ROCm / pyrsmiLinks
python package of rocm-smi-lib
☆21Updated 9 months ago
Alternatives and similar repositories for pyrsmi
Users that are interested in pyrsmi are comparing it to the libraries listed below
Sorting:
- ☆72Updated 3 months ago
- extensible collectives library in triton☆86Updated 2 months ago
- ☆81Updated 7 months ago
- ☆21Updated 3 months ago
- Write a fast kernel and run it on Discord. See how you compare against the best!☆46Updated this week
- Ahead of Time (AOT) Triton Math Library☆67Updated last week
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆109Updated 11 months ago
- Framework to reduce autotune overhead to zero for well known deployments.☆77Updated last week
- DeeperGEMM: crazy optimized version☆69Updated last month
- Boosting 4-bit inference kernels with 2:4 Sparsity☆79Updated 9 months ago
- ☆105Updated 10 months ago
- ☆38Updated this week
- Intel® Extension for DeepSpeed* is an extension to DeepSpeed that brings feature support with SYCL kernels on Intel GPU(XPU) device. Note…☆61Updated last week
- Collection of kernels written in Triton language☆132Updated 2 months ago
- An experimental CPU backend for Triton (https//github.com/openai/triton)☆43Updated 3 months ago
- A safetensors extension to efficiently store sparse quantized tensors on disk☆129Updated this week
- Benchmarks to capture important workloads.☆31Updated 4 months ago
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆90Updated 3 weeks ago
- ☆68Updated this week
- This repository contains the experimental PyTorch native float8 training UX☆224Updated 10 months ago
- Applied AI experiments and examples for PyTorch☆277Updated 3 weeks ago
- TORCH_LOGS parser for PT2☆43Updated last month
- Explore training for quantized models☆18Updated last week
- A bunch of kernels that might make stuff slower 😉☆51Updated this week
- Repository for CPU Kernel Generation for LLM Inference☆26Updated last year
- Machine Learning Agility (MLAgility) benchmark and benchmarking tools☆39Updated last month
- Fast low-bit matmul kernels in Triton☆323Updated last week
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆167Updated this week
- Test suite for probing the numerical behavior of NVIDIA tensor cores☆40Updated 11 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆252Updated 8 months ago