PEAK: Generating High-Performance Schedules in MLIR
Amir Tavakkoli*, Sameeran Joshi*, Shreya Singh, Yufan Xu, P. Sadayappan, Marry Hall
LCPC 2023
Effective Performance Modeling and Domain-Specific Compiler Optimization of CNNs for GPU
Yufan Xu, Qiwei Yuan, Erik Curtis Barton, Rui Li, P. Sadayappan, Aravind Sukumaran-Rajam
PACT 2022
Training of Deep Learning Pipelines on Memory-Constrained GPUs via Segmented Fused-Tiled Execution
Yufan Xu, Saurabh Raje, Atanas Rountev, Gerald Sabin, Aravind Sukumaran-Rajam, P. Sadayappan
CC 2022
Efficient Distributed Algorithms for Convolutional Neural Networks
Rui Li, Yufan Xu, Aravind Sukumaran-Rajam, Atanas Rountev, P. Sadayappan
SPAA 2021
Analytical characterization and design space exploration for optimization of CNNs
Rui Li, Yufan Xu, Aravind Sukumaran-Rajam, Atanas Rountev, P. Sadayappan
ASPLOS 2021
Dependence-Aware, Unbounded Sound Predictive Race Detection
Kaan Genç, Jake Roemer, Yufan Xu, Michael D. Bond
OOPSLA 2019
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