Cody Hao Yu - RankMe

45 papers A* 11A 8Misc 2Journal 16Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation. ASPLOS (1) Yaoyao Ding, Bohan Hou, Xiao Zhang, Allan Lin, Tianqi Chen, Cody Hao Yu, Yida Wang, Gennady Pekhimenko
2024	A	`conf`	Automated Deep Learning Optimization via DSL-Based Source Code Transformation. ISSTA Ruixin Wang, Minghai Lu, Cody Hao Yu, Yi-Hsiang Lai, Tianyi Zhang
2024	J	`jnl`	Automated Deep Learning Optimization via DSL-Based Source Code Transformation. CoRR Ruixin Wang, Minghai Lu, Cody Hao Yu, Yi-Hsiang Lai, Tianyi Zhang
2024	A*	`conf`	SGLang: Efficient Execution of Structured Language Model Programs. NeurIPS Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, Chuyue Sun, Jeff Huang, Cody Hao Yu, Shiyi Cao, Christos Kozyrakis, Ion Stoica, Joseph E. Gonzalez, Clark W. Barrett, Ying Sheng
2024	—	`conf`	Slapo: A Schedule Language for Progressive Optimization of Large Deep Learning Model Training. ASPLOS (2) Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang
2023	J	`jnl`	Decoupled Model Schedule for Deep Learning Training. CoRR Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang
2023	A*	`conf`	Efficient Memory Management for Large Language Model Serving with PagedAttention. SOSP Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, Ion Stoica
2023	J	`jnl`	Efficient Memory Management for Large Language Model Serving with PagedAttention. CoRR Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph E. Gonzalez, Hao Zhang, Ion Stoica
2023	J	`jnl`	Efficiently Programming Large Language Models using SGLang. CoRR 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
2023	A*	`conf`	Grape: Practical and Efficient Graphed Execution for Dynamic Deep Neural Networks on GPUs. MICRO Bojian Zheng, Cody Hao Yu, Jie Wang, Yaoyao Ding, Yizhi Liu, Yida Wang, Gennady Pekhimenko
2023	—	`conf`	Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor Programs. ASPLOS (2) Yaoyao Ding, Cody Hao Yu, Bojian Zheng, Yizhi Liu, Yida Wang, Gennady Pekhimenko
2023	J	`jnl`	RAF: Holistic Compilation for Deep Learning Model Training. CoRR 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
2023	—	`conf`	TensorIR: An Abstraction for Automatic Tensorized Program Optimization. ASPLOS (2) Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen
2022	J	`jnl`	AutoDSE: Enabling Software Programmers to Design Efficient FPGA Accelerators. ACM Trans. Design Autom. Electr. Syst. Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong
2022	—	`conf`	DietCode: Automatic Optimization for Dynamic Tensor Programs. MLSys Bojian Zheng, Ziheng Jiang, Cody Hao Yu, Haichen Shen, Joshua Fromm, Yizhi Liu, Yida Wang, Luis Ceze, Tianqi Chen, Gennady Pekhimenko
2022	J	`jnl`	Hidet: Task Mapping Programming Paradigm for Deep Learning Tensor Programs. CoRR Yaoyao Ding, Cody Hao Yu, Bojian Zheng, Yizhi Liu, Yida Wang, Gennady Pekhimenko
2022	A*	`conf`	Tensor Program Optimization with Probabilistic Programs. NeurIPS Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, Tianqi Chen
2022	J	`jnl`	Tensor Program Optimization with Probabilistic Programs. CoRR Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, Tianqi Chen
2022	J	`jnl`	TensorIR: An Abstraction for Automatic Tensorized Program Optimization. CoRR Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen
2021	A	`conf`	AutoDSE: Enabling Software Programmers Design Efficient FPGA Accelerators. FPGA Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong
2021	J	`jnl`	Bring Your Own Codegen to Deep Learning Compiler. CoRR Zhi Chen, Cody Hao Yu, Trevor Morris, Jorn Tuyls, Yi-Hsiang Lai, Jared Roesch, Elliott Delaye, Vin Sharma, Yida Wang
2021	—	`conf`	Lorien: Efficient Deep Learning Workloads Delivery. SoCC Cody Hao Yu, Xingjian Shi, Haichen Shen, Zhi Chen, Mu Li, Yida Wang
