By Topic: [QC-System] [AI-GPUs & AI-Compiler] [AI-Arch] [Others]

[SC'22]

EL-Rec: Efficient Large-scale Recommendation Model Training via Tensor-train Embedding

[To appear]
Zheng Wang, Yuke Wang, Boyuan Feng, Dheevatsa Mudigere, Bharath Muthiah, Yufei Ding

[SC'22]

ATL: Accelerated Training for Transformer-based Models on GPUs

[To appear]
Xiaohui Wang, Yang Wei, Guyue Huang, Ying Xiong, Xian Qian, Yufei Ding, Lei Li, Mingxuan Wang

[USENIX ATC'22]

Faith: An Efficient Framework for Transformer Verification on GPUs

[To appear]
Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding

[DAC'22]

Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning

[To appear]
Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding and Yuan Xie.

[DAC'22]

Heuristic Adaptability to Input Dynamics for SpMM on GPUs

[To appear]
Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang.

[MLSys’22]

Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective

[To appear]
Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang.

[PPoPP'22]

QGTC: Accelerating Quantized GNN via GPU Tensor Core GPUs

[To appear]
Yuke Wang*, Boyuan Feng*, Yufei Ding. (* co-primary authors)

[CIKM'21]

An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks (Spotlight)

[PDF]
Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding.

[SC'21]

APNN-TC: Accelerating Arbitrary-Precision Neural Networks on Tensor Cores

[PDF]
Boyuan Feng*, Yuke Wang*, Tong Geng, Ang Li, Yufei Ding (* co-primary authors).

[SC'21]

Efficient Tensor Core-based GPU Kernels for Structured Sparsity under Reduced Precision

[PDF] `
Zhaodong Chen*, Zheng Qu*, Liu Liu, Yufei Ding, Yuan Xie (* co-primary authors).

[USENIX ATC'21]

Palleon: A Runtime System for Efficient Video Processing toward Dynamic Class Skew

[PDF]
Boyuan Feng, Yuke Wang, Gushu Li, Yuan Xie, Yufei Ding.

[OSDI'21]

GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs

[PDF]
Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding.

[IPDPS'21]

DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolution

[PDF]
Yuke Wang, Boyuan Feng, Yufei Ding.

[PPoPP'21]

EGEMM-TC: Accelerating Scientific Computing on Tensor Cores with Extended Precision

[PDF]
Boyuan Feng, Yuke Wang, Guoyang Chen, Weifeng Zhang, Yuan Xie, Yufei Ding.

[SysML'18]

TOP: A Compiler-Based Framework for Optimizing Machine Learning Algorithms through Generalized Triangle Inequality

[PDF]
Yufei Ding, Lin Ning, Hui Guan, Xipeng Shen, Madanlal Musuvathi, Todd Mytkowicz.
SysML, Feb 16th, 2018. Paul Brest Hall · Stanford University.

[ICDE'18]

Reuse-Centric K-Means Configuration

[PDF]
Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim.
34th IEEE International Conference on Data Engineering. April 16th – 20th, 2018.

[PLDI'17]

Generalizations of the Theory and Deployment of Triangular Inequality for Compiler-Based Strength Reduction

[PDF]
Yufei Ding, Lin Ning, Hui Guan, Xipeng Shen.
The ACM SIGPLAN Conference on Programming Language Design and Implementation 2017. [Acceptance ratio: 15% (47/322).]

[ICDE'17]

Sweet KNN: An Efficient KNN on GPU through Reconciliation of Redundancy and Regularity

[PDF]
Guoyang Chen, Yufei Ding, Xipeng Shen.
2017 IEEE International Conference on Data Engineering, San Diego, California, April 19-22, 2017.

[PLDI'15]

Autotuning algorithmic choice for input sensitivity

[PDF]
Yufei Ding, Jason Ansel, Kalyan Veeramachaneni, Xipeng Shen, Una-May O'Reilly, Saman Amarasinghe.
ACM SIGPLAN conference on Programming Language Design and Implementation, Portland, Orgon, June 13-17, 2015. [Acceptance ratio: 19% (58/303).]

[VLDB'15]

TOP: A Framework for Enabling Algorithmic Optimizations for Distance-Related Problems

[PDF]
Yufei Ding, Xipeng Shen, Madan Musuvathi, Todd Mytkowicz.
The 41st International Conference on Very Large Data Bases, Kohala Coast, Hawaii, August, 2015.