Hao Lu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 13

Top Topics

Parallel Computing

Community Detection

Correlation Analysis

Top Venues

ACM Trans. Embed. Comput. Syst.

Publications

Naw Safrin Sattar, Hao Lu, Feiyi Wang, Mahantesh Halappanavar
Distributed Multi-GPU Community Detection on Exascale Computing Platforms. IPDPS (Workshops) (2024)
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 (2024)
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) (2023)
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)
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)
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)
Hao Lu, Sudip K. Seal, Jonathan D. Poplawsky
Scalable Proximity-Based Methods for Large-Scale Analysis of Atom Probe Data. HiPC (2018)
Mahantesh Halappanavar, Hao Lu, Ananth Kalyanaraman, Antonino Tumeo
Scalable static and dynamic community detection using Grappolo. HPEC (2017)
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) (2017)
Karthi Duraisamy, Hao Lu, Partha Pratim Pande, Ananth Kalyanaraman
Accelerating Graph Community Detection with Approximate Updates via an Energy-Efficient NoC. DAC (2017)
Hao Lu, Sudip K. Seal, Wei Guo, John Poplawsky
Spherical Region Queries on Multicore Architectures. IA3@SC (2017)
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) (2016)
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) (2016)
Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman
Parallel heuristics for scalable community detection. Parallel Comput. 47 (2015)
Hao Lu, Mahantesh Halappanavar, Daniel G. Chavarría-Miranda, Assefaw Hadish Gebremedhin, Ananth Kalyanaraman
Balanced Coloring for Parallel Computing Applications. IPDPS (2015)
Karthi Duraisamy, Hao Lu, Partha Pratim Pande, Ananth Kalyanaraman
High performance and energy efficient wireless NoC-enabled multicore architectures for graph analytics. CASES (2015)
Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman
Parallel Heuristics for Scalable Community Detection. CoRR (2014)
Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman, Sutanay Choudhury
Parallel Heuristics for Scalable Community Detection. IPDPS Workshops (2014)