Bojian Zheng

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 13

Top Topics

Training Algorithm

Undecimated Wavelet Transform

Computationally Demanding

Memory Footprint

Top Venues

Publications

Yaoyao Ding, Cody Hao Yu, Bojian Zheng, Yizhi Liu, Yida Wang, Gennady Pekhimenko
Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor Programs. ASPLOS (2) (2023)
Bojian Zheng, Cody Hao Yu, Jie Wang, Yaoyao Ding, Yizhi Liu, Yida Wang, Gennady Pekhimenko
Grape: Practical and Efficient Graphed Execution for Dynamic Deep Neural Networks on GPUs. MICRO (2023)
Bojian Zheng, Ziheng Jiang, Cody Hao Yu, Haichen Shen, Joshua Fromm, Yizhi Liu, Yida Wang, Luis Ceze, Tianqi Chen, Gennady Pekhimenko
DietCode: Automatic Optimization for Dynamic Tensor Programs. MLSys (2022)
Muralidhar Andoorveedu, Zhanda Zhu, Bojian Zheng, Gennady Pekhimenko
Tempo: Accelerating Transformer-Based Model Training through Memory Footprint Reduction. CoRR (2022)
Yaoyao Ding, Cody Hao Yu, Bojian Zheng, Yizhi Liu, Yida Wang, Gennady Pekhimenko
Hidet: Task Mapping Programming Paradigm for Deep Learning Tensor Programs. CoRR (2022)
Ao Li, Bojian Zheng, Gennady Pekhimenko, Fan Long
Automatic Horizontal Fusion for GPU Kernels. CGO (2022)
Muralidhar Andoorveedu, Zhanda Zhu, Bojian Zheng, Gennady Pekhimenko
Tempo: Accelerating Transformer-Based Model Training through Memory Footprint Reduction. NeurIPS (2022)
Ao Li, Bojian Zheng, Gennady Pekhimenko, Fan Long
Automatic Horizontal Fusion for GPU Kernels. CoRR (2020)
Bojian Zheng, Nandita Vijaykumar, Gennady Pekhimenko
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training. ISCA (2020)
Bojian Zheng, Akshay Nair, Qiongsi Wu, Nandita Vijaykumar, Gennady Pekhimenko
EcoRNN: Fused LSTM RNN Implementation with Data Layout Optimization. CoRR (2018)
Hongyu Zhu, Mohamed Akrout, Bojian Zheng, Andrew Pelegris, Anand Jayarajan, Amar Phanishayee, Bianca Schroeder, Gennady Pekhimenko
Benchmarking and Analyzing Deep Neural Network Training. IISWC (2018)
Hongyu Zhu, Mohamed Akrout, Bojian Zheng, Andrew Pelegris, Amar Phanishayee, Bianca Schroeder, Gennady Pekhimenko
TBD: Benchmarking and Analyzing Deep Neural Network Training. CoRR (2018)
Mostafa Mahmoud, Bojian Zheng, Alberto Delmas Lascorz, Felix Heide, Jonathan Assouline, Paul Boucher, Emmanuel Onzon, Andreas Moshovos
IDEAL: image denoising accelerator. MICRO (2017)