Publications

Filters: Author is Wang, Yuke [Clear All Filters]

2021

Feng B, Wang Y, Geng T, Li A, Ding Y. 2021. APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores. arXiv preprint arXiv:2106.12169.

Wang Y, Feng B, Ding Y. 2021. DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions. arXiv preprint arXiv:2101.00745.

Wang Y, Feng B, Peng X, Ding Y. 2021. An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks.

Wang Y, Feng B, Li G, Li S, Deng L, Xie Y, Ding Y. 2021. GNNAdvisor: An Adaptive and Efficient Runtime System for ${$GNN$}$ Acceleration on GPUs. 15th ${$USENIX$}$ Symposium on Operating Systems Design and Implementation (${$OSDI$}$ 21).

Feng B, Wang Y, Li G, Xie Y, Ding Y. 2021. Palleon: A Runtime System for Efficient Video Processing toward Dynamic Class Skew. 2021 ${$USENIX$}$ Annual Technical Conference (${$USENIX$}$${$ATC$}$ 21).

Feng B, Wang Y, Ding Y. 2021. Saga: Sparse Adversarial Attack on EEG-Based Brain Computer Interface. ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

2020

Liu L, Deng L, Chen Z, Wang Y, Li S, Zhang J, Yang Y, Gu Z, Ding Y, Xie Y. 2020. Boosting deep neural network efficiency with dual-module inference. International Conference on Machine Learning.

Acknowledgements

Please acknowledge the CSC in publications and presentations if you are using our facilities computing resources in your research.

Use was made of computational facilities purchased with funds from the National Science Foundation (CNS-1725797) and administered by the Center for Scientific Computing (CSC). The CSC is supported by the California NanoSystems Institute and the Materials Research Science and Engineering Center (MRSEC; NSF DMR 1720256) at UC Santa Barbara.