2021	A	`conf`	MOCHA: Multinode Cost Optimization in Heterogeneous Clouds with Accelerators. FPGA Peipei Zhou, Jiayi Sheng, Cody Hao Yu, Peng Wei, Jie Wang, Di Wu, Jason Cong
2020	A*	`conf`	Analysis and Optimization of the Implicit Broadcasts in FPGA HLS to Improve Maximum Frequency. DAC Licheng Guo, Jason Lau, Yuze Chi, Jie Wang, Cody Hao Yu, Zhe Chen, Zhiru Zhang, Jason Cong
2020	A	`conf`	Analysis and Optimization of the Implicit Broadcasts in FPGA HLS to Improve Maximum Frequency. FPGA Licheng Guo, Jason Lau, Yuze Chi, Jie Wang, Cody Hao Yu, Zhe Chen, Zhiru Zhang, Jason Cong
2020	J	`jnl`	Ansor : Generating High-Performance Tensor Programs for Deep Learning. CoRR 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
2020	A*	`conf`	Ansor: Generating High-Performance Tensor Programs for Deep Learning. OSDI 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
2020	J	`jnl`	AutoDSE: Enabling Software Programmers Design Efficient FPGA Accelerators. CoRR Atefeh Sohrabizadeh, Cody Hao Yu, Min Gao, Jason Cong
2019	J	`jnl`	Customizable Computing - From Single Chip to Datacenters. Proc. IEEE Jason Cong, Zhenman Fang, Muhuan Huang, Peng Wei, Di Wu, Cody Hao Yu
2019	A	`conf`	HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Reconfigurable Computing. FPGA Yi-Hsiang Lai, Yuze Chi, Yuwei Hu, Jie Wang, Cody Hao Yu, Yuan Zhou, Jason Cong, Zhiru Zhang
2019	A	`conf`	Overcoming Data Transfer Bottlenecks in DNN Accelerators via Layer-Conscious Memory Managment. FPGA Xuechao Wei, Yun Liang, Peng Zhang, Cody Hao Yu, Jason Cong
2018	J	`jnl`	AutoAccel: Automated Accelerator Generation and Optimization with Composable, Parallel and Pipeline Architecture. CoRR Jason Cong, Peng Wei, Cody Hao Yu, Peng Zhang
2018	A*	`conf`	Automated accelerator generation and optimization with composable, parallel and pipeline architecture. DAC Jason Cong, Peng Wei, Cody Hao Yu, Peng Zhang
2018	J	`jnl`	Best-Effort FPGA Programming: A Few Steps Can Go a Long Way. CoRR Jason Cong, Zhenman Fang, Yuchen Hao, Peng Wei, Cody Hao Yu, Chen Zhang, Peipei Zhou
2018	—	`conf`	From JVM to FPGA: Bridging Abstraction Hierarchy via Optimized Deep Pipelining. HotCloud Jason Cong, Peng Wei, Cody Hao Yu
2018	Misc	`conf`	Latte: Locality Aware Transformation for High-Level Synthesis. FCCM Jason Cong, Peng Wei, Cody Hao Yu, Peipei Zhou
2018	A*	`conf`	S2FA: an accelerator automation framework for heterogeneous computing in datacenters. DAC Cody Hao Yu, Peng Wei, Max Grossman, Peng Zhang, Vivek Sarkar, Jason Cong
2018	A	`conf`	TGPA: tile-grained pipeline architecture for low latency CNN inference. ICCAD Xuechao Wei, Yun Liang, Xiuhong Li, Cody Hao Yu, Peng Zhang, Jason Cong
2017	A*	`conf`	Automated Systolic Array Architecture Synthesis for High Throughput CNN Inference on FPGAs. DAC Xuechao Wei, Cody Hao Yu, Peng Zhang, Youxiang Chen, Yuxin Wang, Han Hu, Yun Liang, Jason Cong
2017	A*	`conf`	Bandwidth Optimization Through On-Chip Memory Restructuring for HLS. DAC Jason Cong, Peng Wei, Cody Hao Yu, Peipei Zhou
2016	A*	`conf`	Invited - Heterogeneous datacenters: options and opportunities. DAC Jason Cong, Muhuan Huang, Di Wu, Cody Hao Yu
2016	—	`conf`	Programming and Runtime Support to Blaze FPGA Accelerator Deployment at Datacenter Scale. SoCC Muhuan Huang, Di Wu, Cody Hao Yu, Zhenman Fang, Matteo Interlandi, Tyson Condie, Jason Cong
2016	Misc	`conf`	The SMEM Seeding Acceleration for DNA Sequence Alignment. FCCM Mau-Chung Frank Chang, Yu-Ting Chen, Jason Cong, Po-Tsang Huang, Chun-Liang Kuo, Cody Hao Yu
2015	A	`conf`	Impact of Loop Transformations on Software Reliability. ICCAD Jason Cong, Cody Hao Yu
2014	J	`jnl`	Thermal-Aware On-Line Scheduler for 3-D Many-Core Processor Throughput Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Cody Hao Yu, Chiao-Ling Lung, Yi-Lun Ho, Ruei-Siang Hsu, Ding-Ming Kwai, Shih-Chieh Chang