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Top 6 Cuda GPU Projects
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raft
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications. (by rapidsai)
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LSQR-CUDA
This is a LSQR-CUDA implementation written by Lawrence Ayers under the supervision of Stefan Guthe of the GRIS institute at the Technische Universität Darmstadt. The LSQR library was authored Chris Paige and Michael Saunders.
Project mention: Raft: Fundamental widely-used algorithms and primitives for machine learning | news.ycombinator.com | 2024-02-22
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Cuda GPU related posts
- CuGraph – GPU-accelerated graph analytics
- GPU implementation of shortest path?
- NetworkX 3.0 has been released
- Is there a multi regression model that works on GPU?
- Tools and Programs for CUDA development
- [D] What's your favorite unpopular/forgotten Machine Learning method?
- What are the advantages and disadvantages of using GPU for machine learning/ deep learning/ scientific computation over the conventional CPU software acceleration?
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Index
What are some of the best open-source GPU projects in Cuda? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | cugraph | 1,567 |
| 2 | raft | 608 |
| 3 | cuhnsw | 112 |
| 4 | CUDA-Guide | 45 |
| 5 | LSQR-CUDA | 12 |
| 6 | gpu-desktop-calculator | 7 |
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