| 2026 | ICS | Cheetah: Optimizing Execution Pipelines for Matrix-Free Finite Element Operators on GPUs. | Jie Ren, Hatem Ltaief, Stefano Zampini, David E. Keyes |
| 2024 | SC | Boosting Earth System Model Outputs And Saving PetaBytes in Their Storage Using Exascale Climate Emulators. | Sameh Abdulah, Allison H. Baker, George Bosilca, Qinglei Cao, Stefano Castruccio, Marc G. Genton, David E. Keyes, Zubair Khalid, Hatem Ltaief, Yan Song, Georgiy L. Stenchikov, Ying Sun |
| 2024 | SC | Toward Capturing Genetic Epistasis From Multivariate Genome-Wide Association Studies Using Mixed-Precision Kernel Ridge Regression. | Hatem Ltaief, Rabab Alomairy, Qinglei Cao, Jie Ren, Lotfi Slim, Thorsten Kurth, Benedikt Dorschner, Salim Bougouffa, Rached Abdelkhalak, David E. Keyes |
| 2023 | CLUSTER | Reducing Data Motion and Energy Consumption of Geospatial Modeling Applications Using Automated Precision Conversion. | Qinglei Cao, Sameh Abdulah, Hatem Ltaief, Marc G. Genton, David E. Keyes, George Bosilca |
| 2023 | GLOBECOM | Efficient GPU-based Large MIMO Detection Algorithm for Next-Generation Communication Systems. | Adel Dabah, Zouheir Rezki, Hatem Ltaief, David E. Keyes, Mohamed-Slim Alouini |
| 2023 | SC | High-Performance SVD Partial Spectrum Computation. | David E. Keyes, Hatem Ltaief, Yuji Nakatsukasa, Dalal Sukkari |
| 2023 | SC | shmem4py: High-Performance One-Sided Communication for Python Applications. | Marcin Rogowski, Jeff R. Hammond, David E. Keyes, Lisandro Dalcn |
| 2022 | EuroPar | High-Performance Spatial Data Compression for Scientific Applications. | Ronald Kriemann, Hatem Ltaief, Minh Bau Luong, Francisco E. Hernndez Prez, Hong G. Im, David E. Keyes |
| 2022 | SC | Reshaping Geostatistical Modeling and Prediction for Extreme-Scale Environmental Applications. | Qinglei Cao, Sameh Abdulah, Rabab Alomairy, Yu Pei, Pratik Nag, George Bosilca, Jack J. Dongarra, Marc G. Genton, David E. Keyes, Hatem Ltaief, Ying Sun |
| 2021 | EuroPar | Outsmarting the Atmospheric Turbulence for Ground-Based Telescopes Using the Stochastic Levenberg-Marquardt Method. | Yuxi Hong, El Houcine Bergou, Nicolas Doucet, Hao Zhang, Jesse Cranney, Hatem Ltaief, Damien Gratadour, Franois Rigaut, David E. Keyes |
| 2021 | SC | Meeting the real-time challenges of ground-based telescopes using low-rank matrix computations. | Hatem Ltaief, Jesse Cranney, Damien Gratadour, Yuxi Hong, Laurent Gatineau, David E. Keyes |
| 2020 | EuroPar | Maximizing I/O Bandwidth for Reverse Time Migration on Heterogeneous Large-Scale Systems. | Tariq Alturkestani, Hatem Ltaief, David E. Keyes |
| 2019 | CLUSTER | Asynchronous Task-Based Execution of the Reverse Time Migration for the Oil and Gas Industry. | Amani AlOnazi, Hatem Ltaief, David E. Keyes, Issam Said, Samuel Thibault |
| 2019 | CLUSTER | Leveraging Task-Based Polar Decomposition Using PARSEC on Massively Parallel Systems. | Dalal Sukkari, Hatem Ltaief, David E. Keyes, Mathieu Faverge |
| 2019 | HiPC | Geostatistical Modeling and Prediction Using Mixed Precision Tile Cholesky Factorization. | Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes |
| 2019 | HiPC | MLBS: Transparent Data Caching in Hierarchical Storage for Out-of-Core HPC Applications. | Tariq Alturkestani, Thierry Tonellot, Hatem Ltaief, Rached Abdelkhalak, tienne Vincent, David E. Keyes |
| 2019 | SC | Performance Analysis of Tile Low-Rank Cholesky Factorization Using PaRSEC Instrumentation Tools. | Qinglei Cao, Yu Pei, Thomas Hrault, Kadir Akbudak, Aleksandr Mikhalev, George Bosilca, Hatem Ltaief, David E. Keyes, Jack J. Dongarra |
| 2019 | SC | Mixed-Precision Tomographic Reconstructor Computations on Hardware Accelerators. | Nicolas Doucet, Hatem Ltaief, Damien Gratadour, David E. Keyes |
| 2018 | CLUSTER | Parallel Approximation of the Maximum Likelihood Estimation for the Prediction of Large-Scale Geostatistics Simulations. | Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes |
