Shuang Song

20 papers A* 3A 3B 3C 1Misc 1Journal 4Unranked 5
YearRankTypeTitle / Venue / Authors
2024 — conf
Characterizing the Performance of Emerging Deep Learning, Graph, and High Performance Computing Workloads Under Interference.
IPDPS (Workshops)
Hao Xu, Shuang Song, Ze Mao
2023 J jnl
Characterizing the Performance of Emerging Deep Learning, Graph, and High Performance Computing Workloads Under Interference.
CoRR
Hao Xu, Shuang Song, Ze Mao
2020 Misc conf
Accelerating Force-directed Graph Layout with Processing-in-Memory Architecture.
HiPC
Ruihao Li, Shuang Song, Qinzhe Wu, Lizy K. John
2020 J jnl
Demystifying graph processing frameworks and benchmarks.
Sci. China Inf. Sci.
Junyong Deng, Qinzhe Wu, Xiaoyan Wu, Shuang Song, Joseph Dean, Lizy Kurian John
2019 B conf
A Study of Core Utilization and Residency in Heterogeneous Smart Phone Architectures.
ICPE
Joseph Whitehouse, Qinzhe Wu, Shuang Song, Eugene John, Andreas Gerstlauer, Lizy K. John
2019 A conf
Can we trust profiling results?: understanding and fixing the inaccuracy in modern profilers.
ICS
Hao Xu, Qingsen Wang, Shuang Song, Lizy Kurian John, Xu Liu
2018 — conf
Invited Paper for the Hot Workloads Special Session Hot Regions in SPEC CPU2017.
IISWC
Qinzhe Wu, Steven Flolid, Shuang Song, Junyong Deng, Lizy K. John
2018 C conf
Puzzle Memory: Multifractional Partitioned Heterogeneous Memory Scheme.
ICCD
Jee Ho Ryoo, Shuang Song, Lizy K. John
2018 J jnl
Start Late or Finish Early: A Distributed Graph Processing System with Redundancy Reduction.
CoRR
Shuang Song, Xu Liu, Qinzhe Wu, Andreas Gerstlauer, Tao Li, Lizy K. John
2018 J jnl
Start Late or Finish Early: A Distributed Graph Processing System with Redundancy Reduction.
Proc. VLDB Endow.
Shuang Song, Xu Liu, Qinzhe Wu, Andreas Gerstlauer, Tao Li, Lizy K. John
2018 A* conf
Wait of a Decade: Did SPEC CPU 2017 Broaden the Performance Horizon?
HPCA
Reena Panda, Shuang Song, Joseph Dean, Lizy K. John
2017 A* conf
CSALT: context switch aware large TLB.
MICRO
Yashwant Marathe, Nagendra Gulur, Jee Ho Ryoo, Shuang Song, Lizy K. John
2017 — conf
Fine-Grain Program Snippets Generator for Mobile Core Design.
ACM Great Lakes Symposium on VLSI
Shuang Song, Raj Desikan, Mohamad Barakat, Sridhar Sundaram, Andreas Gerstlauer, Lizy K. John
2017 A* conf
Rethinking TLB Designs in Virtualized Environments: A Very Large Part-of-Memory TLB.
ISCA
Jee Ho Ryoo, Nagendra Gulur, Shuang Song, Lizy K. John
2017 A conf
Sampling-based binary-level cross-platform performance estimation.
DATE
Xinnian Zheng, Haris Vikalo, Shuang Song, Lizy K. John, Andreas Gerstlauer
2016 — conf
Fine-grained power analysis of emerging graph processing workloads for cloud operations management.
IEEE BigData
Shuang Song, Xinnian Zheng, Andreas Gerstlauer, Lizy K. John
2016 — conf
Genesys: Automatically generating representative training sets for predictive benchmarking.
SAMOS
Reena Panda, Xinnian Zheng, Shuang Song, Jee Ho Ryoo, Michael LeBeane, Andreas Gerstlauer, Lizy K. John
2016 B conf
Proxy-Guided Load Balancing of Graph Processing Workloads on Heterogeneous Clusters.
ICPP
Shuang Song, Meng Li, Xinnian Zheng, Michael LeBeane, Jee Ho Ryoo, Reena Panda, Andreas Gerstlauer, Lizy K. John
2015 A conf
Data partitioning strategies for graph workloads on heterogeneous clusters.
SC
Michael LeBeane, Shuang Song, Reena Panda, Jee Ho Ryoo, Lizy K. John
2015 B conf
GPGPU Benchmark Suites: How Well Do They Sample the Performance Spectrum?
ICPP
Jee Ho Ryoo, Saddam Jamil Quirem, Michael LeBeane, Reena Panda, Shuang Song, Lizy K. John