TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs
Sparse convolution plays a pivotal role in emerging workloads, including point cloud processing in AR/VR, autonomous driving, and graph understanding in recommendation systems. Since the computation pattern is sparse and irregular, specialized high-performance kernels are required. Existing GPU libr...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
ACM|56th Annual IEEE/ACM International Symposium on Microarchitecture
2024
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| Online Access: | https://hdl.handle.net/1721.1/153260 |