Shuang Song
Shuang Song
Research Scientist, Facebook
Verified email at
Cited by
Cited by
Wait of a Decade: Did SPEC CPU 2017 Broaden the Performance Horizon?
S Song, R Panda, J Dean, LL John
IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2018
Rethinking TLB Designs in Virtualized Environments: A Very Large Part-of-Memory TLB
JH Ryoo, N Gulur, S Song, LK John
International Symposium on Computer Architecture (ISCA), 2017
Data Partitioning Strategies for Graph Workloads on Heterogeneous Clusters
M LeBeane, S Song, R Panda, JH Ryoo, LK John
The IEEE International Conference for High Performance Computing, Networking …, 2015
CSALT: Context switch aware large TLB
Y Marathe, N Gulur, JH Ryoo, S Song, LK John
Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017
Proxy-Guided Load Balancing of Graph Processing Workloads on Heterogeneous Clusters
S Song, M Li, X Zheng, JH Ryoo, R Panda, M LeBeane, A Gerstlauer, ...
The IEEE International Conference on Parallel Processing (ICPP), 2016
Start late or finish early: A distributed graph processing system with redundancy reduction
S Song, X Liu, Q Wu, A Gerstlauer, T Li, LK John
arXiv preprint arXiv:1805.12305, 2018
MEST: A Model-driven Efficient Searching Approach for MapReduce Self-Tuning
Z Bei, Z Yu, Q Liu, C Xu, S Feng, S Song
IEEE Access, 1 - 1, 2017
GPGPU Benchmark Suites: How Well Do They Sample the Performance Spectrum
JH Ryoo, S Quirem, M LeBeane, R Panda, S Song, LK John
The IEEE International Conference on Parallel Processing (ICPP), 2015
Sampling-Based Binary-Level Cross-Platform Performance Estimation
X Zheng, H Vikalo, S Song, LK John, A Gerstlauer
Design, Automation, and Test in Europe (DATE 2017), 2017
Fine-grained Power Analysis of Emerging Graph Processing Workloads for Cloud Operations Management
S Song, X Zheng, A Gerstlauer, LK John
IEEE International Conference on Big Data (BigData), 2016
Hot regions in SPEC CPU2017
Q Wu, S Flolid, S Song, J Deng, LK John
2018 IEEE International Symposium on Workload Characterization (IISWC), 2018
Genesys: Automatically Generating Representative Training-sets
R Panda, X Zheng, S Song, JH Ryoo, M LeBeane, A Gerstlauer, LK John
The IEEE International Conference on Embedded Computer Systems …, 2016
Can we trust profiling results? Understanding and fixing the inaccuracy in modern profilers
H Xu, Q Wang, S Song, LK John, X Liu
Proceedings of the ACM International Conference on Supercomputing, 284-295, 2019
Experiments with spec cpu 2017: Similarity, balance, phase behavior and simpoints
S Song, Q Wu, S Flolid, J Dean, R Panda, J Deng, LK John
tech. rep., TR-180515-01, 2018
Guided load balancing of graph processing workloads on heterogeneous clusters
LK John, S Song, A Gerstlauer
US Patent 10,437,648, 2019
Puzzle Memory: Multifractional Partitioned Heterogeneous Memory Scheme
JH Ryoo, S Song, LK John
2018 IEEE 36th International Conference on Computer Design (ICCD), 310-317, 2018
An efficient uncertain graph processing framework for heterogeneous architectures
H Zhang, L Li, D Zhuang, R Liu, S Song, D Tao, Y Wu, SL Song
Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of …, 2021
POSTER: An Efficient Uncertain Graph Processing Framework for Heterogeneous Architectures
H Zhang, L Li, D Zhuang, R Liu, S Song, D Tao, Y Wu, SL Song
Demystifying graph processing frameworks and benchmarks
J Deng, Q Wu, X Wu, S Song, J Dean, LK John
Science China Information Sciences 63 (12), 1-3, 2020
HRM: H-tree based reconfiguration mechanism in reconfigurable homogeneous PE array
J Deng, L Jiang, Y Zhu, X Xie, X Liu, F He, S Song, LK John
Journal of Semiconductors 41 (2), 022402, 2020
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