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ORCIDHao Lu 0001
Person information
- affiliation: Washington State University, Pullman, WA, USA
Other persons with the same name
- Hao Lu — disambiguation page
- Hao Lu 0002
![[0000-0002-8065-8499]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-8065-8499")
— Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China - Hao Lu 0003 — University of Adelaide, Australia (and 1 more)
- Hao Lu 0004 — Beijing Forestry University, School of Information Science and Technology, Beijing, China
- Hao Lu 0005 — Shandong Normal University, College of Physics and Electronics Science, Jinan, China
- Hao Lu 0006 — University of Notre Dame, Department of Electrical Engineering, Notre Dame, IN, USA
- Hao Lu 0007 — Army Engineering University of PLA, Nanjing, China
- Hao Lu 0008 — University of Science and Technology of China, Wireless Information Network Laboratory, Department of Electronic Engineering and Information Science, Hefei, China
- Hao Lu 0009 — Hong Kong University of Science and Technology, Hong Kong (and 1 more)
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2020 – today
- 2024
[c21]Naw Safrin Sattar, Hao Lu, Feiyi Wang, Mahantesh Halappanavar:
Distributed Multi-GPU Community Detection on Exascale Computing Platforms. IPDPS (Workshops) 2024: 815-824- [c20]Naw Safrin Sattar, Hao Lu, Feiyi Wang:
BCSR on GPU: A Way Forward Extreme-scale Graph Processing on Accelerator-enabled Frontier Supercomputer. SC Workshops 2024: 280-289 - [c19]Haoshen Yang, Hao Lu, Naw Safrin Sattar, Hang Liu, Feiyi Wang:
Establish the basis for Breadth-First Search on Frontier System: XBFS on AMD GPUs. SC Workshops 2024: 650-658 - [c18]Ahmad Maroof Karimi, Matthias Maiterth, Woong Shin, Naw Safrin Sattar, Hao Lu, Feiyi Wang:
Exploring the Frontiers of Energy Efficiency using Power Management at System Scale. SC Workshops 2024: 1835-1844 - [i3]Aditya Kashi, Arka Daw, Muralikrishnan Gopalakrishnan Meena, Hao Lu:
Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations. CoRR abs/2406.16740 (2024) - [i2]Ahmad Maroof Karimi, Matthias Maiterth, Woong Shin, Naw Safrin Sattar, Hao Lu, Feiyi Wang:
Exploring the Frontiers of Energy Efficiency using Power Management at System Scale. CoRR abs/2408.01552 (2024) - 2023
- [j5]Darren J. Hsu, Hao Lu, Aditya Kashi, Michael A. Matheson, John Gounley, Feiyi Wang, Wayne Joubert, Jens Glaser:
TwoFold: Highly accurate structure and affinity prediction for protein-ligand complexes from sequences. Int. J. High Perform. Comput. Appl. 37(6): 666-682 (2023) - [c17]Hao Lu, Piyush Sao, Michael A. Matheson, Ramakrishnan Kannan, Feiyi Wang, Thomas E. Potok:
Optimizing Communication in 2D Grid-Based MPI Applications at Exascale. EuroMPI 2023: 9:1-9:11 - 2022
- [c16]Ramakrishnan Kannan, Piyush Sao, Hao Lu, Jakub Kurzak, Gundolf Schenk, Yongmei Shi, Seung-Hwan Lim, Sharat Israni, Vijay Thakkar, Guojing Cong, Robert M. Patton, Sergio E. Baranzini, Richard W. Vuduc, Thomas E. Potok:
Exaflops Biomedical Knowledge Graph Analytics. SC 2022: 6:1-6:11 - [c15]Hao Lu, Michael A. Matheson, Vladyslav Oles, J. Austin Ellis, Wayne Joubert, Feiyi Wang:
Climbing the Summit and Pushing the Frontier of Mixed Precision Benchmarks at Extreme Scale. SC 2022: 78:1-78:15 - 2021
- [c14]Bill Kay, Hao Lu, Pravallika Devineni, Anika Tabassum, Supriya Chinthavali, Sangkeun Matt Lee:
Identification of Critical Infrastructure via PageRank. IEEE BigData 2021: 3685-3690 - [c13]Piyush Sao, Hao Lu, Ramakrishnan Kannan, Vijay Thakkar, Richard W. Vuduc, Thomas E. Potok:
