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2020 – today
- 2024
[j10]Ranran Chen
, Feng Li, Daniel Luna, Isuru Ranawaka, Fengguang Song, Sudhakar Pamidighantam, Xu Liang, Yao Liang:
Asynchronous modeling workflows in CyberWater with on-demand HPC/Cloud access. Future Gener. Comput. Syst. 159: 307-322 (2024)- [j9]Zhonghua Wang, Chen Ding, Fengguang Song, Kai Lu, Jiguang Wan, Zhihu Tan, Changsheng Xie, Guokuan Li:
WIPE: A Write-Optimized Learned Index for Persistent Memory. ACM Trans. Archit. Code Optim. 21(2): 22 (2024) - 2023
- [j8]Feng Li, Fengguang Song:
Efficient in-situ workflow planning for geographically distributed heterogeneous environments. Future Gener. Comput. Syst. 149: 105-121 (2023) - [j7]Weijian Zheng, Dali Wang, Fengguang Song:
A Distributed-GPU Deep Reinforcement Learning System for Solving Large Graph Optimization Problems. ACM Trans. Parallel Comput. 10(2): 6:1-6:23 (2023) - [c37]Feng Li, Fengguang Song:
INSTANT: A Runtime Framework to Orchestrate In-Situ Workflows. Euro-Par 2023: 199-213 - 2022
- [c36]Ranran Chen, Feng Li, Drew Bieger, Fengguang Song, Yao Liang, Daniel Luna, Ryan Young, Xu Liang, Sudhakar Pamidighantam:
CyberWater: An Open Framework for Data and Model Integration in Water Science and Engineering. CIKM 2022: 4833-4837 - [i5]Yuankun Fu, Fengguang Song:
Designing a 3D Parallel Memory-Aware Lattice Boltzmann Algorithm on Manycore Systems. CoRR abs/2208.05429 (2022) - 2021
- [j6]Weijian Zheng, Dali Wang, Fengguang Song:
Designing a parallel Feel-the-Way clustering algorithm on HPC systems. Int. J. High Perform. Comput. Appl. 35(2) (2021) - [c35]Feng Li, Ranran Chen, Yuankun Fu, Fengguang Song, Yao Liang, Isuru Ranawaka, Sudhakar Pamidighantam, Daniel Luna, Xu Liang:
Accelerating complex modeling workflows in CyberWater using on-demand HPC/Cloud resources. e-Science 2021: 196-205 - [c34]Yuankun Fu, Fengguang Song:
Designing a 3D Parallel Memory-Aware Lattice Boltzmann Algorithm on Manycore Systems. Euro-Par 2021: 519-535 - [c33]Feng Li, Dali Wang, Feng Yan, Fengguang Song:
X-composer: enabling cross-environments in-situ workflows between HPC and cloud. PASC 2021: 17:1-17:10 - [i4]Weijian Zheng, Dali Wang, Fengguang Song:
OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems. CoRR abs/2105.08764 (2021) - 2020
- [c32]Bob Zigon, Fengguang Song:
Utilizing GPU Performance Counters to Characterize GPU Kernels via Machine Learning. ICCS (1) 2020: 88-101 - [c31]Weijian Zheng, Dali Wang, Fengguang Song:
OpenGraphGym: A Parallel Reinforcement Learning Framework for Graph Optimization Problems. ICCS (5) 2020: 439-452 - [i3]Feng Li, Dali Wang, Feng Yan, Fengguang Song:
ElasticBroker: Combining HPC with Cloud to Provide Realtime Insights into Simulations. CoRR abs/2010.04828 (2020) - [i2]Yuankun Fu, Fengguang Song:
SDN helps Big Data to optimize access to data. CoRR abs/2012.15295 (2020)
2010 – 2019
- 2019
- [j5]Feng Li, Fengguang Song:
Building a scientific workflow framework to enable real-time machine learning and visualization. Concurr. Comput. Pract. Exp. 31(16) (2019) - [c30]Feng Li, Daniel G. Waddington, Fengguang Song:
