Ching-Hsiang Chu

44 papers A* 2A 4B 5C 5Misc 4Journal 15Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Collective Communication for 100k+ GPUs. CoRR Min Si, Pavan Balaji, Yongzhou Chen, Ching-Hsiang Chu, Adi Gangidi, Saif Hasan, Subodh Iyengar, Dan Johnson, Bingzhe Liu, Regina Ren, Ashmitha Jeevaraj Shetty, Greg Steinbrecher, Yulun Wang, Bruce Wu, Xinfeng Xie, Jingyi Yang, Mingran Yang, Kenny Yu, Minlan Yu, Cen Zhao, Wesley Bland, Denis Boyda, Suman Gumudavelli, Prashanth Kannan, Cristian Lumezanu, Rui Miao, Zhe Qu, Venkat Ramesh, Maxim Samoylov, Jan Seidel, Srikanth Sundaresan, Feng Tian, Qiye Tan, Shuqiang Zhang, Yimeng Zhao, Shengbao Zheng, Art Zhu, Hongyi Zeng
2025	A*	`conf`	Scaling Llama 3 Training with Efficient Parallelism Strategies. ISCA Weiwei Chu, Xinfeng Xie, Jiecao Yu, Jie Wang, Amar Phanishayee, Chunqiang Tang, Yuchen Hao, Jianyu Huang, Mustafa Ozdal, Jun Wang, Vedanuj Goswami, Naman Goyal, Abhishek Kadian, Andrew Gu, Chris Cai, Feng Tian, Xiaodong Wang, Min Si, Pavan Balaji, Ching-Hsiang Chu, Jongsoo Park
2024	A	`conf`	Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression. SC Hao Feng, Boyuan Zhang, Fanjiang Ye, Min Si, Ching-Hsiang Chu, Jiannan Tian, Chunxing Yin, Summer Deng, Yuchen Hao, Pavan Balaji, Tong Geng, Dingwen Tao
2024	J	`jnl`	Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression. CoRR Hao Feng, Boyuan Zhang, Fanjiang Ye, Min Si, Ching-Hsiang Chu, Jiannan Tian, Chunxing Yin, Summer Deng, Yuchen Hao, Pavan Balaji, Tong Geng, Dingwen Tao
2024	—	`conf`	Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large Scale Recommendation. MLSys Liang Luo, Buyun Zhang, Michael Tsang, Yinbin Ma, Ching-Hsiang Chu, Yuxin Chen, Shen Li, Yuchen Hao, Yanli Zhao, Guna Lakshminarayanan, Ellie Wen, Jongsoo Park, Dheevatsa Mudigere, Maxim Naumov
2024	J	`jnl`	Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation. CoRR Liang Luo, Buyun Zhang, Michael Tsang, Yinbin Ma, Ching-Hsiang Chu, Yuxin Chen, Shen Li, Yuchen Hao, Yanli Zhao, Guna Lakshminarayanan, Ellie Dingqiao Wen, Jongsoo Park, Dheevatsa Mudigere, Maxim Naumov
2023	Misc	`conf`	Better Together: Jointly Optimizing ML Collective Scheduling and Execution Planning using SYNDICATE. NSDI Kshiteej Mahajan, Ching-Hsiang Chu, Srinivas Sridharan, Aditya Akella
2022	A*	`conf`	Software-hardware co-design for fast and scalable training of deep learning recommendation models. ISCA Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Zhihao Jia, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Ajit Mathews, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao
2021	B	`conf`	Adaptive and Hierarchical Large Message All-to-all Communication Algorithms for Large-scale Dense GPU Systems. CCGRID Kawthar Shafie Khorassani, Ching-Hsiang Chu, Quentin G. Anthony, Hari Subramoni, Dhabaleswar K. Panda
2021	C	`conf`	Designing a ROCm-Aware MPI Library for AMD GPUs: Early Experiences. ISC Kawthar Shafie Khorassani, Jahanzeb Maqbool Hashmi, Ching-Hsiang Chu, Chen-Chun Chen, Hari Subramoni, Dhabaleswar K. Panda
2021	J	`jnl`	High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models. CoRR Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao
2021	J	`jnl`	The MVAPICH project: Transforming research into high-performance MPI library for HPC community. J. Comput. Sci. Dhabaleswar Kumar Panda, Hari Subramoni, Ching-Hsiang Chu, Mohammadreza Bayatpour
