Hao Lu

39 papers A* 1A 10B 2C 1Misc 3Journal 12Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Mixed-precision numerics in scientific applications: survey and perspectives.
J. Supercomput.
Aditya Kashi, Hao Lu, Wesley Brewer, David Rogers, Michael A. Matheson, Mallikarjun Shankar, Feiyi Wang
2025 Misc conf
A Parallel Alternative for Energy-Efficient Neural Network Training and Inferencing.
HiPC
Sudip K. Seal, Maksudul Alam, Jorge Ramirez, Sajal Dash, Hao Lu
2025 — conf
Bridging the Gap: User-Centric Energy Monitoring for Policy-Driven Application Optimization in HPC Data Centers.
SC Workshops
Woong Shin, Karl W. Schulz, Arthur Francisco Lorenzon, Matthias Maiterth, Bruno Villasenor Alvarez, Jordà Polo, Aditya Kashi, Hao Lu, Nicholson Koukpaizan, Antigoni Georgiadou, Matthew R. Norman, Wael R. Elwasif, Michael A. Matheson, Feiyi Wang, Nicholas Frontiere, Sarp Oral, Thomas Beck, Bronson Messer
2025 J jnl
Compression-Induced Communication-Efficient Large Model Training and Inferencing.
CoRR
Sudip K. Seal, Maksudul Alam, Jorge Ramirez, Sajal Dash, Hao Lu
2025 A conf
DIMPLES: Distributed Influence Maximization for Pandemic pLanning on Exascale Systems.
ICS
Marco Minutoli, Reece Neff, Naw Safrin Sattar, Hao Lu, John Feo, Henning S. Mortveit, Anil Vullikanti, Dawen Xie, Mandy L. Wilson, Gregor von Laszewski, Parantapa Bhattacharya, S. M. Ferdous, Ananth Kalyanaraman, Michela Becchi, Madhav V. Marathe, Mahantesh Halappanavar
2025 A conf
Insights from Optimizing HPL Performance on Exascale Systems: A Comparative Analysis of Panel Factorization.
SC
Hao Lu, Michael A. Matheson, Noel Chalmers, Aditya Kashi, Nicholas Malaya, Feiyi Wang
2025 A conf
Scaling the memory wall using mixed-precision - HPG-MxP on an exascale machine.
SC
Aditya Kashi, Nicholson Koukpaizan, Hao Lu, Michael A. Matheson, Sarp Oral, Feiyi Wang
2025 J jnl
Scaling the memory wall using mixed-precision - HPG-MxP on an exascale machine.
CoRR
Aditya Kashi, Nicholson Koukpaizan, Hao Lu, Michael A. Matheson, Sarp Oral, Feiyi Wang
2024 — conf
BCSR on GPU: A Way Forward Extreme-scale Graph Processing on Accelerator-enabled Frontier Supercomputer.
SC Workshops
Naw Safrin Sattar, Hao Lu, Feiyi Wang
2024 — conf
Distributed Multi-GPU Community Detection on Exascale Computing Platforms.
IPDPS (Workshops)
Naw Safrin Sattar, Hao Lu, Feiyi Wang, Mahantesh Halappanavar
2024 — conf
Establish the basis for Breadth-First Search on Frontier System: XBFS on AMD GPUs.
SC Workshops
Haoshen Yang, Hao Lu, Naw Safrin Sattar, Hang Liu, Feiyi Wang
2024 — conf
Exploring the Frontiers of Energy Efficiency using Power Management at System Scale.
SC Workshops
Ahmad Maroof Karimi, Matthias Maiterth, Woong Shin, Naw Safrin Sattar, Hao Lu, Feiyi Wang
2024 J jnl
Exploring the Frontiers of Energy Efficiency using Power Management at System Scale.
CoRR
Ahmad Maroof Karimi, Matthias Maiterth, Woong Shin, Naw Safrin Sattar, Hao Lu, Feiyi Wang
2024 B conf
Exploring the Landscape of Distributed Graph Clustering on Leadership Supercomputers.
IEEE Big Data
Naw Safrin Sattar, Abigail Kapocius, Hao Lu, Mahantesh Halappanavar, Feiyi Wang
2024 J jnl
Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations.
CoRR
Aditya Kashi, Arka Daw, Muralikrishnan Gopalakrishnan Meena, Hao Lu
2024 J jnl
Mixed-precision numerics in scientific applications: survey and perspectives.
CoRR
Aditya Kashi, Hao Lu, Wesley Brewer, David Rogers, Michael A. Matheson, Mallikarjun Shankar, Feiyi Wang
2023 C conf
Optimizing Communication in 2D Grid-Based MPI Applications at Exascale.
EuroMPI
Hao Lu, Piyush Sao, Michael A. Matheson, Ramakrishnan Kannan, Feiyi Wang, Thomas E. Potok
2023 J jnl
TwoFold: Highly accurate structure and affinity prediction for protein-ligand complexes from sequences.
