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2020 – today
- 2024
[i2]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:
Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression. CoRR abs/2407.04272 (2024)- 2023
- [j11]Sunita Chandrasekaran
, Min Si, Jidong Zhai, Lena Oden:
Special issue on new trends in high-performance computing: Software systems and applications. Softw. Pract. Exp. 53(1): 3-5 (2023) - [c24]Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur:
PiP-MColl: Process-in-Process-based Multi-object MPI Collectives. CLUSTER 2023: 354-364 - [c23]Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur:
Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques. HPDC 2023: 333-334 - [c22]Anqi Guo, Yuchen Hao, Chunshu Wu, Pouya Haghi, Zhenyu Pan, Min Si, Dingwen Tao, Ang Li, Martin C. Herbordt, Tong Geng:
Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training. ICS 2023: 336-347 - [e4]Quan Chen, Zhiyi Huang, Min Si:
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. ACM 2023, ISBN 979-8-4007-0115-3 [contents] - [i1]Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur:
Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques. CoRR abs/2305.10612 (2023) - 2022
- [j10]Min Si, Quan Chen, Zhiyi Huang:
Special issue on programming models and applications for multicores and manycores 2019-2020. Concurr. Comput. Pract. Exp. 34(2) (2022) - [j9]Min Si, Quan Chen, Zhiyi Huang:
Special Issue on Programming Models and Applications for Multicores and Manycores 2020. Concurr. Comput. Pract. Exp. 34(2) (2022) - [j8]Sayan Ghosh, Ryan E. Grant, Min Si:
Special Issue on Hot Interconnects. IEEE Micro 42(2): 35-36 (2022) - [j7]Jidong Zhai, Min Si, Antonio J. Peña:
Guest Editorial. IEEE Trans. Parallel Distributed Syst. 33(11): 2644-2647 (2022) - 2021
- [j6]Pavan Balaji, Jidong Zhai, Min Si:
Guest Editorial. IEEE Trans. Parallel Distributed Syst. 32(7): 1511-1512 (2021) - [c21]Kaiming Ouyang, Min Si, Atsushi Hori, Zizhong Chen, Pavan Balaji:
Daps: A Dynamic Asynchronous Progress Stealing Model for MPI Communication. CLUSTER 2021: 516-527 - [c20]Michael Wilkins, Yanfei Guo, Rajeev Thakur, Nikos Hardavellas, Peter A. Dinda, Min Si:
A FACT-based Approach: Making Machine Learning Collective Autotuning Feasible on Exascale Systems. ExaMPI@SC 2021: 36-45 - [c19]Min Si, Huansong Fu, Jeff R. Hammond, Pavan Balaji:
OpenSHMEM over MPI as a Performance Contender: Thorough Analysis and Optimizations. OpenSHMEM 2021: 39-60 - [c18]Ruobing Han, Min Si, James Demmel, Yang You:
Dynamic scaling for low-precision learning. PPoPP 2021: 480-482 - [e3]Quan Chen, Zhiyi Huang, Min Si:
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. ACM 2021, ISBN 978-1-4503-8348-6 [contents] - 2020
- [j5]Antonio J. Peña, Min Si:
Guest editorial: Special Issue on Applications and System Software for Hybrid Exascale Systems. Parallel Comput. 91 (2020) - [c17]Min Si, Lena Oden, Simon Garcia De Gonzalo:
Workshop 8: AsHES Accelerators and Hybrid Exascale Systems. IPDPS Workshops 2020: 430 - [c16]Kaiming Ouyang, Min Si, Atsushi Hori, Zizhong Chen, Pavan Balaji:
CAB-MPI: exploring interprocess work-stealing towards balanced MPI communication. SC 2020: 36 - [e2]Quan Chen, Zhiyi Huang, Min Si:
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. ACM 2020, ISBN 978-1-4503-7522-1 [contents]
2010 – 2019
- 2019