Userland CO-PAGER: boosting data-intensive applications with non-volatile memory, userspace paging. HP3C 2019: 78-83 - [c29]David Cardwell, Fengguang Song:
An Extended Roofline Model with Communication-Awareness for Distributed-Memory HPC Systems. HPC Asia 2019: 26-35 - [c28]Weijian Zheng, Dali Wang, Fengguang Song:
XScan: An Integrated Tool for Understanding Open Source Community-Based Scientific Code. ICCS (1) 2019: 226-237 - [c27]Weijian Zheng, Dali Wang, Fengguang Song:
FQL: An Extensible Feature Query Language and Toolkit on Searching Software Characteristics for HPC Applications. HUST/SE-HER/WIHPC@SC 2019: 129-142 - [i1]Weijian Zheng, Dali Wang, Fengguang Song:
FQL: An Extensible Feature Query Language and Toolkit on Searching Software Characteristics for HPC Applications. CoRR abs/1905.09364 (2019) - 2018
- [j4]Weijian Zheng, Fengguang Song, Lan Lin, Zizhong Chen:
Scaling Up Parallel Computation of Tiled QR Factorizations by a Distributed Scheduling Runtime System and Analytical Modeling. Parallel Process. Lett. 28(1): 1850004:1-1850004:17 (2018) - [j3]Bob Zigon, Luoding Zhu, Fengguang Song:
Interactive 3D simulation for fluid-structure interactions using dual coupled GPUs. J. Supercomput. 74(1): 37-64 (2018) - [c26]Yuankun Fu, Feng Li, Fengguang Song, Zizhong Chen:
Performance analysis and optimization of in-situ integration of simulation with data analysis: zipping applications up. HPDC 2018: 192-205 - [c25]Yuankun Fu, Feng Li, Fengguang Song, Luoding Zhu:
Designing a Parallel Memory-Aware Lattice Boltzmann Algorithm on Manycore Systems. SBAC-PAD 2018: 97-106 - [c24]Yufeng Xue, Lan Lin, Xin Sun, Fengguang Song:
On A Simpler and Faster Derivation of Single Use Reliability Mean and Variance for Model-Based Statistical Testing (S). SEKE 2018: 635-634 - 2017
- [c23]Xiaoyang Qu, Jiguang Wan, Fengguang Song, Xiaozhao Zhuang, Fei Wu, Changsheng Xie:
OptiMatch: Enabling an Optimal Match between Green Power and Various Workloads for Renewable-Energy Powered Storage Systems. ICPP 2017: 211-220 - [c22]Weijian Zheng, Fengguang Song, Lan Lin:
Designing a Synchronization-reducing Clustering Method on Manycores: Some Issues and Improvements. MLHPC@SC 2017: 9:1-9:8 - [c21]Xin Liang, Jieyang Chen, Dingwen Tao, Sihuan Li, Panruo Wu, Hongbo Li, Kaiming Ouyang, Yuanlai Liu, Fengguang Song, Zizhong Chen:
Correcting soft errors online in fast fourier transform. SC 2017: 30 - [c20]Lan Lin, Yufeng Xue, Fengguang Song:
A Simpler and More Direct Derivation of System Reliability Using Markov Chain Usage Models. SEKE 2017: 462-466 - [c19]Feng Li, Fengguang Song:
A Real-Time Machine Learning and Visualization Framework for Scientific Workflows. PEARC 2017: 3:1-3:8 - 2016
- [j2]Lan Lin, Yufeng Xue, Fengguang Song:
An Algorithm for Forward Reduction in Sequence-Based Software Specification. Int. J. Softw. Eng. Knowl. Eng. 26(9-10): 1431-1452 (2016) - [c18]Yuankun Fu, Fengguang Song, Luoding Zhu:
Modeling and Implementation of an Asynchronous Approach to Integrating HPC and Big Data Analysis. ICCS 2016: 52-62 - [c17]Weijian Zheng, Fengguang Song, Lan Lin, Zizhong Chen:
