YukeWang96/GNNAdvisor_OSDI21
Artifact for OSDI'21 GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs.
This project offers an optimized way to run Graph Neural Network (GNN) computations on NVIDIA GPUs. It takes raw graph datasets, often represented as edge lists, and processes them much faster than standard methods. It's designed for researchers and practitioners in machine learning or data science who work with large-scale graph data.
No commits in the last 6 months.
Use this if you are performing GNN training or inference on large graph datasets and need to significantly speed up your computations on NVIDIA GPUs.
Not ideal if you are working with smaller datasets, do not have access to high-performance NVIDIA GPUs, or are primarily focused on CPU-based graph processing.
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Language
Cuda
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Last pushed
Mar 02, 2023
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