Cody Hao Yu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 40

Top Topics

Global Optimization

Pipeline Architecture

Top Venues

Publications

Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang
Slapo: A Schedule Language for Progressive Optimization of Large Deep Learning Model Training. ASPLOS (2) (2024)
Ruixin Wang, Minghai Lu, Cody Hao Yu, Yi-Hsiang Lai, Tianyi Zhang
Automated Deep Learning Optimization via DSL-Based Source Code Transformation. CoRR (2024)
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)
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, Ion Stoica
Efficient Memory Management for Large Language Model Serving with PagedAttention. SOSP (2023)
Cody Hao Yu, Haozheng Fan, Guangtai Huang, Zhen Jia, Yizhi Liu, Jie Wang, Zach Zheng, Yuan Zhou, Haichen Shen, Junru Shao, Mu Li, Yida Wang
RAF: Holistic Compilation for Deep Learning Model Training. CoRR (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)
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph E. Gonzalez, Hao Zhang, Ion Stoica
Efficient Memory Management for Large Language Model Serving with PagedAttention. CoRR (2023)
Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen
TensorIR: An Abstraction for Automatic Tensorized Program Optimization. ASPLOS (2) (2023)
Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, Jeff Huang, Chuyue Sun, Cody Hao Yu, Shiyi Cao, Christos Kozyrakis, Ion Stoica, Joseph E. Gonzalez, Clark W. Barrett, Ying Sheng
Efficiently Programming Large Language Models using SGLang. CoRR (2023)
Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang
Decoupled Model Schedule for Deep Learning Training. CoRR (2023)
Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, Tianqi Chen
Tensor Program Optimization with Probabilistic Programs. NeurIPS (2022)
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)
Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong
AutoDSE: Enabling Software Programmers to Design Efficient FPGA Accelerators. ACM Trans. Design Autom. Electr. Syst. 27 (4) (2022)
Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen
TensorIR: An Abstraction for Automatic Tensorized Program Optimization. CoRR (2022)
Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, Tianqi Chen
Tensor Program Optimization with Probabilistic Programs. 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)
Zhi Chen, Cody Hao Yu, Trevor Morris, Jorn Tuyls, Yi-Hsiang Lai, Jared Roesch, Elliott Delaye, Vin Sharma, Yida Wang
Bring Your Own Codegen to Deep Learning Compiler. CoRR (2021)
Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong
AutoDSE: Enabling Software Programmers Design Efficient FPGA Accelerators. FPGA (2021)
Peipei Zhou, Jiayi Sheng, Cody Hao Yu, Peng Wei, Jie Wang, Di Wu, Jason Cong
MOCHA: Multinode Cost Optimization in Heterogeneous Clouds with Accelerators. FPGA (2021)
Cody Hao Yu, Xingjian Shi, Haichen Shen, Zhi Chen, Mu Li, Yida Wang
Lorien: Efficient Deep Learning Workloads Delivery. SoCC (2021)
Licheng Guo, Jason Lau, Yuze Chi, Jie Wang, Cody Hao Yu, Zhe Chen, Zhiru Zhang, Jason Cong
Analysis and Optimization of the Implicit Broadcasts in FPGA HLS to Improve Maximum Frequency. DAC (2020)
Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong
AutoDSE: Enabling Software Programmers Design Efficient FPGA Accelerators. CoRR (2020)
