Design of Direct Communication Facility for Many-Core Based Accelerators. - Min Si; Yutaka Ishikawa (IPDPS Workshops, 2012)

Abstract: An MPI Library implementing Direct Communication for Many-Core Based Accelerators. - Min Si; Yutaka Ishikawa (SC Companion, 2012)

Poster: An MPI Library implementing Direct Communication for Many-Core Based Accelerators. - Min Si; Yutaka Ishikawa (SC Companion, 2012)

Direct MPI Library for Intel Xeon Phi Co-Processors. - Min Si; Yutaka Ishikawa; Masamichi Takagi (IPDPS Workshops, 2013)

MT-MPI: multithreaded MPI for many-core environments. - Min Si; Antonio J. Peña; Pavan Balaji; Masamichi Takagi; Yutaka Ishikawa (ICS, 2014)

Techniques for Enabling Highly Efficient Message Passing on Many-Core Architectures. - Min Si; Pavan Balaji; Yutaka Ishikawa (CCGRID, 2015)

Scaling NWChem with Efficient and Portable Asynchronous Communication in MPI RMA. - Min Si; Antonio J. Peña; Jeff R. Hammond; Pavan Balaji; Yutaka Ishikawa (CCGRID, 2015)

Casper: An Asynchronous Progress Model for MPI RMA on Many-Core Architectures. - Min Si; Antonio J. Peña; Jeff R. Hammond; Pavan Balaji; Masamichi Takagi; Yutaka Ishikawa (IPDPS, 2015)

Towards Scalable Deep Learning via I/O Analysis and Optimization. - Sarunya Pumma; Min Si; Wu-chun Feng; Pavan Balaji (HPCC/SmartCity/DSS, 2017)

Process-Based Asynchronous Progress Model for MPI Point-to-Point Communication. - Min Si; Pavan Balaji (HPCC/SmartCity/DSS, 2017)

Parallel I/O Optimizations for Scalable Deep Learning. - Sarunya Pumma; Min Si; Wu-chun Feng; Pavan Balaji (ICPADS, 2017)

Why is MPI so slow?: analyzing the fundamental limits in implementing MPI-3.1. - Ken Raffenetti; Abdelhalim Amer; Lena Oden; Charles Archer; Wesley Bland; Hajime Fujita 002; Yanfei Guo; Tomislav Janjusic; Dmitry Durnov; Michael Blocksome; Min Si; Sangmin Seo; et al. (SC, 2017)

Process-in-process: techniques for practical address-space sharing. - Atsushi Hori; Min Si; Balazs Gerofi; Masamichi Takagi; Jai Dayal; Pavan Balaji; Yutaka Ishikawa (HPDC, 2018)

Introduction to AsHES 2018. - Sunita Chandrasekaran; Antonio J. Peña; Min Si (IPDPS Workshops, 2018)

Dynamic Adaptable Asynchronous Progress Model for MPI RMA Multiphase Applications. - Min Si; Antonio J. Peña; Jeff R. Hammond; Pavan Balaji; Masamichi Takagi; Yutaka Ishikawa (IEEE Trans. Parallel Distributed Syst., 2018)

Software combining to mitigate multithreaded MPI contention. - Abdelhalim Amer; Charles Archer; Michael Blocksome; Chongxiao Cao; Michael Chuvelev; Hajime Fujita 002; Maria Garzaran 001; Yanfei Guo; Jeff R. Hammond; Shintaro Iwasaki; Kenneth J. Raffenetti; Mikhail Shiryaev; et al. (ICS, 2019)

International workshop on programming models and applications for multicores and manycores (PMAM 2018). - Min Si; Zhiyi Huang 001; Pavan Balaji (Parallel Comput., 2019)

Parallel programming models and systems software for high-end computing (P2S2 2018). - Min Si; Abhinav Vishnu; Yong Chen 001 (Parallel Comput., 2019)

Scalable Deep Learning via I/O Analysis and Optimization. - Sarunya Pumma; Min Si; Wu-Chun Feng; Pavan Balaji (ACM Trans. Parallel Comput., 2019)

