Improving SCTP Performance by Jitter-Based Congestion Control over Wired-Wireless Networks. - Jyh-Ming Chen; Ching-Hsiang Chu; Eric Hsiao-Kuang Wu; Meng-Feng Tsai; Jian-Ren Wang (EURASIP J. Wirel. Commun. Netw., 2011)

Channel condition self-clocked packet scheduling scheme for wireless networks. - Jyh-Ming Chen; Eric Hsiao-Kuang Wu; Hsiang-Wei Lu; Ching-Hsiang Chu; Meng-Feng Tsai (EURASIP J. Wirel. Commun. Netw., 2013)

Measurement of long-distance Wi-Fi connections: An empirical study. - Ching-Hsiang Chu; You-Ming Chen; Yu-Te Huang; Roberto Carvalho; Chiun-Chieh Hsu; Ling-Jyh Chen (ICC, 2014)

Exploiting GPUDirect RDMA in Designing High Performance OpenSHMEM for NVIDIA GPU Clusters. - Khaled Hamidouche; Akshay Venkatesh; Ammar Ahmad Awan; Hari Subramoni; Ching-Hsiang Chu; Dhabaleswar K. Panda 001 (CLUSTER, 2015)

A Case for Non-blocking Collectives in OpenSHMEM: Design, Implementation, and Performance Evaluation using MVAPICH2-X. - A. A. Awan; Khaled Hamidouche; Ching-Hsiang Chu; Dhabaleswar K. Panda 001 (OpenSHMEM, 2015)

CUDA Kernel Based Collective Reduction Operations on Large-scale GPU Clusters. - Ching-Hsiang Chu; Khaled Hamidouche; Akshay Venkatesh; Ammar Ahmad Awan; Dhabaleswar K. Panda 001 (CCGrid, 2016)

Exploiting Maximal Overlap for Non-Contiguous Data Movement Processing on Modern GPU-Enabled Systems. - Ching-Hsiang Chu; Khaled Hamidouche; Akshay Venkatesh; Dip Sankar Banerjee; Hari Subramoni; Dhabaleswar K. Panda 001 (IPDPS, 2016)

Designing High Performance Heterogeneous Broadcast for Streaming Applications on GPU Clusters. - Ching-Hsiang Chu; Khaled Hamidouche; Hari Subramoni; Akshay Venkatesh; Bracy Elton; Dhabaleswar K. Panda 001 (SBAC-PAD, 2016)

Efficient Reliability Support for Hardware Multicast-Based Broadcast in GPU-enabled Streaming Applications. - Ching-Hsiang Chu; Khaled Hamidouche; Hari Subramoni; Akshay Venkatesh; Bracy Elton; Dhabaleswar K. Panda 001 (COMHPC@SC, 2016)

CUDA-Aware OpenSHMEM: Extensions and Designs for High Performance OpenSHMEM on GPU Clusters. - Khaled Hamidouche; Akshay Venkatesh; Ammar Ahmad Awan; Hari Subramoni; Ching-Hsiang Chu; Dhabaleswar K. Panda 001 (Parallel Comput., 2016)

Efficient and Scalable Multi-Source Streaming Broadcast on GPU Clusters for Deep Learning. - Ching-Hsiang Chu; Xiaoyi Lu; Ammar Ahmad Awan; Hari Subramoni; Jahanzeb Maqbool Hashmi; Bracy Elton; Dhabaleswar K. Panda 001 (ICPP, 2017)

MPI-GDS: High Performance MPI Designs with GPUDirect-aSync for CPU-GPU Control Flow Decoupling. - Akshay Venkatesh; Khaled Hamidouche; Sreeram Potluri; Davide Rossetti; Ching-Hsiang Chu; Dhabaleswar K. Panda 001 (ICPP, 2017)

OC-DNN: Exploiting Advanced Unified Memory Capabilities in CUDA 9 and Volta GPUs for Out-of-Core DNN Training. - Ammar Ahmad Awan; Ching-Hsiang Chu; Hari Subramoni; Xiaoyi Lu; Dhabaleswar K. Panda 001 (HiPC, 2018)