Lianmin Zheng, Chengfan Jia, Minmin Sun, Zhao Wu, Cody Hao Yu, Ameer Haj-Ali, Yida Wang, Jun Yang, Danyang Zhuo, Koushik Sen, Joseph E. Gonzalez, Ion Stoica
Ansor : Generating High-Performance Tensor Programs for Deep Learning. CoRR (2020)
Lianmin Zheng, Chengfan Jia, Minmin Sun, Zhao Wu, Cody Hao Yu, Ameer Haj-Ali, Yida Wang, Jun Yang, Danyang Zhuo, Koushik Sen, Joseph E. Gonzalez, Ion Stoica
Ansor: Generating High-Performance Tensor Programs for Deep Learning. OSDI (2020)
Licheng Guo, Jason Lau, Yuze Chi, Jie Wang, Cody Hao Yu, Zhe Chen, Zhiru Zhang, Jason Cong
Analysis and Optimization of the Implicit Broadcasts in FPGA HLS to Improve Maximum Frequency. FPGA (2020)
Xuechao Wei, Yun Liang, Peng Zhang, Cody Hao Yu, Jason Cong
Overcoming Data Transfer Bottlenecks in DNN Accelerators via Layer-Conscious Memory Managment. FPGA (2019)
Yi-Hsiang Lai, Yuze Chi, Yuwei Hu, Jie Wang, Cody Hao Yu, Yuan Zhou, Jason Cong, Zhiru Zhang
HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Reconfigurable Computing. FPGA (2019)
Jason Cong, Zhenman Fang, Muhuan Huang, Peng Wei, Di Wu, Cody Hao Yu
Customizable Computing - From Single Chip to Datacenters. Proc. IEEE 107 (1) (2019)
Cody Hao Yu, Peng Wei, Max Grossman, Peng Zhang, Vivek Sarkar, Jason Cong
S2FA: an accelerator automation framework for heterogeneous computing in datacenters. DAC (2018)
Xuechao Wei, Yun Liang, Xiuhong Li, Cody Hao Yu, Peng Zhang, Jason Cong
TGPA: tile-grained pipeline architecture for low latency CNN inference. ICCAD (2018)
Jason Cong, Peng Wei, Cody Hao Yu, Peng Zhang
AutoAccel: Automated Accelerator Generation and Optimization with Composable, Parallel and Pipeline Architecture. CoRR (2018)
Jason Cong, Peng Wei, Cody Hao Yu, Peng Zhang
Automated accelerator generation and optimization with composable, parallel and pipeline architecture. DAC (2018)
Jason Cong, Zhenman Fang, Yuchen Hao, Peng Wei, Cody Hao Yu, Chen Zhang, Peipei Zhou
Best-Effort FPGA Programming: A Few Steps Can Go a Long Way. CoRR (2018)
Jason Cong, Peng Wei, Cody Hao Yu
From JVM to FPGA: Bridging Abstraction Hierarchy via Optimized Deep Pipelining. HotCloud (2018)
Jason Cong, Peng Wei, Cody Hao Yu, Peipei Zhou
Latte: Locality Aware Transformation for High-Level Synthesis. FCCM (2018)
Jason Cong, Peng Wei, Cody Hao Yu, Peipei Zhou
Bandwidth Optimization Through On-Chip Memory Restructuring for HLS. DAC (2017)
Xuechao Wei, Cody Hao Yu, Peng Zhang, Youxiang Chen, Yuxin Wang, Han Hu, Yun Liang, Jason Cong
Automated Systolic Array Architecture Synthesis for High Throughput CNN Inference on FPGAs. DAC (2017)
Jason Cong, Muhuan Huang, Di Wu, Cody Hao Yu
Invited - Heterogeneous datacenters: options and opportunities. DAC (2016)
Mau-Chung Frank Chang, Yu-Ting Chen, Jason Cong, Po-Tsang Huang, Chun-Liang Kuo, Cody Hao Yu
The SMEM Seeding Acceleration for DNA Sequence Alignment. FCCM (2016)
Muhuan Huang, Di Wu, Cody Hao Yu, Zhenman Fang, Matteo Interlandi, Tyson Condie, Jason Cong
Programming and Runtime Support to Blaze FPGA Accelerator Deployment at Datacenter Scale. SoCC (2016)
Jason Cong, Cody Hao Yu
Impact of Loop Transformations on Software Reliability. ICCAD (2015)
Cody Hao Yu, Chiao-Ling Lung, Yi-Lun Ho, Ruei-Siang Hsu, Ding-Ming Kwai, Shih-Chieh Chang
Thermal-Aware On-Line Scheduler for 3-D Many-Core Processor Throughput Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33 (5) (2014)