| 2018 | EuroPar | Exploiting Data Sparsity for Large-Scale Matrix Computations. | Kadir Akbudak, Hatem Ltaief, Aleksandr Mikhalev, Ali Charara, Aniello Esposito, David E. Keyes |
| 2018 | EuroPar | Tile Low-Rank GEMM Using Batched Operations on GPUs. | Ali Charara, David E. Keyes, Hatem Ltaief |
| 2017 | EuroPar | Performance Evaluation of Computation and Communication Kernels of the Fast Multipole Method on Intel Manycore Architecture. | Mustafa Abdul Jabbar, Mohammed A. Al Farhan, Rio Yokota, David E. Keyes |
| 2016 | EuroPar | Redesigning Triangular Dense Matrix Computations on GPUs. | Ali Charara, Hatem Ltaief, David E. Keyes |
| 2016 | EuroPar | High Performance Polar Decomposition on Distributed Memory Systems. | Dalal Sukkari, Hatem Ltaief, David E. Keyes |
| 2016 | ICCS | Efficient Sphere Detector Algorithm for Massive MIMO using GPU Hardware Accelerator. | Mohamed Amine Arfaoui, Hatem Ltaief, Zouheir Rezki, Mohamed-Slim Alouini, David E. Keyes |
| 2015 | EuroPar | High Performance Multi-GPU SpMV for Multi-component PDE-Based Applications. | Ahmad Abdelfattah, Hatem Ltaief, David E. Keyes |
| 2015 | IJCAI | A Scalable Community Detection Algorithm for Large Graphs Using Stochastic Block Models. | Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes |
| 2015 | ICS | Composing Algorithmic Skeletons to Express High-Performance Scientific Applications. | Mani Zandifar, Mustafa Abdul Jabbar, Alireza Majidi, David E. Keyes, Nancy M. Amato, Lawrence Rauchwerger |
| 2014 | EuroPar | High Performance Pseudo-analytical Simulation of Multi-Object Adaptive Optics over Multi-GPU Systems. | Ahmad Abdelfattah, Eric Gendron, Damien Gratadour, David E. Keyes, Hatem Ltaief, Arnaud Sevin, Fabrice Vidal |
| 2014 | SC | Pipelining Computational Stages of the Tomographic Reconstructor for Multi-Object Adaptive Optics on a Multi-GPU System. | Ali Charara, Hatem Ltaief, Damien Gratadour, David E. Keyes, Arnaud Sevin, Ahmad Abdelfattah, Eric Gendron, Carine Morel, Fabrice Vidal |
| 2013 | EuroPar | Topic 14+16: High-Performance and Scientific Applications and Extreme-Scale Computing - (Introduction). | Turlough P. Downes, Sabine Roller, Ari P. Seitsonen, Sophie Valcke, David E. Keyes, Marie-Christine Sawley, Thomas C. Schulthess, John Shalf |
| 2012 | EuroPar | Systematic Approach in Optimizing Numerical Memory-Bound Kernels on GPU. | Ahmad Abdelfattah, David E. Keyes, Hatem Ltaief |
| 2012 | ICDM | Multiplicative Algorithms for Constrained Non-negative Matrix Factorization. | Chengbin Peng, Ka-Chun Wong, Alyn Rockwood, Xiangliang Zhang, Jinling Jiang, David E. Keyes |
| 2008 | ICS | Petaflop/s, seriously. | David E. Keyes |
| 2007 | HiPC | Petaflop/s, Seriously. | David E. Keyes |
| 2006 | SC | M06 - Issues for the future of supercomputing: impact of Moore's law and architecture on application performance. | Erik DeBenedictis, David E. Keyes, Peter M. Kogge |
| 2006 | SC | Multi-core issues - Multi-Core for HPC: breakthrough or breakdown? | Thomas L. Sterling, Peter M. Kogge, William J. Dally, Steve Scott, William Gropp, David E. Keyes, Peter H. Beckman |
| 2004 | EuroPar | Topic 11: Numerical Algorithms. | Emilio L. Zapata, Oscar G. Plata, David E. Keyes, Pasqua D'Ambra |
| 2000 | EuroPar | Four Horizons for Enhancing the Performance of Parallel Simulations Based on Partial Differential Equations. | David E. Keyes |
| 2000 | HiPC | Analyzing the Parallel Scalability of an Implicit Unstructured Mesh CFD Code. | William Gropp, Dinesh K. Kaushik, Barry F. Smith, David E. Keyes |
| 2000 | SC | Performance Modeling and Tuning of an Unstructured Mesh CFD Application. | William Gropp, Dinesh K. Kaushik, David E. Keyes, Barry F. Smith |
| 1999 | SC | Achieving High Sustained Performance in an Unstructured Mesh CFD Application. | W. K. Anderson, William D. Gropp, Dinesh K. Kaushik, David E. Keyes, Barry F. Smith |
| 1996 | EuroPar | Evaluating the Hyperbolic Model on a Variety of Architectures. | Ion Stoica, Florin Sultan, David E. Keyes |