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
  ☆90Updated 7 months ago
• triton-lang / kernels
  ☆93Updated 11 months ago
• open-lm-engine / accelerated-model-architectures
  A bunch of kernels that might make stuff slower 😉
  ☆63Updated this week
• microsoft / TileFusion
  TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.
  ☆100Updated 4 months ago
• IST-DASLab / qutlass
  QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
  ☆120Updated last week
• meta-pytorch / BackendBench
  How to ensure correctness and ship LLM generated kernels in PyTorch
  ☆107Updated last week
• meta-pytorch / kraken
  Triton-based Symmetric Memory operators and examples
  ☆48Updated last week
• ColfaxResearch / layout-categories
  This repository contains companion software for the Colfax Research paper "Categorical Foundations for CuTe Layouts".
  ☆71Updated last month
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆84Updated last month
• stanford-futuredata / stk
  ☆112Updated last year
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆125Updated 5 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆242Updated this week
• yifuwang / symm-mem-recipes
  ☆144Updated 10 months ago
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆301Updated 2 months ago
• exists-forall / striped_attention
  ☆41Updated last year
• ademeure / QuickRunCUDA
  ☆13Updated 3 weeks ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆155Updated last year
• NVIDIA / jaxpp
  JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training
  ☆55Updated 2 weeks ago
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆264Updated last week
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆72Updated 5 months ago
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆84Updated last year
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆263Updated last month
• ColfaxResearch / cutlass-kernels
  ☆241Updated last year
• flashinfer-ai / cutlass-viz
  ☆65Updated 6 months ago
• pytorch / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆491Updated this week
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆117Updated last year
• fzyzcjy / torch_utils
  Utility scripts for PyTorch (e.g. Memory profiler that understands more low-level allocations such as NCCL)
  ☆62Updated last month
• axonn-ai / axonn
  Parallel framework for training and fine-tuning deep neural networks
  ☆65Updated last week
• HanGuo97 / hilt
  ☆35Updated last week
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆159Updated 6 months ago