A practical guide to high-performance gluon kernel development on AMD GFX9 GPUs.
☆58Nov 2, 2026Updated last week
Alternatives and similar repositories for gfx950-gluon-tutorials
Users that are interested in gfx950-gluon-tutorials are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- FlyDSL is the Python front‑end of the project: a Flexible Layout Python DSL for expressing tiling, partitioning, data movement, and kerne…☆308Updated this week
- ☆77Updated this week
- ROCprof Compute Viewer (RCV) is a tool for visualizing and analyzing GPU thread trace data collected using rocprofv3☆80Nov 3, 2026Updated last week
- A visualizer for the ROCm Profiler Tools☆34Updated this week
- Modular RDMA Interface☆194Updated this week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Fast and Furious AMD Kernels☆485Oct 15, 2026Updated 3 weeks ago
- ☆19Oct 22, 2026Updated 3 weeks ago
- A flexible and high-performance training framework designed for large-scale foundation model training on AMD GPUs☆141Updated this week
- amdgpu example code in hip/asm☆71Nov 4, 2026Updated last week
- ☆30Nov 2, 2026Updated last week
- Ongoing research training transformer models at scale☆44Updated this week
- A tool for generating information about the matrix multiplication instructions in AMD Radeon™ and AMD Instinct™ accelerators☆146Updated this week
- ROCm CLI is a command-line tool for setting up and running local AI on AMD GPUs, with a full-screen TUI dashboard for GPU telemetry, mode…☆51Updated this week
- AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming☆205Updated this week
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- DEPRECATED REPOSITORY. ROCm Inference Transfer Library (RIXL) is a port of the NIXL library for AMD GPUs. See README_rocm.md for AMD spe…☆15Updated this week
- Development repository for the Triton language and compiler☆146Nov 5, 2026Updated last week
- OpenVINO LLM Benchmark☆11Dec 7, 2023Updated 2 years ago
- Bandwidth test for ROCm☆90Updated this week
- AI Tensor Engine for ROCm☆610Updated this week
- ☆18Nov 2, 2026Updated last week
- Ahead of Time (AOT) Triton Math Library☆104Updated this week
- Automating analysis from trace files☆101Updated this week
- Curated high-performance TIRx GPU kernels☆37Updated this week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [DEPRECATED] Moved to ROCm/rocm-libraries repo. NOTE: develop branch is maintained as a read-only mirror☆551Updated this week
- AMD Deployment Assistant☆10Oct 21, 2026Updated 3 weeks ago
- AiTer Optimized Model☆207Updated this week
- OpenMP offload playground☆10Nov 16, 2024Updated last year
- SYCL materials for ENCCS workshop☆25Apr 25, 2023Updated 3 years ago
- Computes the Henry coefficient of methane in IRMOF-1☆10Oct 5, 2021Updated 5 years ago
- ☆197Nov 2, 2026Updated last week
- ☆13Jul 21, 2026Updated 3 months ago
- Github mirror of trition-lang/triton repo.☆207Updated this week
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Batched square compact-Householder QR factorization.☆15Jul 2, 2026Updated 4 months ago
- An implemention of parallel marching cubes algorithm by CUDA☆10Sep 23, 2021Updated 5 years ago
- A high-performance acceleration library dedicated to large-scale model training on AMD GPUs☆71Updated this week
- ☆10May 20, 2022Updated 4 years ago
- A molecular docking mini app☆11Dec 14, 2023Updated 2 years ago
- Artifact for 'Register Optimizations for Stencils on GPUs'☆10Sep 18, 2018Updated 8 years ago
- Materials for workshop on GPU computation for statistics, data science, machine learning applications.☆14Sep 8, 2016Updated 10 years ago
Are these results useful?