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Mao Yang
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Name:
Mao Yang
Affiliation:
Microsoft Research
Contributions
2025
Principles and Practice of Parallel Programming
Author of FlashFFTStencil: Bridging Fast Fourier Transforms to Memory-Efficient Stencil Computations on Tensor Core Units within the Main Conference-track
Author of Jigsaw: Toward Conflict-free Vectorized Stencil Computation by Tessellating Swizzled Registers within the Main Conference-track
2024
ICSE
Author of An Empirical Study on Low GPU Utilization of Deep Learning Jobs within the Research Track-track
Principles and Practice of Parallel Programming
Author of ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores within the Main Conference-track
2023
ICSE
Author of An Empirical Study on Quality Issues of Deep Learning Platform within the SEIP - Software Engineering in Practice-track
Author of Runtime Performance Prediction for Deep Learning Models with Graph Neural Network within the SEIP - Software Engineering in Practice-track
2022
ICSE
Author of Refty: Refinement Types for Valid Deep Learning Models within the Technical Track-track
2021
ICSE
Author of Resource-Guided Configuration Space Reduction for Deep Learning Models within the Technical Track-track
2020
ESEC/FSE
Author of Estimating GPU Memory Consumption of Deep Learning Models within the Industry Papers-track
Author of Enhancing the Interoperability between Deep Learning Frameworks by Model Conversion within the Industry Papers-track
ICSE
Author of An Empirical Study on Program Failures of Deep Learning Jobs within the Technical Papers-track
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Tue 1 Apr 06:26
