Shuaiwen Leon Song

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Soavtorji

Ang LiPacific Northwest National Laboratory and University of WashingtonPreverjeni e-poštni naslov na pnnl.gov
Kirk CameronProfessor of Computer Science, Virginia TechPreverjeni e-poštni naslov na cs.vt.edu
Xin FuElectrical and Computer Engineering Department, University of HoustonPreverjeni e-poštni naslov na central.uh.edu
Kevin J. BarkerHigh Performance Computing Group Lead, Pacific Northwest National LaboratoryPreverjeni e-poštni naslov na pnnl.gov
Xu LiuGooglePreverjeni e-poštni naslov na ncsu.edu
Donglin ZhuangThe University of SydneyPreverjeni e-poštni naslov na sydney.edu.au
Xingyao Zhang, Ph.D.GooglePreverjeni e-poštni naslov na google.com
Barry RountreeLawrence Livermore National LaboratoryPreverjeni e-poštni naslov na llnl.gov
Nathan R. TallentPacific Northwest National LaboratoryPreverjeni e-poštni naslov na pnnl.gov
Haojun XiaUniversity of SydneyPreverjeni e-poštni naslov na uni.sydney.edu.au
Akash KumarFull Professor, Chair of Embedded Systems, Ruhr University BochumPreverjeni e-poštni naslov na rub.de
Eddy Z. ZhangProfessor of Computer Science, Rutgers UniversityPreverjeni e-poštni naslov na scarletmail.rutgers.edu
Yang YouPresidential Young Professor, National University of SingaporePreverjeni e-poštni naslov na comp.nus.edu.sg
Linnan WangBrown UniversityPreverjeni e-poštni naslov na brown.edu
Kapil AgarwalSoftware Engineer at FacebookPreverjeni e-poštni naslov na fb.com
Amanda (Peters) RandlesDuke UniversityPreverjeni e-poštni naslov na duke.edu
Zizhong (Jeffrey) ChenProfessor of Computer Science, University of California, RiversidePreverjeni e-poštni naslov na cs.ucr.edu
Michael TaylorProfessor of Computer Science & Engineering and EE, U. WashingtonPreverjeni e-poštni naslov na uw.edu
Pavan BalajiArgonne National LaboratoryPreverjeni e-poštni naslov na anl.gov
Martin HerbordtProfessor, Electrical and Computer Engineering, Boston UniversityPreverjeni e-poštni naslov na bu.edu

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Shuaiwen Leon Song

VP of Research, Together.ai; Ex-Microsoft; Tenured Professor

Preverjeni e-poštni naslov na together.ai - Domača stran

Large-Scale ML System Design High Performance Computing Frontier Technologies


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Powerpack: Energy profiling and analysis of high-performance systems and applications R Ge, X Feng, S Song, HC Chang, D Li, KW Cameron IEEE Transactions on Parallel and Distributed Systems 21 (5), 658-671, 2009	545	2009
Superneurons: Dynamic GPU memory management for training deep neural networks L Wang, J Ye, Y Zhao, W Wu, A Li, SL Song, Z Xu, T Kraska Proceedings of the 23rd ACM SIGPLAN symposium on principles and practice of …, 2018	322	2018
Evaluating modern gpu interconnect: Pcie, nvlink, nv-sli, nvswitch and gpudirect A Li, SL Song, J Chen, J Li, X Liu, NR Tallent, KJ Barker IEEE Transactions on Parallel and Distributed Systems 31 (1), 94-110, 2019	302	2019
A Simplified and Accurate Model of Power-Performance Efficiency on Emergent GPU Architectures S Song, C Su, B Rountree, KW Cameron 27th IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2013	217	2013
Locality-driven dynamic GPU cache bypassing C Li, SL Song, H Dai, A Sidelnik, SKS Hari, H Zhou Proceedings of the 29th ACM on International Conference on Supercomputing, 67-77, 2015	143	2015
Graphreduce: processing large-scale graphs on accelerator-based systems D Sengupta, SL Song, K Agarwal, K Schwan Proceedings of the International Conference for High Performance Computing …, 2015	112	2015
Locality-aware CTA clustering for modern GPUs A Li, SL Song, W Liu, X Liu, A Kumar, H Corporaal ACM SIGARCH Computer Architecture News 45 (1), 297-311, 2017	97	2017
Randomness in neural network training: Characterizing the impact of tooling D Zhuang, X Zhang, S Song, S Hooker Proceedings of Machine Learning and Systems 4, 316-336, 2022	96	2022
Deepspeed ulysses: System optimizations for enabling training of extreme long sequence transformer models SA Jacobs, M Tanaka, C Zhang, M Zhang, SL Song, S Rajbhandari, Y He arXiv preprint arXiv:2309.14509, 2023	73	2023
Iso-energy-efficiency: An approach to power-constrained parallel computation S Song, CY Su, R Ge, A Vishnu, KW Cameron 2011 IEEE International Parallel & Distributed Processing Symposium, 128-139, 2011	71	2011
AStitch: enabling a new multi-dimensional optimization space for memory-intensive ML training and inference on modern SIMT architectures Z Zheng, X Yang, P Zhao, G Long, K Zhu, F Zhu, W Zhao, X Liu, J Yang, ... Proceedings of the 27th ACM International Conference on Architectural …, 2022	69	2022
Tartan: evaluating modern GPU interconnect via a multi-GPU benchmark suite A Li, SL Song, J Chen, X Liu, N Tallent, K Barker 2018 IEEE International Symposium on Workload Characterization (IISWC), 191-202, 2018	69	2018
Energy profiling and analysis of the hpc challenge benchmarks S Song, R Ge, X Feng, KW Cameron The International Journal of High Performance Computing Applications 23 (3 …, 2009	68	2009
Unified performance and power modeling of scientific workloads SL Song, K Barker, D Kerbyson Proceedings of the 1st International Workshop on Energy Efficient …, 2013	62	2013
Processing-in-memory enabled graphics processors for 3D rendering C Xie, SL Song, J Wang, W Zhang, X Fu 2017 IEEE International Symposium on High Performance Computer Architecture …, 2017	61	2017
Flash-llm: Enabling cost-effective and highly-efficient large generative model inference with unstructured sparsity H Xia, Z Zheng, Y Li, D Zhuang, Z Zhou, X Qiu, Y Li, W Lin, SL Song arXiv preprint arXiv:2309.10285, 2023	57	2023
Exploring and analyzing the real impact of modern on-package memory on HPC scientific kernels A Li, W Liu, MRB Kristensen, B Vinter, H Wang, K Hou, A Marquez, ... Proceedings of the International Conference for High Performance Computing …, 2017	57	2017
New-sum: A novel online abft scheme for general iterative methods D Tao, SL Song, S Krishnamoorthy, P Wu, X Liang, EZ Zhang, ... Proceedings of the 25th ACM International Symposium on High-Performance …, 2016	57	2016
Deepspeed-chat: Easy, fast and affordable rlhf training of chatgpt-like models at all scales Z Yao, RY Aminabadi, O Ruwase, S Rajbhandari, X Wu, AA Awan, ... arXiv preprint arXiv:2308.01320, 2023	56	2023
Investigating the interplay between energy efficiency and resilience in high performance computing L Tan, SL Song, P Wu, Z Chen, R Ge, DJ Kerbyson 2015 IEEE International Parallel and Distributed Processing Symposium, 786-796, 2015	56	2015

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