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This project forked from rapidsai/cugraph
cuGraph - RAPIDS Graph Analytics Library
License: Apache License 2.0
CMake 0.64%
C++ 5.49%
Python 9.89%
Cuda 11.00%
Shell 0.58%
Dockerfile 0.01%
Jupyter Notebook 72.39%
cugraph's Introduction
- 🔭 I'm currently the Engineering Manager for the team that maintains the CUDA C++ Core Libraries at NVIDIA.
- 🌱 Previously, I was deeply involved in the RAPIDS ecosystem, where I was a primary maintainer and designer for the libcudf and RMM libraries.
- 🚀 I helped kickstart and maintain the cuCollections project for GPU-acelerated data structures like hash tables.
- 💡 I'm passionate about building high-quality, high-performance CUDA C++ software.
- 🎯 My mission is to make CUDA C++ more delightful for developers.
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