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07/11/2022
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
Sparse tensors are rapidly becoming critical components of modern deep l...
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07/09/2022
TensorIR: An Abstraction for Automatic Tensorized Program Optimization
Deploying deep learning models on various devices has become an importan...
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08/26/2020
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems
Graph neural networks (GNNs) are gaining increasing popularity as a prom...
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04/18/2020
DGL-KE: Training Knowledge Graph Embeddings at Scale
Knowledge graphs have emerged as a key abstraction for organizing inform...
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02/14/2020
Transformer on a Diet
Transformer has been widely used thanks to its ability to capture sequen...
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11/11/2019