mk1-project / quickreduceLinks
QuickReduce is a performant all-reduce library designed for AMD ROCm that supports inline compression.
☆33Updated last month
Alternatives and similar repositories for quickreduce
Users that are interested in quickreduce are comparing it to the libraries listed below
Sorting:
- ☆124Updated 9 months ago
- ☆240Updated last year
- Fast low-bit matmul kernels in Triton☆379Updated 2 weeks ago
- Applied AI experiments and examples for PyTorch☆299Updated last month
- AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming☆83Updated this week
- Fastest kernels written from scratch☆368Updated 3 weeks ago
- An experimental CPU backend for Triton☆153Updated last week
- Perplexity GPU Kernels☆488Updated 3 weeks ago
- extensible collectives library in triton☆89Updated 6 months ago
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆336Updated last week
- Development repository for the Triton language and compiler☆135Updated this week
- ☆242Updated this week
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆232Updated 5 months ago
- ☆148Updated 5 months ago
- AI Tensor Engine for ROCm☆285Updated this week
- NVIDIA Resiliency Extension is a python package for framework developers and users to implement fault-tolerant features. It improves the …☆226Updated this week
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆265Updated 3 months ago
- ☆92Updated 11 months ago
- OpenAI Triton backend for Intel® GPUs☆211Updated this week
- A lightweight design for computation-communication overlap.☆181Updated this week
- Cataloging released Triton kernels.☆261Updated last month
- Ahead of Time (AOT) Triton Math Library☆78Updated last week
- kernels, of the mega variety☆579Updated 2 weeks ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆258Updated this week
- ☆120Updated 6 months ago
- Github mirror of trition-lang/triton repo.☆84Updated this week
- ☆22Updated this week
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆116Updated last year
- Shared Middle-Layer for Triton Compilation☆289Updated last week
- CUDA Matrix Multiplication Optimization☆228Updated last year