2020	J	`jnl`	Communication Profiling and Characterization of Deep-Learning Workloads on Clusters With High-Performance Interconnects. IEEE Micro Ammar Ahmad Awan, Arpan Jain, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda
2020	C	`conf`	Dynamic Kernel Fusion for Bulk Non-contiguous Data Transfer on GPU Clusters. CLUSTER Ching-Hsiang Chu, Kawthar Shafie Khorassani, Qinghua Zhou, Hari Subramoni, Dhabaleswar K. Panda
2020	J	`jnl`	FALCON-X: Zero-copy MPI derived datatype processing on modern CPU and GPU architectures. J. Parallel Distributed Comput. Jahanzeb Maqbool Hashmi, Ching-Hsiang Chu, Sourav Chakraborty, Mohammadreza Bayatpour, Hari Subramoni, Dhabaleswar K. Panda
2020	A	`conf`	NV-group: link-efficient reduction for distributed deep learning on modern dense GPU systems. ICS Ching-Hsiang Chu, Pouya Kousha, Ammar Ahmad Awan, Kawthar Shafie Khorassani, Hari Subramoni, Dhabaleswar K. D. K. Panda
2019	A	`conf`	C-GDR: High-Performance Container-Aware GPUDirect MPI Communication Schemes on RDMA Networks. IPDPS Jie Zhang, Xiaoyi Lu, Ching-Hsiang Chu, Dhabaleswar K. Panda
2019	—	`conf`	Characterizing CUDA Unified Memory (UM)-Aware MPI Designs on Modern GPU Architectures. GPGPU@ASPLOS Karthik Vadambacheri Manian, A. A. Ammar, Amit Ruhela, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda
2019	—	`conf`	Communication Profiling and Characterization of Deep Learning Workloads on Clusters with High-Performance Interconnects. Hot Interconnects Ammar Ahmad Awan, Arpan Jain, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda
2019	Misc	`conf`	Designing a Profiling and Visualization Tool for Scalable and In-depth Analysis of High-Performance GPU Clusters. HiPC Pouya Kousha, Bharath Ramesh, Kaushik Kandadi Suresh, Ching-Hsiang Chu, Arpan Jain, Nick Sarkauskas, Hari Subramoni, Dhabaleswar K. Panda
2019	J	`jnl`	Exploiting Hardware Multicast and GPUDirect RDMA for Efficient Broadcast. IEEE Trans. Parallel Distributed Syst. Ching-Hsiang Chu, Xiaoyi Lu, Ammar Ahmad Awan, Hari Subramoni, Bracy Elton, Dhabaleswar K. Panda
2019	Misc	`conf`	High-Performance Adaptive MPI Derived Datatype Communication for Modern Multi-GPU Systems. HiPC Ching-Hsiang Chu, Jahanzeb Maqbool Hashmi, Kawthar Shafie Khorassani, Hari Subramoni, Dhabaleswar K. Panda
2019	—	`conf`	OMB-UM: Design, Implementation, and Evaluation of CUDA Unified Memory Aware MPI Benchmarks. PMBS@SC Karthik Vadambacheri Manian, Ching-Hsiang Chu, Ammar Ahmad Awan, Kawthar Shafie Khorassani, Hari Subramoni
2019	J	`jnl`	Optimized large-message broadcast for deep learning workloads: MPI, MPI+NCCL, or NCCL2? Parallel Comput. Ammar Ahmad Awan, Karthik Vadambacheri Manian, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda
2019	—	`conf`	Performance Evaluation of MPI Libraries on GPU-Enabled OpenPOWER Architectures: Early Experiences. ISC Workshops Kawthar Shafie Khorassani, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda
2019	B	`conf`	Scalable Distributed DNN Training using TensorFlow and CUDA-Aware MPI: Characterization, Designs, and Performance Evaluation. CCGRID Ammar Ahmad Awan, Jeroen Bédorf, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda
2018	—	`conf`	Designing High-Performance In-Memory Key-Value Operations with Persistent GPU Kernels and OpenSHMEM. OpenSHMEM Ching-Hsiang Chu, Sreeram Potluri, Anshuman Goswami, Manjunath Gorentla Venkata, Neena Imam, Chris J. Newburn
2018	J	`jnl`	Distributed Topology Control for Energy-Efficient and Reliable Wireless Communications. IEEE Syst. J. Min-Te Sun, Ching-Hsiang Chu, Eric Hsiao-Kuang Wu, Chi-Sen Hsiao, Andy An-Kai Jeng