Scalable All-pairs Shortest Paths for Huge Graphs on Multi-GPU Clusters. HPDC 2021: 121-131 - 2020
- [c12]Pravallika Devineni, Bill Kay, Hao Lu, Anika Tabassum, Supriya Chinthavali, Sangkeun Matt Lee:
Toward Quantifying Vulnerabilities in Critical Infrastructure Systems. IEEE BigData 2020: 2884-2890 - [c11]Ramakrishnan Kannan, Piyush Sao, Hao Lu, Drahomira Herrmannova, Vijay Thakkar, Robert M. Patton, Richard W. Vuduc, Thomas E. Potok:
Scalable knowledge graph analytics at 136 petaflop/s. SC 2020: 6 - [c10]Benjamín Hernández, Suhas Somnath, Junqi Yin, Hao Lu, Joe Eaton, Peter Entschev, John Kirkham, Zahra Ronaghi:
Performance Evaluation of Python Based Data Analytics Frameworks in Summit: Early Experiences. SMC 2020: 366-380
2010 – 2019
- 2018
- [c9]Hao Lu, Sudip K. Seal, Jonathan D. Poplawsky:
Scalable Proximity-Based Methods for Large-Scale Analysis of Atom Probe Data. HiPC 2018: 235-244 - [c8]Hao Lu, Sudip K. Seal, Gregory Muzyn, Wei Guo, Jonathan D. Poplawsky:
Efficient, Parallel At-scale Correlation Analysis for Atom Probe Tomography on Hybrid Architectures. IPDPS 2018: 54-63 - [c7]Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Hao Lu, Daniel G. Chavarría-Miranda, Arif Khan, Assefaw Hadish Gebremedhin:
Distributed Louvain Algorithm for Graph Community Detection. IPDPS 2018: 885-895 - 2017
- [j4]Hao Lu, Mahantesh Halappanavar, Daniel G. Chavarría-Miranda, Assefaw Hadish Gebremedhin, Ajay Panyala, Ananth Kalyanaraman:
Algorithms for Balanced Graph Colorings with Applications in Parallel Computing. IEEE Trans. Parallel Distributed Syst. 28(5): 1240-1256 (2017) - [c6]Karthi Duraisamy, Hao Lu, Partha Pratim Pande, Ananth Kalyanaraman:
Accelerating Graph Community Detection with Approximate Updates via an Energy-Efficient NoC. DAC 2017: 89:1-89:6 - [c5]Mahantesh Halappanavar, Hao Lu, Ananth Kalyanaraman, Antonino Tumeo:
Scalable static and dynamic community detection using Grappolo. HPEC 2017: 1-6 - [c4]Hao Lu, Sudip K. Seal, Wei Guo, John Poplawsky:
Spherical Region Queries on Multicore Architectures. IA3@SC 2017: 9:1-9:4 - 2016
- [j3]Ananth Kalyanaraman, Mahantesh Halappanavar, Daniel G. Chavarría-Miranda, Hao Lu, Karthi Duraisamy, Partha Pratim Pande:
Fast Uncovering of Graph Communities on a Chip: Toward Scalable Community Detection on Multicore and Manycore Platforms. Found. Trends Electron. Des. Autom. 10(3): 145-247 (2016) - [j2]Karthi Duraisamy, Hao Lu, Partha Pratim Pande, Ananth Kalyanaraman:
High-Performance and Energy-Efficient Network-on-Chip Architectures for Graph Analytics. ACM Trans. Embed. Comput. Syst. 15(4): 66:1-66:26 (2016) - 2015
- [j1]Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman:
Parallel heuristics for scalable community detection. Parallel Comput. 47: 19-37 (2015) - [c3]Karthi Duraisamy, Hao Lu, Partha Pratim Pande, Ananth Kalyanaraman:
High performance and energy efficient wireless NoC-enabled multicore architectures for graph analytics. CASES 2015: 147-156 - [c2]Hao Lu, Mahantesh Halappanavar, Daniel G. Chavarría-Miranda, Assefaw Hadish Gebremedhin, Ananth Kalyanaraman:
Balanced Coloring for Parallel Computing Applications. IPDPS 2015: 7-16 - 2014
- [c1]Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman, Sutanay Choudhury:
Parallel Heuristics for Scalable Community Detection. IPDPS Workshops 2014: 1374-1385 - [i1]Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman:
Parallel Heuristics for Scalable Community Detection. CoRR abs/1410.1237 (2014)
Coauthor Index
aka: Ananth Kalyanaraman
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