Alternatives and similar repositories for cuda-kmeans

Users that are interested in cuda-kmeans are comparing it to the libraries listed below

• owensgroup / SlabHash
  A warp-oriented dynamic hash table for GPUs
  ☆73Updated last year
• UofT-EcoSystem / Minuet
  [EuroSys'24] Minuet: Accelerating 3D Sparse Convolutions on GPUs
  ☆75Updated 11 months ago
• microsoft / TileFusion
  TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.
  ☆85Updated this week
• TiledTensor / TiledCUDA
  We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …
  ☆181Updated 3 months ago
• sandeepkumar-skb / pytorch_custom_op
  End to End steps for adding custom ops in PyTorch.
  ☆22Updated 4 years ago
• yalue / cuda_scheduling_examiner_mirror
  A tool for examining GPU scheduling behavior.
  ☆82Updated 9 months ago
• cupbop / CuPBoP
  A framework that support executing unmodified CUDA source code on non-NVIDIA devices.
  ☆127Updated 4 months ago
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆108Updated 8 months ago
• uwsampl / SparseTIR
  SparseTIR: Sparse Tensor Compiler for Deep Learning
  ☆137Updated 2 years ago
• mit-han-lab / parallel-computing-tutorial
  ☆168Updated last year
• roastduck / FreeTensor
  A language and compiler for irregular tensor programs.
  ☆138Updated 5 months ago
• owensgroup / BGHT
  BGHT: High-performance static GPU hash tables.
  ☆63Updated last month
• oresths / tSparse
  A GPU algorithm for sparse matrix-matrix multiplication
  ☆70Updated 4 years ago
• Hardware-Alchemy / cuDNN-sample
  cuDNN sample codes provided by Nvidia
  ☆45Updated 6 years ago
• YashasSamaga / ConvolutionBuildingBlocks
  GEMM and Winograd based convolutions using CUTLASS
  ☆26Updated 4 years ago
• iree-org / iree-nvgpu
  ☆50Updated last year
• owensgroup / merge-spmm
  Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018
  ☆71Updated 4 years ago
• CUDA-Tutorial / CodeSamples
  Code samples for the CUDA tutorial "CUDA and Applications to Task-based Programming"
  ☆88Updated last year
• sjtu-epcc / Tacker
  Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS
  ☆25Updated 3 months ago
• vazois / TopK
  TopK Algorithms Benchmark
  ☆10Updated 5 years ago
• lenLRX / AmpereSparseMatmul
  study of Ampere' Sparse Matmul
  ☆18Updated 4 years ago
• merrymercy / Awesome-Efficient-LLM
  A curated list for Efficient Large Language Models
  ☆11Updated last year
• UDC-GAC / openCNN
  A Winograd Minimal Filter Implementation in CUDA
  ☆24Updated 3 years ago
• lixiuhong / batched_gemm
  ☆38Updated 5 years ago
• moritztng / grayskull-attention
  Attention in SRAM on Tenstorrent Grayskull
  ☆35Updated 9 months ago
• apuaaChen / EVT_AE
  Artifacts of EVT ASPLOS'24
  ☆24Updated last year
• CoffeeBeforeArch / nvbit_tools
  ☆11Updated 4 years ago
• li199603 / sgemm_with_cuda
  SGEMM optimization with cuda step by step
  ☆18Updated last year
• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆61Updated 8 months ago
• UDC-GAC / venom
  A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores
  ☆51Updated last year