Alternatives and similar repositories for accelerated-computing-hub

Users that are interested in accelerated-computing-hub are comparing it to the libraries listed below

• NVIDIA / nvmath-python
  NVIDIA Math Libraries for the Python Ecosystem
  ☆522Updated last month
• NVIDIA / multi-gpu-programming-models
  Examples demonstrating available options to program multiple GPUs in a single node or a cluster
  ☆819Updated last month
• olcf / cuda-training-series
  Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)
  ☆877Updated last year
• siboehm / SGEMM_CUDA
  Fast CUDA matrix multiplication from scratch
  ☆908Updated last month
• CisMine / Guide-NVIDIA-Tools
  NVIDIA tools guide
  ☆144Updated 9 months ago
• KernelTuner / kernel_tuner
  Kernel Tuner
  ☆370Updated this week
• CisMine / Parallel-Computing-Cuda-C
  CUDA Learning guide
  ☆461Updated last year
• wangzyon / NVIDIA_SGEMM_PRACTICE
  Step-by-step optimization of CUDA SGEMM
  ☆388Updated 3 years ago
• NVIDIA / numba-cuda
  The CUDA target for Numba
  ☆206Updated this week
• gpu-mode / resource-stream
  GPU programming related news and material links
  ☆1,746Updated last month
• FZJ-JSC / tutorial-multi-gpu
  Efficient Distributed GPU Programming for Exascale, an SC/ISC Tutorial
  ☆310Updated this week
• R100001 / Programming-Massively-Parallel-Processors
  ☆193Updated last year
• NVIDIA / nvbench
  CUDA Kernel Benchmarking Library
  ☆753Updated this week
• andreinechaev / nvcc4jupyter
  A plugin for Jupyter Notebook to run CUDA C/C++ code
  ☆247Updated last year
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆233Updated 5 months ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆377Updated last month
• NVIDIA / nsight-training
  Training material for Nsight developer tools
  ☆170Updated last year
• cfregly / ai-performance-engineering
  ☆153Updated last week
• NVIDIA / NVTX
  The NVIDIA® Tools Extension SDK (NVTX) is a C-based Application Programming Interface (API) for annotating events, code ranges, and resou…
  ☆460Updated this week
• AlphaGPU / leetgpu-challenges
  LeetGPU Challenges
  ☆299Updated last week
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆230Updated last year
• CoffeeBeforeArch / cuda_programming
  Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch
  ☆880Updated 2 years ago
• NVIDIA / cccl
  CUDA Core Compute Libraries
  ☆1,987Updated this week
• bertmaher / simplegemm
  ☆121Updated 7 months ago
• RichardAns / CUDA-Programs
  Examples from Programming in Parallel with CUDA
  ☆161Updated 2 years ago
• drkennetz / cuda_examples
  Some CUDA example code with READMEs.
  ☆176Updated 7 months 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…
  ☆69Updated 3 weeks ago
• gpu-mode / awesomeMLSys
  An ML Systems Onboarding list
  ☆917Updated 9 months ago
• pytorch / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆491Updated this week
• NVIDIA / cuCollections
  ☆591Updated this week