2018	Misc	`conf`	OC-DNN: Exploiting Advanced Unified Memory Capabilities in CUDA 9 and Volta GPUs for Out-of-Core DNN Training. HiPC Ammar Ahmad Awan, Ching-Hsiang Chu, Hari Subramoni, Xiaoyi Lu, Dhabaleswar K. Panda
2018	C	`conf`	Optimized Broadcast for Deep Learning Workloads on Dense-GPU InfiniBand Clusters: MPI or NCCL? EuroMPI Ammar Ahmad Awan, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda
2018	J	`jnl`	Scalable Distributed DNN Training using TensorFlow and CUDA-Aware MPI: Characterization, Designs, and Performance Evaluation. CoRR Ammar Ahmad Awan, Jeroen Bédorf, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda
2017	B	`conf`	Efficient and Scalable Multi-Source Streaming Broadcast on GPU Clusters for Deep Learning. ICPP Ching-Hsiang Chu, Xiaoyi Lu, Ammar Ahmad Awan, Hari Subramoni, Jahanzeb Maqbool Hashmi, Bracy Elton, Dhabaleswar K. Panda
2017	B	`conf`	MPI-GDS: High Performance MPI Designs with GPUDirect-aSync for CPU-GPU Control Flow Decoupling. ICPP Akshay Venkatesh, Khaled Hamidouche, Sreeram Potluri, Davide Rossetti, Ching-Hsiang Chu, Dhabaleswar K. Panda
2017	J	`jnl`	Optimized Broadcast for Deep Learning Workloads on Dense-GPU InfiniBand Clusters: MPI or NCCL? CoRR Ammar Ahmad Awan, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda
2016	B	`conf`	CUDA Kernel Based Collective Reduction Operations on Large-scale GPU Clusters. CCGrid Ching-Hsiang Chu, Khaled Hamidouche, Akshay Venkatesh, Ammar Ahmad Awan, Dhabaleswar K. Panda
2016	J	`jnl`	CUDA-Aware OpenSHMEM: Extensions and Designs for High Performance OpenSHMEM on GPU Clusters. Parallel Comput. Khaled Hamidouche, Akshay Venkatesh, Ammar Ahmad Awan, Hari Subramoni, Ching-Hsiang Chu, Dhabaleswar K. Panda
2016	C	`conf`	Designing High Performance Heterogeneous Broadcast for Streaming Applications on GPU Clusters. SBAC-PAD Ching-Hsiang Chu, Khaled Hamidouche, Hari Subramoni, Akshay Venkatesh, Bracy Elton, Dhabaleswar K. Panda
2016	—	`conf`	Efficient Reliability Support for Hardware Multicast-Based Broadcast in GPU-enabled Streaming Applications. COMHPC@SC Ching-Hsiang Chu, Khaled Hamidouche, Hari Subramoni, Akshay Venkatesh, Bracy Elton, Dhabaleswar K. Panda
2016	A	`conf`	Exploiting Maximal Overlap for Non-Contiguous Data Movement Processing on Modern GPU-Enabled Systems. IPDPS Ching-Hsiang Chu, Khaled Hamidouche, Akshay Venkatesh, Dip Sankar Banerjee, Hari Subramoni, Dhabaleswar K. Panda
2015	—	`conf`	A Case for Non-blocking Collectives in OpenSHMEM: Design, Implementation, and Performance Evaluation using MVAPICH2-X. OpenSHMEM A. A. Awan, Khaled Hamidouche, Ching-Hsiang Chu, Dhabaleswar K. Panda
2015	C	`conf`	Exploiting GPUDirect RDMA in Designing High Performance OpenSHMEM for NVIDIA GPU Clusters. CLUSTER Khaled Hamidouche, Akshay Venkatesh, Ammar Ahmad Awan, Hari Subramoni, Ching-Hsiang Chu, Dhabaleswar K. Panda
2014	—	`conf`	Measurement of long-distance Wi-Fi connections: An empirical study. ICC Ching-Hsiang Chu, You-Ming Chen, Yu-Te Huang, Roberto Carvalho, Chiun-Chieh Hsu, Ling-Jyh Chen
2013	J	`jnl`	Channel condition self-clocked packet scheduling scheme for wireless networks. EURASIP J. Wirel. Commun. Netw. Jyh-Ming Chen, Eric Hsiao-Kuang Wu, Hsiang-Wei Lu, Ching-Hsiang Chu, Meng-Feng Tsai
2011	J	`jnl`	Improving SCTP Performance by Jitter-Based Congestion Control over Wired-Wireless Networks. EURASIP J. Wirel. Commun. Netw. Jyh-Ming Chen, Ching-Hsiang Chu, Eric Hsiao-Kuang Wu, Meng-Feng Tsai, Jian-Ren Wang