Min Si - RankMe

49 papers A* 2A 9B 4C 2Journal 18Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on the Shared Address Space with Privatized Static Variables (SAS-PSV) Execution Model for the Many-Core Era. ACM Comput. Surv. Atsushi Hori, Kaiming Ouyang, Min Si, Pavan Balaji, Julien Jaeger, Marc Pérache, Sam White, Evan Ramos, Laxmikant V. Kalé, Kevin T. Pedretti, Ron Brightwell, Balazs Gerofi, Yutaka Ishikawa
2026	J	`jnl`	Training LLMs with Fault Tolerant HSDP on 100,000 GPUs. CoRR Omkar Salpekar, Rohan Varma, Kenny Yu, Vladimir Ivanov, Yang Wang, Ahmed Sharif, Min Si, Shawn Xu, Feng Tian, Shengbao Zheng, Tristan Rice, Ankush Garg, Shangfu Peng, Shreyas Siravara, Wenyin Fu, Rodrigo de Castro, Adithya Gangidi, Andrey Obraztsov, Sharan Narang, Sergey Edunov, Maxim Naumov, Chunqiang Tang, Mathew Oldham
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`	Machine Learning-Guided Memory Optimization for DLRM Inference on Tiered Memory. HPCA Jie Ren, Bin Ma, Shuangyan Yang, Benjamin Francis, Ehsan K. Ardestani, Min Si, Dong Li
2025	J	`jnl`	Machine Learning-Guided Memory Optimization for DLRM Inference on Tiered Memory. CoRR Jie Ren, Bin Ma, Shuangyan Yang, Benjamin Francis, Ehsan K. Ardestani, Min Si, Dong Li
2025	J	`jnl`	Preparing MPICH for exascale. Int. J. High Perform. Comput. Appl. Yanfei Guo, Ken Raffenetti, Hui Zhou, Pavan Balaji, Min Si, Abdelhalim Amer, Shintaro Iwasaki, Sangmin Seo, Giuseppe Congiu, Robert Latham, Lena Oden, Thomas Gillis, Rohit Zambre, Kaiming Ouyang, Charles Archer, Wesley Bland, Jithin Jose, Sayantan Sur, Hajime Fujita, Dmitry Durnov, Michael Chuvelev, Gengbin Zheng, Alex Brooks, Sagar Thapaliya, Taru Doodi, Maria Garazan, Steve Oyanagi, Marc Snir, Rajeev Thakur
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
2023	A	`conf`	Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques. HPDC Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur
2023	J	`jnl`	Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques. CoRR Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur
2023	C	`conf`	PiP-MColl: Process-in-Process-based Multi-object MPI Collectives. CLUSTER Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur
2023	—	`ed.`	Proceedings of the 14th International Workshop on Programming Models and Applications for Multicores and Manycores, PMAM@PPoPP 2023, Montreal, QC, Canada, 25 February 2023 - 1 March 2023 PMAM@PPoPP Quan Chen, Zhiyi Huang, Min Si
2023	A	`conf`	Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training. ICS Anqi Guo, Yuchen Hao, Chunshu Wu, Pouya Haghi, Zhenyu Pan, Min Si, Dingwen Tao, Ang Li, Martin C. Herbordt, Tong Geng
2023	J	`jnl`	Special issue on new trends in high-performance computing: Software systems and applications. Softw. Pract. Exp. Sunita Chandrasekaran, Min Si, Jidong Zhai, Lena Oden
2022	J	`jnl`	Guest Editorial. IEEE Trans. Parallel Distributed Syst. Jidong Zhai, Min Si, Antonio J. Peña
2022	J	`jnl`	Special Issue on Hot Interconnects. IEEE Micro Sayan Ghosh, Ryan E. Grant, Min Si
2022	J	`jnl`	Special Issue on Programming Models and Applications for Multicores and Manycores 2020. Concurr. Comput. Pract. Exp. Min Si, Quan Chen, Zhiyi Huang
2022	J	`jnl`	Special issue on programming models and applications for multicores and manycores 2019-2020. Concurr. Comput. Pract. Exp. Min Si, Quan Chen, Zhiyi Huang
2021	—	`conf`	A FACT-based Approach: Making Machine Learning Collective Autotuning Feasible on Exascale Systems. ExaMPI@SC Michael Wilkins, Yanfei Guo, Rajeev Thakur, Nikos Hardavellas, Peter A. Dinda, Min Si
2021	C	`conf`	Daps: A Dynamic Asynchronous Progress Stealing Model for MPI Communication. CLUSTER Kaiming Ouyang, Min Si, Atsushi Hori, Zizhong Chen, Pavan Balaji
2021	B	`conf`	Dynamic scaling for low-precision learning. PPoPP Ruobing Han, Min Si, James Demmel, Yang You
2021	J	`jnl`	Guest Editorial. IEEE Trans. Parallel Distributed Syst. Pavan Balaji, Jidong Zhai, Min Si
2021	—	`conf`	OpenSHMEM over MPI as a Performance Contender: Thorough Analysis and Optimizations. OpenSHMEM Min Si, Huansong Fu, Jeff R. Hammond, Pavan Balaji
2021	—	`ed.`	PMAM@PPoPP 2021: Proceedings of the Twelfth International Workshop on Programming Models and Applications for Multicores and Manycores, Virtual Event, Republic of Korea, 27 February 2021 PMAM@PPoPP Quan Chen, Zhiyi Huang, Min Si
