krulis-martin / cuda-kmeans
A novell, highly-optimized CUDA implementation of k-means algorithm.
☆30Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for cuda-kmeans
- TiledCUDA is a highly efficient kernel template library designed to elevate CUDA C’s level of abstraction for processing tiles.☆157Updated last week
- Standalone Flash Attention v2 kernel without libtorch dependency☆98Updated 2 months ago
- End to End steps for adding custom ops in PyTorch.☆19Updated 4 years ago
- A warp-oriented dynamic hash table for GPUs☆71Updated 10 months ago
- An extension library of WMMA API (Tensor Core API)☆84Updated 4 months ago
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆131Updated last year
- CUDA Matrix Multiplication Optimization☆141Updated 4 months ago
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆71Updated 4 years ago
- Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.☆81Updated 2 years ago
- ☆37Updated 3 years ago
- A Winograd Minimal Filter Implementation in CUDA☆23Updated 3 years ago
- A language and compiler for irregular tensor programs.☆133Updated 6 months ago
- A Data-Centric Compiler for Machine Learning☆82Updated 10 months ago
- Use tensor core to calculate back-to-back HGEMM (half-precision general matrix multiplication) with MMA PTX instruction.☆11Updated last year
- ☆80Updated 7 months ago
- Optimize GEMM with tensorcore step by step☆15Updated 11 months ago
- A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores☆43Updated last year
- A framework that support executing unmodified CUDA source code on non-NVIDIA devices.☆105Updated 3 months ago
- Samples demonstrating how to use the Compute Sanitizer Tools and Public API☆68Updated last year
- Examples of CUDA implementations by Cutlass CuTe☆101Updated 2 weeks ago
- A library of GPU kernels for sparse matrix operations.☆249Updated 4 years ago
- ☆38Updated 4 years ago
- PyTorch-Based Fast and Efficient Processing for Various Machine Learning Applications with Diverse Sparsity☆99Updated this week
- IMPACT GPU Algorithms Teaching Labs☆55Updated last year
- Optimize tensor program fast with Felix, a gradient descent autotuner.☆19Updated 6 months ago
- Artifacts of EVT ASPLOS'24☆18Updated 8 months ago
- ☆24Updated 7 months ago
- study of Ampere' Sparse Matmul☆14Updated 3 years ago
- ☆144Updated last year
- ☆50Updated this week