Alternatives and similar repositories for pyrsmi

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

• deepspeedai / DeepSpeed-Kernels
  ☆68Updated last month
• cchan / tccl
  extensible collectives library in triton
  ☆86Updated last month
• lianakoleva / no-libtorch-compile
  ☆21Updated 2 months ago
• ROCm / TransformerEngine
  ☆32Updated this week
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆44Updated last week
• ROCm / aotriton
  Ahead of Time (AOT) Triton Math Library
  ☆63Updated this week
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆70Updated this week
• intel / intel-extension-for-deepspeed
  Intel® Extension for DeepSpeed* is an extension to DeepSpeed that brings feature support with SYCL kernels on Intel GPU(XPU) device. Note…
  ☆61Updated 2 months ago
• intel / torch-ccl
  oneCCL Bindings for Pytorch*
  ☆97Updated 2 weeks ago
• hpcaitech / TensorNVMe
  A Python library transfers PyTorch tensors between CPU and NVMe
  ☆115Updated 5 months ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆106Updated 10 months ago
• pytorch-labs / triton-cpu
  An experimental CPU backend for Triton (https//github.com/openai/triton)
  ☆40Updated last month
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆91Updated 3 months ago
• facebookresearch / FAMBench
  Benchmarks to capture important workloads.
  ☆31Updated 3 months ago
• NVIDIA / compute-eval
  Evaluating Large Language Models for CUDA Code Generation ComputeEval is a framework designed to generate and evaluate CUDA code from Lar…
  ☆38Updated 2 weeks ago
• microsoft / TileFusion
  TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.
  ☆84Updated this week
• triton-lang / kernels
  ☆79Updated 6 months ago
• north-numerical-computing / tensor-cores-numerical-behavior
  Test suite for probing the numerical behavior of NVIDIA tensor cores
  ☆38Updated 9 months ago
• stanford-futuredata / stk
  ☆104Updated 8 months ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆116Updated this week
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆73Updated 8 months ago
• gau-nernst / quantized-training
  Explore training for quantized models
  ☆18Updated 4 months ago
• Azure / msccl
  Microsoft Collective Communication Library
  ☆65Updated 5 months ago
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆265Updated 2 weeks ago
• graphcore-research / out-of-the-box-fp8-training
  Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.
  ☆45Updated 9 months ago
• IST-DASLab / QIGen
  Repository for CPU Kernel Generation for LLM Inference
  ☆26Updated last year
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆78Updated last year
• pytorch-labs / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆132Updated this week
• HabanaAI / Megatron-DeepSpeed
  Intel Gaudi's Megatron DeepSpeed Large Language Models for training
  ☆13Updated 4 months ago
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆124Updated this week