Shuaiwen Leon Song

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Ang LiSenior Computer Scientist, Pacific Northwest National LaboratoryVerified email at pnnl.gov
Kirk CameronProfessor of Computer Science, Virginia TechVerified email at cs.vt.edu
Kevin J. BarkerHigh Performance Computing Group Lead, Pacific Northwest National LaboratoryVerified email at pnnl.gov
Xu LiuNorth Carolina State UniversityVerified email at ncsu.edu
Xin FuElectrical and Computer Engineering Department, University of HoustonVerified email at central.uh.edu
Barry RountreeLawrence Livermore National LaboratoryVerified email at llnl.gov
Henk CorporaalProfessor Embedded System Architectures, Eindhoven University of Technology, the NetherlandsVerified email at tue.nl
Akash KumarFull Professor of Processor Design, Computer Science, Technische Universität DresdenVerified email at tu-dresden.de
Eddy Z. ZhangAssociate Professor of Computer Science, Rutgers UniversityVerified email at scarletmail.rutgers.edu
Xingyao Zhang, Ph.D.Software Engineer, Google Cloud PlatformVerified email at google.com
Nathan R. TallentPacific Northwest National LaboratoryVerified email at pnnl.gov
Donglin ZhuangThe University of SydneyVerified email at sydney.edu.au
Weifeng Liu (刘伟峰)Professor in Computer Science, China University of Petroleum-BeijingVerified email at cup.edu.cn
Yang YouPresidential Young Professor, National University of SingaporeVerified email at comp.nus.edu.sg
Linnan WangBrown UniversityVerified email at brown.edu
Zizhong (Jeffrey) ChenProfessor of Computer Science, University of California, RiversideVerified email at cs.ucr.edu
Pavan BalajiArgonne National LaboratoryVerified email at anl.gov
Kapil AgarwalSoftware Engineer at FacebookVerified email at fb.com
Amanda (Peters) RandlesDuke UniversityVerified email at duke.edu
Sriram KrishnamoorthyPacific Northwest National LaboratoryVerified email at pnnl.gov

Shuaiwen Leon Song

Senior Principle Scientist, Microsoft; SOAR Associate Professor, University of Sydney

Verified email at sydney.edu.au - Homepage

Machine Learning System Novel System Software-Hardware Co-Design HPC Machine Learning System Planet-Scale VR/AR System Desig


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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	527	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	200	2018
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	175	2013
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	147	2019
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	128	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	95	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	75	2017
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	68	2011
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	66	2009
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	57	2018
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	52	2017
Unified performance and power modeling of scientific workloads SL Song, K Barker, D Kerbyson Proceedings of the 1st International Workshop on Energy Efficient …, 2013	51	2013
Mic-svm: Designing a highly efficient support vector machine for advanced modern multi-core and many-core architectures Y You, SL Song, H Fu, A Marquez, MM Dehnavi, K Barker, KW Cameron, ... 2014 IEEE 28th International Parallel and Distributed Processing Symposium …, 2014	50	2014
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	48	2016
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	44	2015
The power-performance tradeoffs of the Intel Xeon Phi on HPC applications B Li, HC Chang, S Song, CY Su, T Meyer, J Mooring, KW Cameron 2014 IEEE International Parallel & Distributed Processing Symposium …, 2014	43	2014
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	42	2017
Cudaadvisor: Llvm-based runtime profiling for modern gpus D Shen, SL Song, A Li, X Liu Proceedings of the 2018 International Symposium on Code Generation and …, 2018	40	2018
Scaling support vector machines on modern HPC platforms Y You, H Fu, SL Song, A Randles, D Kerbyson, A Marquez, G Yang, ... Journal of Parallel and Distributed Computing 76, 16-31, 2015	37	2015
Evograph: On-the-fly efficient mining of evolving graphs on gpu D Sengupta, SL Song High Performance Computing: 32nd International Conference, ISC High …, 2017	36	2017

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