From d02839c47c0fe9394b5a7b7c7c7c54bd442b7e34 Mon Sep 17 00:00:00 2001 From: Jake Hemstad Date: Fri, 22 Sep 2023 17:14:20 +0000 Subject: [PATCH 1/3] [skip ci] Add list of CCCL users. --- README.md | 28 ++++++++++++++++++++++++++++ 1 file changed, 28 insertions(+) diff --git a/README.md b/README.md index b78d1ac6e8..23a302c543 100644 --- a/README.md +++ b/README.md @@ -363,3 +363,31 @@ The deprecation period will depend on the impact of the change, but will usually ## CI Pipeline Overview For a detailed overview of the CI pipeline, see [ci-overview.md](ci-overview.md). + +## Projects Using CCCL + +Does your project use CCCL? Open a PR add your project to this list! + +- [AmgX](https://github.com/NVIDIA/AMGX) - Multi-grid linear solver library +- [ColossalAI](https://github.com/hpcaitech/ColossalAI) - Tools for writing distributed deep learning models +- [cuDF](https://github.com/rapidsai/cudf) - Algorithms and file readers for ETL data analytics +- [cuGraph](https://github.com/rapidsai/cugraph) - Algorithms for graph analytics +- [cuML](https://github.com/rapidsai/cuml) - Machine learning algorithms and primitives +- [cuSOLVER](https://developer.nvidia.com/cusolver) - Dense and sparse linear solvers +- [cuSpatial](https://github.com/rapidsai/cuspatial) - Algorithms for geospatial operations +- [GooFit](https://github.com/GooFit/GooFit) - Library for maximum-likelihood fits +- [HeavyDB](https://github.com/heavyai/heavydb) - SQL database engine +- [HOOMD](https://github.com/glotzerlab/hoomd-blue) - Monte Carlo and molecular dynamics simulations +- [HugeCTR](https://github.com/NVIDIA-Merlin/HugeCTR) - GPU-accelerated recommender framework +- [Hydra](https://github.com/MultithreadCorner/Hydra) - High-energy Physics Data Analysis +- [Hypre](https://github.com/hypre-space/hypre) - Multigrid linear solvers +- [LightSeq](https://github.com/bytedance/lightseq) - Training and inference for sequence processing and generation +- [PyTorch](https://github.com/pytorch/pytorch) - Tensor and neural network computations +- [Qiskit](https://github.com/Qiskit/qiskit-aer) - High performance simulator for quantum circuits +- [QUDA](https://github.com/lattice/quda) - Lattice quantum chromodynamics (QCD) computations +- [RAFT](https://github.com/rapidsai/raft) - Algorithms and primitives for machine learning +- [TensorFlow](https://github.com/tensorflow/tensorflow) - End-to-end platform for machine learning +- [TensorRT](https://github.com/NVIDIA/TensorRT) - Deep leaning inference +- [tsne-cuda](https://github.com/CannyLab/tsne-cuda) - Stochastic Neighborhood Embedding library +- [Visualization Toolkit (VTK)](https://gitlab.kitware.com/vtk/vtk) - Rendering and visualization library +- [XGBoost](https://github.com/dmlc/xgboost) - Gradient boosting machine learning algorithms \ No newline at end of file From 3e8d4cd01257a1f783dd878f93bfb3c75785a813 Mon Sep 17 00:00:00 2001 From: Jake Hemstad Date: Fri, 22 Sep 2023 17:17:54 +0000 Subject: [PATCH 2/3] [skip ci] Add link to automatically bring up README in editor. --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 23a302c543..2256d4bc70 100644 --- a/README.md +++ b/README.md @@ -366,7 +366,7 @@ For a detailed overview of the CI pipeline, see [ci-overview.md](ci-overview.md) ## Projects Using CCCL -Does your project use CCCL? Open a PR add your project to this list! +Does your project use CCCL? [Open a PR to add your project to this list!](https://github.com/NVIDIA/cccl/edit/main/README.md) - [AmgX](https://github.com/NVIDIA/AMGX) - Multi-grid linear solver library - [ColossalAI](https://github.com/hpcaitech/ColossalAI) - Tools for writing distributed deep learning models From 6faa35dc0639671afd9f8cd377293ba0d0d37a68 Mon Sep 17 00:00:00 2001 From: Jake Hemstad Date: Fri, 22 Sep 2023 13:27:05 -0500 Subject: [PATCH 3/3] Update README.md Co-authored-by: Leo Fang --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 2256d4bc70..28d25ffe88 100644 --- a/README.md +++ b/README.md @@ -373,6 +373,7 @@ Does your project use CCCL? [Open a PR to add your project to this list!](https: - [cuDF](https://github.com/rapidsai/cudf) - Algorithms and file readers for ETL data analytics - [cuGraph](https://github.com/rapidsai/cugraph) - Algorithms for graph analytics - [cuML](https://github.com/rapidsai/cuml) - Machine learning algorithms and primitives +- [CuPy](https://cupy.dev) - NumPy & SciPy for GPU - [cuSOLVER](https://developer.nvidia.com/cusolver) - Dense and sparse linear solvers - [cuSpatial](https://github.com/rapidsai/cuspatial) - Algorithms for geospatial operations - [GooFit](https://github.com/GooFit/GooFit) - Library for maximum-likelihood fits