- [j4]Min Si, Zhiyi Huang, Pavan Balaji:
International workshop on programming models and applications for multicores and manycores (PMAM 2018). Parallel Comput. 88 (2019) - [j3]Min Si, Abhinav Vishnu, Yong Chen:
Parallel programming models and systems software for high-end computing (P2S2 2018). Parallel Comput. 89 (2019) - [j2]Sarunya Pumma, Min Si, Wu-Chun Feng, Pavan Balaji:
Scalable Deep Learning via I/O Analysis and Optimization. ACM Trans. Parallel Comput. 6(2): 6:1-6:34 (2019) - [c15]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:
Software combining to mitigate multithreaded MPI contention. ICS 2019: 367-379 - [e1]Quan Chen, Zhiyi Huang, Min Si:
Proceedings of the 10th International Workshop on Programming Models and Applications for Multicores and Manycores, PMAM@PPoPP 2019, Washington, DC, USA, February 17, 2019. ACM 2019, ISBN 978-1-4503-6290-0 [contents] - 2018
- [j1]Min Si, Antonio J. Peña, Jeff R. Hammond, Pavan Balaji, Masamichi Takagi, Yutaka Ishikawa:
Dynamic Adaptable Asynchronous Progress Model for MPI RMA Multiphase Applications. IEEE Trans. Parallel Distributed Syst. 29(9): 1975-1989 (2018) - [c14]Atsushi Hori, Min Si, Balazs Gerofi, Masamichi Takagi, Jai Dayal, Pavan Balaji, Yutaka Ishikawa:
Process-in-process: techniques for practical address-space sharing. HPDC 2018: 131-143 - [c13]Sunita Chandrasekaran, Antonio J. Peña, Min Si:
Introduction to AsHES 2018. IPDPS Workshops 2018: 520 - 2017
- [c12]Min Si, Pavan Balaji:
Process-Based Asynchronous Progress Model for MPI Point-to-Point Communication. HPCC/SmartCity/DSS 2017: 206-214 - [c11]Sarunya Pumma, Min Si, Wu-chun Feng, Pavan Balaji:
Towards Scalable Deep Learning via I/O Analysis and Optimization. HPCC/SmartCity/DSS 2017: 223-230 - [c10]Sarunya Pumma, Min Si, Wu-chun Feng, Pavan Balaji:
Parallel I/O Optimizations for Scalable Deep Learning. ICPADS 2017: 720-729 - [c9]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:
Why is MPI so slow?: analyzing the fundamental limits in implementing MPI-3.1. SC 2017: 62 - 2015
- [c8]Min Si, Pavan Balaji, Yutaka Ishikawa:
Techniques for Enabling Highly Efficient Message Passing on Many-Core Architectures. CCGRID 2015: 697-700 - [c7]Min Si, Antonio J. Peña, Jeff R. Hammond, Pavan Balaji, Yutaka Ishikawa:
Scaling NWChem with Efficient and Portable Asynchronous Communication in MPI RMA. CCGRID 2015: 811-816 - [c6]Min Si, Antonio J. Peña, Jeff R. Hammond, Pavan Balaji, Masamichi Takagi, Yutaka Ishikawa:
Casper: An Asynchronous Progress Model for MPI RMA on Many-Core Architectures. IPDPS 2015: 665-676 - 2014
- [c5]Min Si, Antonio J. Peña, Pavan Balaji, Masamichi Takagi, Yutaka Ishikawa:
MT-MPI: multithreaded MPI for many-core environments. ICS 2014: 125-134 - 2013
- [c4]Min Si, Yutaka Ishikawa, Masamichi Takagi:
Direct MPI Library for Intel Xeon Phi Co-Processors. IPDPS Workshops 2013: 816-824 - 2012
- [c3]Min Si, Yutaka Ishikawa:
Design of Direct Communication Facility for Many-Core Based Accelerators. IPDPS Workshops 2012: 924-929 - [c2]Min Si, Yutaka Ishikawa:
Abstract: An MPI Library implementing Direct Communication for Many-Core Based Accelerators. SC Companion 2012: 1527-1528 - [c1]Min Si, Yutaka Ishikawa:
Poster: An MPI Library implementing Direct Communication for Many-Core Based Accelerators. SC Companion 2012: 1529
Coauthor Index
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