2020	A	`conf`	CAB-MPI: exploring interprocess work-stealing towards balanced MPI communication. SC Kaiming Ouyang, Min Si, Atsushi Hori, Zizhong Chen, Pavan Balaji
2020	J	`jnl`	Guest editorial: Special Issue on Applications and System Software for Hybrid Exascale Systems. Parallel Comput. Antonio J. Peña, Min Si
2020	—	`ed.`	PMAM@PPoPP '20: Eleventh International Workshop on Programming Models and Applications for Multicores and Manycores colocated with the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, San Diego, California, USA, February 22, 2020 PMAM@PPoPP Quan Chen, Zhiyi Huang, Min Si
2020	—	`conf`	Workshop 8: AsHES Accelerators and Hybrid Exascale Systems. IPDPS Workshops Min Si, Lena Oden, Simon Garcia De Gonzalo
2019	J	`jnl`	International workshop on programming models and applications for multicores and manycores (PMAM 2018). Parallel Comput. Min Si, Zhiyi Huang, Pavan Balaji
2019	J	`jnl`	Parallel programming models and systems software for high-end computing (P2S2 2018). Parallel Comput. Min Si, Abhinav Vishnu, Yong Chen
2019	—	`ed.`	Proceedings of the 10th International Workshop on Programming Models and Applications for Multicores and Manycores, PMAM@PPoPP 2019, Washington, DC, USA, February 17, 2019 PMAM@PPoPP Quan Chen, Zhiyi Huang, Min Si
2019	J	`jnl`	Scalable Deep Learning via I/O Analysis and Optimization. ACM Trans. Parallel Comput. Sarunya Pumma, Min Si, Wu-chun Feng, Pavan Balaji
2019	A	`conf`	Software combining to mitigate multithreaded MPI contention. ICS Abdelhalim Amer, Charles Archer, Michael Blocksome, Chongxiao Cao, Michael Chuvelev, Hajime Fujita, Maria Garzaran, Yanfei Guo, Jeff R. Hammond, Shintaro Iwasaki, Kenneth J. Raffenetti, Mikhail Shiryaev, Min Si, Kenjiro Taura, Sagar Thapaliya, Pavan Balaji
2018	J	`jnl`	Dynamic Adaptable Asynchronous Progress Model for MPI RMA Multiphase Applications. IEEE Trans. Parallel Distributed Syst. Min Si, Antonio J. Peña, Jeff R. Hammond, Pavan Balaji, Masamichi Takagi, Yutaka Ishikawa
2018	—	`conf`	Introduction to AsHES 2018. IPDPS Workshops Sunita Chandrasekaran, Antonio J. Peña, Min Si
2018	A	`conf`	Process-in-process: techniques for practical address-space sharing. HPDC Atsushi Hori, Min Si, Balazs Gerofi, Masamichi Takagi, Jai Dayal, Pavan Balaji, Yutaka Ishikawa
2017	B	`conf`	Parallel I/O Optimizations for Scalable Deep Learning. ICPADS Sarunya Pumma, Min Si, Wu-chun Feng, Pavan Balaji
2017	—	`conf`	Process-Based Asynchronous Progress Model for MPI Point-to-Point Communication. HPCC/SmartCity/DSS Min Si, Pavan Balaji
2017	—	`conf`	Towards Scalable Deep Learning via I/O Analysis and Optimization. HPCC/SmartCity/DSS Sarunya Pumma, Min Si, Wu-chun Feng, Pavan Balaji
2017	A	`conf`	Why is MPI so slow?: analyzing the fundamental limits in implementing MPI-3.1. SC Ken Raffenetti, Abdelhalim Amer, Lena Oden, Charles Archer, Wesley Bland, Hajime Fujita, Yanfei Guo, Tomislav Janjusic, Dmitry Durnov, Michael Blocksome, Min Si, Sangmin Seo, Akhil Langer, Gengbin Zheng, Masamichi Takagi, Paul K. Coffman, Jithin Jose, Sayantan Sur, Alexander Sannikov, Sergey Oblomov, Michael Chuvelev, Masayuki Hatanaka, Xin Zhao, Paul F. Fischer, Thilina Rathnayake, Matthew Otten, Misun Min, Pavan Balaji
2015	A	`conf`	Casper: An Asynchronous Progress Model for MPI RMA on Many-Core Architectures. IPDPS Min Si, Antonio J. Peña, Jeff R. Hammond, Pavan Balaji, Masamichi Takagi, Yutaka Ishikawa
2015	B	`conf`	Scaling NWChem with Efficient and Portable Asynchronous Communication in MPI RMA. CCGRID Min Si, Antonio J. Peña, Jeff R. Hammond, Pavan Balaji, Yutaka Ishikawa
2015	B	`conf`	Techniques for Enabling Highly Efficient Message Passing on Many-Core Architectures. CCGRID Min Si, Pavan Balaji, Yutaka Ishikawa
2014	A	`conf`	MT-MPI: multithreaded MPI for many-core environments. ICS Min Si, Antonio J. Peña, Pavan Balaji, Masamichi Takagi, Yutaka Ishikawa
2013	—	`conf`	Direct MPI Library for Intel Xeon Phi Co-Processors. IPDPS Workshops Min Si, Yutaka Ishikawa, Masamichi Takagi
2012	—	`conf`	Abstract: An MPI Library implementing Direct Communication for Many-Core Based Accelerators. SC Companion Min Si, Yutaka Ishikawa
2012	—	`conf`	Design of Direct Communication Facility for Many-Core Based Accelerators. IPDPS Workshops Min Si, Yutaka Ishikawa
2012	—	`conf`	Poster: An MPI Library implementing Direct Communication for Many-Core Based Accelerators. SC Companion Min Si, Yutaka Ishikawa