Workshop 8: AsHES Accelerators and Hybrid Exascale Systems. - Min Si; Lena Oden; Simon Garcia De Gonzalo (IPDPS Workshops, 2020)

CAB-MPI: exploring interprocess work-stealing towards balanced MPI communication. - Kaiming Ouyang; Min Si; Atsushi Hori; Zizhong Chen; Pavan Balaji (SC, 2020)

Guest editorial: Special Issue on Applications and System Software for Hybrid Exascale Systems. - Antonio J. Peña; Min Si (Parallel Comput., 2020)

Daps: A Dynamic Asynchronous Progress Stealing Model for MPI Communication. - Kaiming Ouyang; Min Si; Atsushi Hori; Zizhong Chen; Pavan Balaji (CLUSTER, 2021)

A FACT-based Approach: Making Machine Learning Collective Autotuning Feasible on Exascale Systems. - Michael Wilkins; Yanfei Guo; Rajeev Thakur; Nikos Hardavellas; Peter A. Dinda; Min Si (ExaMPI@SC, 2021)

OpenSHMEM over MPI as a Performance Contender: Thorough Analysis and Optimizations. - Min Si; Huansong Fu; Jeff R. Hammond; Pavan Balaji (OpenSHMEM, 2021)

Dynamic scaling for low-precision learning. - Ruobing Han; Min Si; James Demmel; Yang You 001 (PPoPP, 2021)

Guest Editorial. - Pavan Balaji; Jidong Zhai; Min Si (IEEE Trans. Parallel Distributed Syst., 2021)

Special issue on programming models and applications for multicores and manycores 2019-2020. - Min Si; Quan Chen 002; Zhiyi Huang 001 (Concurr. Comput. Pract. Exp., 2022)

Special Issue on Programming Models and Applications for Multicores and Manycores 2020. - Min Si; Quan Chen 002; Zhiyi Huang 001 (Concurr. Comput. Pract. Exp., 2022)

Special Issue on Hot Interconnects. - Sayan Ghosh; Ryan E. Grant; Min Si (IEEE Micro, 2022)

Guest Editorial. - Jidong Zhai; Min Si; Antonio J. Peña (IEEE Trans. Parallel Distributed Syst., 2022)

PiP-MColl: Process-in-Process-based Multi-object MPI Collectives. - Jiajun Huang 001; Kaiming Ouyang; Yujia Zhai; Jinyang Liu 003; Min Si; Ken Raffenetti; Hui Zhou 012; Atsushi Hori; Zizhong Chen; Yanfei Guo; Rajeev Thakur (CLUSTER, 2023)

Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques. - Jiajun Huang 001; Kaiming Ouyang; Yujia Zhai; Jinyang Liu 003; Min Si; Ken Raffenetti; Hui Zhou 012; Atsushi Hori; Zizhong Chen; Yanfei Guo; Rajeev Thakur (HPDC, 2023)

Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training. - Anqi Guo; Yuchen Hao; Chunshu Wu; Pouya Haghi; Zhenyu Pan; Min Si; Dingwen Tao; Ang Li 006; Martin C. Herbordt; Tong Geng (ICS, 2023)

Special issue on new trends in high-performance computing: Software systems and applications. - Sunita Chandrasekaran; Min Si; Jidong Zhai; Lena Oden (Softw. Pract. Exp., 2023)

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)

Machine Learning-Guided Memory Optimization for DLRM Inference on Tiered Memory. - Jie Ren; Bin Ma; Shuangyan Yang; Benjamin Francis; Ehsan K. Ardestani; Min Si; Dong Li (HPCA, 2025)

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)

Preparing MPICH for exascale. - Yanfei Guo; Ken Raffenetti; Hui Zhou 012; Pavan Balaji; Min Si; Abdelhalim Amer; Shintaro Iwasaki; Sangmin Seo; Giuseppe Congiu; Robert Latham; Lena Oden; Thomas Gillis; et al. (Int. J. High Perform. Comput. Appl., 2025)