Updated 4 months ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆453Updated 10 months ago
• NVIDIA / Fuser
  A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")
  ☆371Updated last week
• andreinechaev / nvcc4jupyter
  A plugin for Jupyter Notebook to run CUDA C/C++ code
  ☆258Updated last year
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆287Updated 4 months ago
• hkproj / triton-flash-attention
  ☆233Updated last year
• lessw2020 / triton_kernels_for_fun_and_profit
  Custom kernels in Triton language for accelerating LLMs
  ☆27Updated last year
• NVIDIA / nvmath-python
  NVIDIA Math Libraries for the Python Ecosystem
  ☆543Updated this week
• NVIDIA / nsight-training
  Training material for Nsight developer tools
  ☆177Updated last year
• CisMine / GPU-in-ML-DL
  Apply GPU in ML and DL
  ☆55Updated 4 months ago
• meta-pytorch / tritonparse
  TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels
  ☆185Updated this week
• ROCm / composable_kernel
  Composable Kernel: Performance Portable Programming Model for Machine Learning Tensor Operators
  ☆515Updated this week