suCAQR: A Simplified Communication-Avoiding QR Factorization Solver Using the TBLAS Framework. ICPADS 2016: 1092-1099 - 2015
- [j1]Fengguang Song, Jack J. Dongarra:
A scalable approach to solving dense linear algebra problems on hybrid CPU-GPU systems. Concurr. Comput. Pract. Exp. 27(14): 3702-3723 (2015) - [c16]Prateek Nagar, Fengguang Song, Luoding Zhu, Lan Lin:
LBM-IB: A Parallel Library to Solve 3D Fluid-Structure Interaction Problems on Manycore Systems. ICPP 2015: 51-60 - [c15]Lan Lin, Jia He, Yong Zhang, Fengguang Song:
Quality Assurance through Rigorous Software Specification and Testing: A Case Study. SCSE 2015: 257-265 - 2014
- [c14]Fengguang Song, Jack J. Dongarra:
Scaling up matrix computations on shared-memory manycore systems with 1000 CPU cores. ICS 2014: 333-342 - 2013
- [c13]Chongxiao Cao, Fengguang Song, Daniel G. Waddington:
Implementing a high-performance recommendation system using Phoenix++. ICITST 2013: 252-257 - [c12]Daniel G. Waddington, Juan A. Colmenares, Jilong Kuang, Fengguang Song:
KV-Cache: A Scalable High-Performance Web-Object Cache for Manycore. UCC 2013: 123-130 - 2012
- [c11]Fengguang Song, Stanimire Tomov, Jack J. Dongarra:
Enabling and scaling matrix computations on heterogeneous multi-core and multi-GPU systems. ICS 2012: 365-376 - [c10]Fengguang Song, Jack J. Dongarra:
A scalable framework for heterogeneous GPU-based clusters. SPAA 2012: 91-100 - 2010
- [c9]Fengguang Song, Hatem Ltaief, Bilel Hadri, Jack J. Dongarra:
Scalable Tile Communication-Avoiding QR Factorization on Multicore Cluster Systems. SC 2010: 1-11
2000 – 2009
- 2009
- [c8]Fengguang Song, Shirley Moore, Jack J. Dongarra:
Analytical modeling and optimization for affinity based thread scheduling on multicore systems. CLUSTER 2009: 1-10 - [c7]Fengguang Song, Jack J. Dongarra, Shirley Moore:
A Scalable Non-blocking Multicast Scheme for Distributed DAG Scheduling. ICCS (1) 2009: 195-204 - [c6]Fengguang Song, Asim YarKhan, Jack J. Dongarra:
Dynamic task scheduling for linear algebra algorithms on distributed-memory multicore systems. SC 2009 - 2007
- [c5]Fengguang Song, Shirley Moore, Jack J. Dongarra:
Feedback-directed thread scheduling with memory considerations. HPDC 2007: 97-106 - [c4]Fengguang Song, Shirley Moore, Jack J. Dongarra:
L2 Cache Modeling for Scientific Applications on Chip Multi-Processors. ICPP 2007: 51 - 2006
- [c3]Oscar R. Hernandez, Fengguang Song, Barbara M. Chapman, Jack J. Dongarra, Bernd Mohr, Shirley Moore, Felix Wolf:
Performance Instrumentation and Compiler Optimizations for MPI/OpenMP Applications. IWOMP 2006: 267-278 - 2005
- [c2]Nikhil Bhatia, Fengguang Song, Felix Wolf, Jack J. Dongarra, Bernd Mohr, Shirley Moore:
Automatic Experimental Analysis of Communication Patterns in Virtual Topologies. ICPP 2005: 465-472 - 2004
- [c1]Fengguang Song, Felix Wolf, Nikhil Bhatia, Jack J. Dongarra, Shirley Moore:
An Algebra for Cross-Experiment Performance Analysis. ICPP 2004: 63-72
Coauthor Index
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last updated on 2024-08-23 18:35 CEST by the dblp team
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