Designing High-Performance In-Memory Key-Value Operations with Persistent GPU Kernels and OpenSHMEM. - Ching-Hsiang Chu; Sreeram Potluri; Anshuman Goswami; Manjunath Gorentla Venkata; Neena Imam; Chris J. Newburn (OpenSHMEM, 2018)

Optimized Broadcast for Deep Learning Workloads on Dense-GPU InfiniBand Clusters: MPI or NCCL? - Ammar Ahmad Awan; Ching-Hsiang Chu; Hari Subramoni; Dhabaleswar K. Panda 001 (EuroMPI, 2018)

Distributed Topology Control for Energy-Efficient and Reliable Wireless Communications. - Min-Te Sun; Ching-Hsiang Chu; Eric Hsiao-Kuang Wu; Chi-Sen Hsiao; Andy An-Kai Jeng (IEEE Syst. J., 2018)

Characterizing CUDA Unified Memory (UM)-Aware MPI Designs on Modern GPU Architectures. - Karthik Vadambacheri Manian; A. A. Ammar; Amit Ruhela; Ching-Hsiang Chu; Hari Subramoni; Dhabaleswar K. Panda 001 (GPGPU@ASPLOS, 2019)

Scalable Distributed DNN Training using TensorFlow and CUDA-Aware MPI: Characterization, Designs, and Performance Evaluation. - Ammar Ahmad Awan; Jeroen Bédorf; Ching-Hsiang Chu; Hari Subramoni; Dhabaleswar K. Panda 001 (CCGRID, 2019)

High-Performance Adaptive MPI Derived Datatype Communication for Modern Multi-GPU Systems. - Ching-Hsiang Chu; Jahanzeb Maqbool Hashmi; Kawthar Shafie Khorassani; Hari Subramoni; Dhabaleswar K. Panda 001 (HiPC, 2019)

Designing a Profiling and Visualization Tool for Scalable and In-depth Analysis of High-Performance GPU Clusters. - Pouya Kousha; Bharath Ramesh 005; Kaushik Kandadi Suresh; Ching-Hsiang Chu; Arpan Jain; Nick Sarkauskas; Hari Subramoni; Dhabaleswar K. Panda 001 (HiPC, 2019)

C-GDR: High-Performance Container-Aware GPUDirect MPI Communication Schemes on RDMA Networks. - Jie Zhang 045; Xiaoyi Lu; Ching-Hsiang Chu; Dhabaleswar K. Panda 001 (IPDPS, 2019)

OMB-UM: Design, Implementation, and Evaluation of CUDA Unified Memory Aware MPI Benchmarks. - Karthik Vadambacheri Manian; Ching-Hsiang Chu; Ammar Ahmad Awan; Kawthar Shafie Khorassani; Hari Subramoni (PMBS@SC, 2019)

Performance Evaluation of MPI Libraries on GPU-Enabled OpenPOWER Architectures: Early Experiences. - Kawthar Shafie Khorassani; Ching-Hsiang Chu; Hari Subramoni; Dhabaleswar K. Panda 001 (ISC Workshops, 2019)

Optimized large-message broadcast for deep learning workloads: MPI, MPI+NCCL, or NCCL2? - Ammar Ahmad Awan; Karthik Vadambacheri Manian; Ching-Hsiang Chu; Hari Subramoni; Dhabaleswar K. Panda 001 (Parallel Comput., 2019)

Exploiting Hardware Multicast and GPUDirect RDMA for Efficient Broadcast. - Ching-Hsiang Chu; Xiaoyi Lu; Ammar Ahmad Awan; Hari Subramoni; Bracy Elton; Dhabaleswar K. Panda 001 (IEEE Trans. Parallel Distributed Syst., 2019)

