Bojian Zheng

According to our database, Bojian Zheng authored at least 10 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Grape: Practical and Efficient Graphed Execution for Dynamic Deep Neural Networks on GPUs.

Bojian Zheng, Cody Hao Yu, Jie Wang, Yaoyao Ding, Yizhi Liu, Yida Wang, Gennady Pekhimenko

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor Programs.

Yaoyao Ding, Cody Hao Yu, Bojian Zheng, Yizhi Liu, Yida Wang, Gennady Pekhimenko

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Tempo: Accelerating Transformer-Based Model Training through Memory Footprint Reduction.

Muralidhar Andoorveedu, Zhanda Zhu, Bojian Zheng, Gennady Pekhimenko

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DietCode: Automatic Optimization for Dynamic Tensor Programs.

Bojian Zheng, Ziheng Jiang, Cody Hao Yu, Haichen Shen, Joshua Fromm, Yizhi Liu, Yida Wang, Luis Ceze, Tianqi Chen, Gennady Pekhimenko

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Automatic Horizontal Fusion for GPU Kernels.

Ao Li, Bojian Zheng, Gennady Pekhimenko, Fan Long

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2022

2020

Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training.

Bojian Zheng, Nandita Vijaykumar, Gennady Pekhimenko

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

2018

EcoRNN: Fused LSTM RNN Implementation with Data Layout Optimization.

Bojian Zheng, Akshay Nair, Qiongsi Wu, Nandita Vijaykumar, Gennady Pekhimenko

CoRR, 2018

TBD: Benchmarking and Analyzing Deep Neural Network Training.

Hongyu Zhu, Mohamed Akrout, Bojian Zheng, Andrew Pelegris, Amar Phanishayee, Bianca Schroeder, Gennady Pekhimenko

CoRR, 2018

Benchmarking and Analyzing Deep Neural Network Training.

Hongyu Zhu, Mohamed Akrout, Bojian Zheng, Andrew Pelegris, Anand Jayarajan, Amar Phanishayee, Bianca Schroeder, Gennady Pekhimenko

Proceedings of the 2018 IEEE International Symposium on Workload Characterization, 2018

2017

IDEAL: image denoising accelerator.

Mostafa Mahmoud, Bojian Zheng, Alberto Delmas Lascorz, Felix Heide, Jonathan Assouline, Paul Boucher, Emmanuel Onzon, Andreas Moshovos

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017