Alternatives and similar repositories for effective_transpose

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

• cchan / tccl
  extensible collectives library in triton
  ☆87Updated 5 months ago
• open-lm-engine / flash-model-architectures
  A bunch of kernels that might make stuff slower 😉
  ☆59Updated this week
• triton-lang / kernels
  ☆88Updated 10 months ago
• meta-pytorch / kraken
  Triton-based Symmetric Memory operators and examples
  ☆28Updated 3 weeks ago
• pytorch / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆299Updated this week
• microsoft / TileFusion
  TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.
  ☆97Updated 2 months ago
• IST-DASLab / qutlass
  QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
  ☆92Updated last week
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆221Updated this week
• Deep-Learning-Profiling-Tools / triton-viz
  ☆234Updated last week
• NVIDIA / jaxpp
  JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training
  ☆53Updated last month
• gpu-mode / ring-attention
  ring-attention experiments
  ☆152Updated 11 months ago
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆116Updated 3 months ago
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆82Updated this week
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆294Updated 3 weeks ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆154Updated 5 months ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆221Updated 4 months ago
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆211Updated this week
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆257Updated last week
• ColfaxResearch / cutlass-kernels
  ☆231Updated last year
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆114Updated last year
• yifuwang / symm-mem-recipes
  ☆116Updated 8 months ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆343Updated 5 months ago
• stanford-futuredata / stk
  ☆111Updated last year
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆519Updated this week
• axonn-ai / axonn
  A parallel framework for training deep neural networks
  ☆63Updated 6 months ago
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆70Updated 4 months ago
• NVIDIA / nvshmem
  NVIDIA NVSHMEM is a parallel programming interface for NVIDIA GPUs based on OpenSHMEM. NVSHMEM can significantly reduce multi-process com…
  ☆311Updated this week
• andylolu2 / simpleGEMM
  The simplest but fast implementation of matrix multiplication in CUDA.
  ☆38Updated last year
• exists-forall / striped_attention
  ☆41Updated last year
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆365Updated this week