Dynamic Kernel Fusion for Bulk Non-contiguous Data Transfer on GPU Clusters. - Ching-Hsiang Chu; Kawthar Shafie Khorassani; Qinghua Zhou; Hari Subramoni; Dhabaleswar K. Panda 001 (CLUSTER, 2020)

NV-group: link-efficient reduction for distributed deep learning on modern dense GPU systems. - Ching-Hsiang Chu; Pouya Kousha; Ammar Ahmad Awan; Kawthar Shafie Khorassani; Hari Subramoni; Dhabaleswar K. D. K. Panda (ICS, 2020)

FALCON-X: Zero-copy MPI derived datatype processing on modern CPU and GPU architectures. - Jahanzeb Maqbool Hashmi; Ching-Hsiang Chu; Sourav Chakraborty 003; Mohammadreza Bayatpour; Hari Subramoni; Dhabaleswar K. Panda 001 (J. Parallel Distributed Comput., 2020)

Communication Profiling and Characterization of Deep-Learning Workloads on Clusters With High-Performance Interconnects. - Ammar Ahmad Awan; Arpan Jain; Ching-Hsiang Chu; Hari Subramoni; Dhabaleswar K. Panda 001 (IEEE Micro, 2020)

Adaptive and Hierarchical Large Message All-to-all Communication Algorithms for Large-scale Dense GPU Systems. - Kawthar Shafie Khorassani; Ching-Hsiang Chu; Quentin G. Anthony; Hari Subramoni; Dhabaleswar K. Panda 001 (CCGRID, 2021)

Designing a ROCm-Aware MPI Library for AMD GPUs: Early Experiences. - Kawthar Shafie Khorassani; Jahanzeb Maqbool Hashmi; Ching-Hsiang Chu; Chen-Chun Chen; Hari Subramoni; Dhabaleswar K. Panda 001 (ISC, 2021)

High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models. - Dheevatsa Mudigere; Yuchen Hao; Jianyu Huang; Andrew Tulloch; Srinivas Sridharan 002; Xing Liu; Mustafa Ozdal; Jade Nie; Jongsoo Park; Liang Luo; Jie Amy Yang; Leon Gao; et al. (CoRR, 2021)

The MVAPICH project: Transforming research into high-performance MPI library for HPC community. - Dhabaleswar Kumar Panda 001; Hari Subramoni; Ching-Hsiang Chu; Mohammadreza Bayatpour (J. Comput. Sci., 2021)

Software-hardware co-design for fast and scalable training of deep learning recommendation models. - Dheevatsa Mudigere; Yuchen Hao; Jianyu Huang; Zhihao Jia; Andrew Tulloch; Srinivas Sridharan 002; Xing Liu; Mustafa Ozdal; Jade Nie; Jongsoo Park; Liang Luo; Jie Amy Yang; et al. (ISCA, 2022)

Better Together: Jointly Optimizing ML Collective Scheduling and Execution Planning using SYNDICATE. - Kshiteej Mahajan; Ching-Hsiang Chu; Srinivas Sridharan 002; Aditya Akella (NSDI, 2023)

Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large Scale Recommendation. - Liang Luo; Buyun Zhang; Michael Tsang; Yinbin Ma; Ching-Hsiang Chu; Yuxin Chen 001; Shen Li; Yuchen Hao; Yanli Zhao; Guna Lakshminarayanan; Ellie Wen; Jongsoo Park; et al. (MLSys, 2024)

Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression. - Hao Feng; Boyuan Zhang 002; Fanjiang Ye; Min Si; Ching-Hsiang Chu; Jiannan Tian; Chunxing Yin; Summer Deng; Yuchen Hao; Pavan Balaji; Tong Geng; Dingwen Tao (SC, 2024)

Scaling Llama 3 Training with Efficient Parallelism Strategies. - Weiwei Chu; Xinfeng Xie; Jiecao Yu; Jie Wang 022; Amar Phanishayee; Chunqiang Tang; Yuchen Hao; Jianyu Huang; Mustafa Ozdal; Jun Wang; Vedanuj Goswami; Naman Goyal 001; et al. (ISCA, 2025)