Alternatives and similar repositories for NVIDIA-AcceleratedComputing

Users that are interested in NVIDIA-AcceleratedComputing are comparing it to the libraries listed below

• 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…
  ☆69Updated 4 years ago
• wzsh / wmma_tensorcore_sample
  Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)
  ☆137Updated 4 years ago
• NVIDIA / compute-sanitizer-samples
  Samples demonstrating how to use the Compute Sanitizer Tools and Public API
  ☆83Updated last year
• cwpearson / nvidia-performance-tools
  Instructions, Docker images, and examples for Nsight Compute and Nsight Systems
  ☆132Updated 5 years ago
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆196Updated 11 months ago
• dawn-chu / EECS-368-Programming-Massively-Parallel-Processors-with-CUDA
  ☆20Updated 9 years ago
• muriloboratto / NCCL
  Sample examples of how to call collective operation functions on multi-GPU environments. A simple example of using broadcast, reduce, all…
  ☆34Updated last year
• sunlex0717 / DissectingTensorCores
  ☆98Updated last year
• illinois-impact / gpu-algorithms-labs
  IMPACT GPU Algorithms Teaching Labs
  ☆57Updated 2 years ago
• bertmaher / simplegemm
  ☆109Updated 3 months ago
• olcf / NVIDIA-tensor-core-examples
  ☆18Updated 5 years ago
• YulhwaKim / cutlass_tilesparse
  CUDA templates for tile-sparse matrix multiplication based on CUTLASS.
  ☆51Updated 7 years ago
• cyanguwa / nersc-roofline
  ☆44Updated 4 years ago
• accel-sim / gpu-app-collection
  A repository where GPU applications are aggregated using a common build flow that supports multiple CUDA versions.
  ☆66Updated 3 weeks ago
• ROCm / rocSHMEM
  rocSHMEM intra-kernel networking runtime for AMD dGPUs on the ROCm platform.
  ☆90Updated this week
• R100001 / Programming-Massively-Parallel-Processors
  ☆167Updated 10 months ago
• UDC-GAC / venom
  A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores
  ☆51Updated last year
• NVIDIA / nsight-training
  Training material for Nsight developer tools
  ☆159Updated 10 months ago
• mk1-project / quickreduce
  QuickReduce is a performant all-reduce library designed for AMD ROCm that supports inline compression.
  ☆28Updated 3 months ago
• gunrock / loops
  🎃 GPU load-balancing library for regular and irregular computations.
  ☆62Updated last year
• CisMine / Guide-NVIDIA-Tools
  NVIDIA tools guide
  ☆135Updated 5 months ago
• uwsampl / SparseTIR
  SparseTIR: Sparse Tensor Compiler for Deep Learning
  ☆138Updated 2 years ago
• wmmae / wmma_extension
  An extension library of WMMA API (Tensor Core API)
  ☆99Updated 11 months ago
• Jokeren / GPA
  GPU Performance Advisor
  ☆65Updated 2 years ago
• north-numerical-computing / tensor-cores-numerical-behavior
  Test suite for probing the numerical behavior of NVIDIA tensor cores
  ☆40Updated 11 months ago
• csc-training / CUDA
  Introduction to CUDA programming
  ☆122Updated 8 years ago
• c3sr / tcu_scope
  ☆51Updated 5 years ago
• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆63Updated 9 months ago
• yuninxia / awesome-gemm
  📚 A curated list of awesome matrix-matrix multiplication (A * B = C) frameworks, libraries and software
  ☆41Updated 4 months ago
• facebookresearch / fairring
  Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …
  ☆65Updated 3 years ago