Publications

Filters: Author is Ding, Yufei [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.

Li G, Wu A, Shi Y, Javadi-Abhari A, Ding Y, Xie Y. 2021. On the Co-Design of Quantum Software and Hardware. Proceedings of the Eight Annual ACM International Conference on Nanoscale Computing and Communication.

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.

Chen Z, Qu Z, Liu L, Ding Y, Xie Y. 2021. Efficient Tensor Core-Based GPU Kernels for Structured Sparsity under Reduced Precision.

Liu L, Lin J, Qu Z, Ding Y, Xie Y. 2021. ENMC: Extreme Near-Memory Classification via Approximate Screening.

Liu L, Lin J, Qu Z, Ding Y, Xie Y. 2021. ENMC: Extreme Near-Memory Classification via Approximate Screening. MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture.

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.

Hu X, Liang L, Li S, Deng L, Zuo P, Ji Y, Xie X, Ding Y, Liu C, Sherwood T et al.. 2020. Deepsniffer: A dnn model extraction framework based on learning architectural hints. Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems.

Liu L, Qu Z, Deng L, Tu F, Li S, Hu X, Gu Z, Ding Y, Xie Y. 2020. Duet: Boosting deep neural network efficiency on dual-module architecture. 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO).

Li G, Ding Y, Xie Y. 2020. Eliminating redundant computation in noisy quantum computing simulation. 2020 57th ACM/IEEE Design Automation Conference (DAC).

Gu P, Xie X, Ding Y, Chen G, Zhang W, Niu D, Xie Y. 2020. iPIM: Programmable in-memory image processing accelerator using near-bank architecture. 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA).

Li G, Ding Y, Xie Y. 2020. Towards efficient superconducting quantum processor architecture design. Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems.

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.