Alternatives and similar repositories for pytorch_cmake_example

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

• google-research / sputnik
  A library of GPU kernels for sparse matrix operations.
  ☆283Updated 5 years ago
• wzsh / wmma_tensorcore_sample
  Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)
  ☆145Updated 5 years ago
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆256Updated last year
• wmmae / wmma_extension
  An extension library of WMMA API (Tensor Core API)
  ☆109Updated last year
• wangzyon / NVIDIA_SGEMM_PRACTICE
  Step-by-step optimization of CUDA SGEMM
  ☆428Updated 3 years ago
• NVIDIA / TileGym
  Helpful kernel tutorials and examples for tile-based GPU programming
  ☆630Updated this week
• ColfaxResearch / cutlass-kernels
  ☆259Updated last year
• pytorch / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆739Updated this week
• sunlex0717 / DissectingTensorCores
  ☆112Updated last year
• Karbo123 / pytorch_grouped_gemm
  High Performance Grouped GEMM in PyTorch
  ☆31Updated 3 years ago
• NVIDIA / nsight-training
  Training material for Nsight developer tools
  ☆177Updated last year
• cmpute / pytorch-cmake-example
  Example to build PyTorch CUDA extension using CMake (with pybind11 and scikit-build)
  ☆11Updated 5 years ago
• leimao / CUTLASS-Examples
  CUTLASS and CuTe Examples
  ☆127Updated 2 months ago
• microsoft / TileFusion
  TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.
  ☆106Updated 7 months ago
• Huanghongru / SGEMM-Implementation-and-Optimization
  Some source code about matrix multiplication implementation on CUDA
  ☆34Updated 7 years ago
• KernelTuner / kernel_tuner
  Kernel Tuner
  ☆383Updated this week
• anilshanbhag / gpu-topk
  Efficient Top-K implementation on the GPU
  ☆192Updated 6 years ago
• ROCm / iris
  AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming
  ☆168Updated this week
• CUDA-Tutorial / CodeSamples
  Code samples for the CUDA tutorial "CUDA and Applications to Task-based Programming"
  ☆95Updated 2 years ago
• NVIDIA / nvbench
  CUDA Kernel Benchmarking Library
  ☆809Updated this week
• 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
• triton-lang / kernels
  ☆104Updated last year
• ColfaxResearch / cfx-article-src
  ☆175Updated 9 months ago
• CodedK / CUDA-by-Example-source-code-for-the-book-s-examples-
  CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. …
  ☆473Updated 2 years ago
• Cjkkkk / CUDA_gemm
  A simple high performance CUDA GEMM implementation.
  ☆426Updated 2 years ago
• roastduck / FreeTensor
  A language and compiler for irregular tensor programs.
  ☆151Updated last year
• TiledTensor / TiledCUDA
  We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …
  ☆192Updated last year
• GPUPeople / spECK
  Efficient SpGEMM on GPU using CUDA and CSR
  ☆59Updated 2 years ago
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆324Updated this week
• daadaada / turingas
  Assembler for NVIDIA Volta and Turing GPUs
  ☆238Updated 4 years ago