Int. J. High Perform. Comput. Appl.
Darren J. Hsu, Hao Lu, Aditya Kashi, Michael A. Matheson, John Gounley, Feiyi Wang, Wayne Joubert, Jens Glaser
2022 A conf
Climbing the Summit and Pushing the Frontier of Mixed Precision Benchmarks at Extreme Scale.
SC
Hao Lu, Michael A. Matheson, Vladyslav Oles, J. Austin Ellis, Wayne Joubert, Feiyi Wang
2022 A conf
Exaflops Biomedical Knowledge Graph Analytics.
SC
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
2021 — conf
Identification of Critical Infrastructure via PageRank.
IEEE BigData
Bill Kay, Hao Lu, Pravallika Devineni, Anika Tabassum, Supriya Chinthavali, Sangkeun Matt Lee
2021 A conf
Scalable All-pairs Shortest Paths for Huge Graphs on Multi-GPU Clusters.
HPDC
Piyush Sao, Hao Lu, Ramakrishnan Kannan, Vijay Thakkar, Richard W. Vuduc, Thomas E. Potok
2020 B conf
Performance Evaluation of Python Based Data Analytics Frameworks in Summit: Early Experiences.
SMC
Benjamín Hernández, Suhas Somnath, Junqi Yin, Hao Lu, Joe Eaton, Peter Entschev, John Kirkham, Zahra Ronaghi
2020 A conf
Scalable knowledge graph analytics at 136 petaflop/s.
SC
Ramakrishnan Kannan, Piyush Sao, Hao Lu, Drahomira Herrmannova, Vijay Thakkar, Robert M. Patton, Richard W. Vuduc, Thomas E. Potok
2020 — conf
Toward Quantifying Vulnerabilities in Critical Infrastructure Systems.
IEEE BigData
Pravallika Devineni, Bill Kay, Hao Lu, Anika Tabassum, Supriya Chinthavali, Sangkeun Matt Lee
2018 A conf
Distributed Louvain Algorithm for Graph Community Detection.
IPDPS
Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Hao Lu, Daniel G. Chavarría-Miranda, Arif Khan, Assefaw Hadish Gebremedhin
2018 A conf
Efficient, Parallel At-scale Correlation Analysis for Atom Probe Tomography on Hybrid Architectures.
IPDPS
Hao Lu, Sudip K. Seal, Gregory Muzyn, Wei Guo, Jonathan D. Poplawsky
2018 Misc conf
Scalable Proximity-Based Methods for Large-Scale Analysis of Atom Probe Data.
HiPC
Hao Lu, Sudip K. Seal, Jonathan D. Poplawsky
2017 A* conf
Accelerating Graph Community Detection with Approximate Updates via an Energy-Efficient NoC.
DAC
Karthi Duraisamy, Hao Lu, Partha Pratim Pande, Ananth Kalyanaraman
2017 J jnl
Algorithms for Balanced Graph Colorings with Applications in Parallel Computing.
IEEE Trans. Parallel Distributed Syst.
Hao Lu, Mahantesh Halappanavar, Daniel G. Chavarría-Miranda, Assefaw Hadish Gebremedhin, Ajay Panyala, Ananth Kalyanaraman
2017 — conf
Scalable static and dynamic community detection using Grappolo.
HPEC
Mahantesh Halappanavar, Hao Lu, Ananth Kalyanaraman, Antonino Tumeo
2017 — conf
Spherical Region Queries on Multicore Architectures.
IA3@SC
Hao Lu, Sudip K. Seal, Wei Guo, John Poplawsky
2016 J jnl
Fast Uncovering of Graph Communities on a Chip: Toward Scalable Community Detection on Multicore and Manycore Platforms.
Found. Trends Electron. Des. Autom.
Ananth Kalyanaraman, Mahantesh Halappanavar, Daniel G. Chavarría-Miranda, Hao Lu, Karthi Duraisamy, Partha Pratim Pande
2016 J jnl
High-Performance and Energy-Efficient Network-on-Chip Architectures for Graph Analytics.
ACM Trans. Embed. Comput. Syst.
Karthi Duraisamy, Hao Lu, Partha Pratim Pande, Ananth Kalyanaraman
2015 A conf
Balanced Coloring for Parallel Computing Applications.
IPDPS
Hao Lu, Mahantesh Halappanavar, Daniel G. Chavarría-Miranda, Assefaw Hadish Gebremedhin, Ananth Kalyanaraman
2015 Misc conf
High performance and energy efficient wireless NoC-enabled multicore architectures for graph analytics.
CASES
Karthi Duraisamy, Hao Lu, Partha Pratim Pande, Ananth Kalyanaraman
2015 J jnl
Parallel heuristics for scalable community detection.
Parallel Comput.
Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman
2014 — conf
Parallel Heuristics for Scalable Community Detection.
IPDPS Workshops
Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman, Sutanay Choudhury
2014 J jnl
Parallel Heuristics for Scalable Community Detection.
CoRR
Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman