2020
Alturkestani, T., Ltaief, H., & Keyes, D. (2020). Maximizing I/O Bandwidth for Reverse Time Migration on Heterogeneous Large-Scale Systems. Lecture Notes in Computer Science, 263–278. https://doi.org/10.1007/978-3-030-57675-2_17
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Cao, Q., Pei, Y., Akbudak, K., Mikhalev, A., Bosilca, G., Ltaief, H., … Dongarra, J. (2020). Extreme-Scale Task-Based Cholesky Factorization Toward Climate and Weather Prediction Applications. Proceedings of the Platform for Advanced Scientific Computing Conference. https://doi.org/10.1145/3394277.3401846
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Al-Harthi, N., Alomairy, R., Akbudak, K., Chen, R., Ltaief, H., Bagci, H., & Keyes, D. (2020). Solving Acoustic Boundary Integral Equations Using High Performance Tile Low-Rank LU Factorization. High Performance Computing, 209–229. https://doi.org/10.1007/978-3-030-50743-5_11
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Akbudak, K., Ltaief, H., Etienne, V., Abdelkhalak, R., Tonellot, T., & Keyes, D. (2020). Asynchronous computations for solving the acoustic wave propagation equation. The International Journal of High Performance Computing Applications, 34(4), 377–393. https://doi.org/10.1177/1094342020923027
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Alomairy, R., Ltaief, H., Abduljabbar, M., & Keyes, D. (2020). Abstraction Layer For Standardizing APIs of Task-Based Engines. IEEE Transactions on Parallel and Distributed Systems, 31(11), 2482–2495. https://doi.org/10.1109/tpds.2020.2992923
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Litvinenko, A., Logashenko, D., Tempone, R., Wittum, G., & Keyes, D. (2020). Solution of the 3D density-driven groundwater flow problem with uncertain porosity and permeability. GEM - International Journal on Geomathematics, 11(1). https://doi.org/10.1007/s13137-020-0147-1
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Abdulah, S., Ltaief, H., Sun, Y., Genton, M. G., & Keyes, D. E. (2019). Geostatistical Modeling and Prediction Using Mixed Precision Tile Cholesky Factorization. 2019 IEEE 26th International Conference on High Performance Computing, Data, and Analytics (HiPC). https://doi.org/10.1109/hipc.2019.00028
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Alturkestani, T., Tonellot, T., Ltaief, H., Abdelkhalak, R., Etienne, V., & Keyes, D. (2019). MLBS: Transparent Data Caching in Hierarchical Storage for Out-of-Core HPC Applications. 2019 IEEE 26th International Conference on High Performance Computing, Data, and Analytics (HiPC). https://doi.org/10.1109/hipc.2019.00046
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Luo, L., Liu, L., Cai, X.-C., & Keyes, D. E. (2020). Fully implicit hybrid two-level domain decomposition algorithms for two-phase flows in porous media on 3D unstructured grids. Journal of Computational Physics, 409, 109312. https://doi.org/10.1016/j.jcp.2020.109312
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Keyes, D. E., Ltaief, H., & Turkiyyah, G. (2020). Hierarchical algorithms on hierarchical architectures. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 378(2166), 20190055. https://doi.org/10.1098/rsta.2019.0055
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Cao, Q., Pei, Y., Herauldt, T., Akbudak, K., Mikhalev, A., Bosilca, G., … Dongarra, J. (2019). Performance Analysis of Tile Low-Rank Cholesky Factorization Using PaRSEC Instrumentation Tools. 2019 IEEE/ACM International Workshop on Programming and Performance Visualization Tools (ProTools). https://doi.org/10.1109/protools49597.2019.00009
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2019
Doucet, N., Ltaief, H., Gratadour, D., & Keyes, D. (2019). Mixed-Precision Tomographic Reconstructor Computations on Hardware Accelerators. 2019 IEEE/ACM 9th Workshop on Irregular Applications: Architectures and Algorithms (IA3). https://doi.org/10.1109/ia349570.2019.00011
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Sukkari, D., Ltaief, H., Keyes, D., & Faverge, M. (2019). Leveraging Task-Based Polar Decomposition Using PARSEC on Massively Parallel Systems. 2019 IEEE International Conference on Cluster Computing (CLUSTER). https://doi.org/10.1109/cluster.2019.8891024
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AlOnazi, A., Ltaief, H., Keyes, D., Said, I., & Thibault, S. (2019). Asynchronous Task-Based Execution of the Reverse Time Migration for the Oil and Gas Industry. 2019 IEEE International Conference on Cluster Computing (CLUSTER). https://doi.org/10.1109/cluster.2019.8891054
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Litvinenko, A., Kriemann, R., Genton, M. G., Sun, Y., & Keyes, D. E. (2019). HLIBCov: Parallel hierarchical matrix approximation of large covariance matrices and likelihoods with applications in parameter identification. MethodsX, 7, 100600. https://doi.org/10.1016/j.mex.2019.07.001
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Boukaram, W., Turkiyyah, G., & Keyes, D. (2019). Randomized GPU Algorithms for the Construction of Hierarchical Matrices from Matrix-Vector Operations. SIAM Journal on Scientific Computing, 41(4), C339–C366. https://doi.org/10.1137/18m1210101
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Ltaief, H., Sukkari, D., Esposito, A., Nakatsukasa, Y., & Keyes, D. (2019). Massively Parallel Polar Decomposition on Distributed-memory Systems. ACM Transactions on Parallel Computing, 6(1), 1–15. https://doi.org/10.1145/3328723
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DOI
10.1145/3328723Charara, A., Keyes, D., & Ltaief, H. (2019). Batched Triangular Dense Linear Algebra Kernels for Very Small Matrix Sizes on GPUs. ACM Transactions on Mathematical Software, 45(2), 1–28. https://doi.org/10.1145/3267101
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DOI
10.1145/3267101Sukkari, D., Ltaief, H., Esposito, A., & Keyes, D. (2019). A QDWH-based SVD Software Framework on Distributed-memory Manycore Systems. ACM Transactions on Mathematical Software, 45(2), 1–21. https://doi.org/10.1145/3309548
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DOI
10.1145/3309548Mortensen, M., Dalcin, L., & Keyes, D. (2019). mpi4py-fft: Parallel Fast Fourier Transforms with MPI for Python. Journal of Open Source Software, 4(36), 1340. https://doi.org/10.21105/joss.01340
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Abdelkhalak, R., Akbudak, K., Etienne, V., Ltaief, H., Tonellot, T., & Keyes, D. (2019). Application of High Performance Asynchronous Acoustic Wave Equation Stencil Solver into a Land Survey. SPE Middle East Oil and Gas Show and Conference. https://doi.org/10.2118/194722-ms
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Dalcin, L., Mortensen, M., & Keyes, D. E. (2019). Fast parallel multidimensional FFT using advanced MPI. Journal of Parallel and Distributed Computing, 128, 137–150. https://doi.org/10.1016/j.jpdc.2019.02.006
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Boukaram, W., Turkiyyah, G., & Keyes, D. (2019). Hierarchical Matrix Operations on GPUs. ACM Transactions on Mathematical Software, 45(1), 1–28. https://doi.org/10.1145/3232850
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DOI
10.1145/32328502018
AlOnazi, A., Rogowski, M., Al-Zawawi, A., & Keyes, D. (2018). Performance Assessment of Hybrid Parallelism for Large-Scale Reservoir Simulation on Multi- and Many-core Architectures. 2018 IEEE High Performance Extreme Computing Conference (HPEC). https://doi.org/10.1109/hpec.2018.8547565
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Abdulah, S., Ltaief, H., Sun, Y., Genton, M. G., & Keyes, D. E. (2018). Parallel Approximation of the Maximum Likelihood Estimation for the Prediction of Large-Scale Geostatistics Simulations. 2018 IEEE International Conference on Cluster Computing (CLUSTER). https://doi.org/10.1109/cluster.2018.00089
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Ltaief, H., Charara, A., Gratadour, D., Doucet, N., Hadri, B., Gendron, E., … Keyes, D. (2018). Real-Time Massively Distributed Multi-object Adaptive Optics Simulations for the European Extremely Large Telescope. 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS). https://doi.org/10.1109/ipdps.2018.00018
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Akbudak, K., Ltaief, H., Mikhalev, A., Charara, A., Esposito, A., & Keyes, D. (2018). Exploiting Data Sparsity for Large-Scale Matrix Computations. Lecture Notes in Computer Science, 721–734. https://doi.org/10.1007/978-3-319-96983-1_51
Charara, A., Keyes, D., & Ltaief, H. (2018). Tile Low-Rank GEMM Using Batched Operations on GPUs. Lecture Notes in Computer Science, 811–825. https://doi.org/10.1007/978-3-319-96983-1_57
Cao, J., Genton, M. G., Keyes, D. E., & Turkiyyah, G. M. (2018). Hierarchical-block conditioning approximations for high-dimensional multivariate normal probabilities. Statistics and Computing, 29(3), 585–598. https://doi.org/10.1007/s11222-018-9825-3
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Doucet, N., Gratadour, D., Ltaief, H., Kriemann, R., Gendron, E., & Keyes, D. (2018). Scalable soft real-time supervisor for tomographic AO. Adaptive Optics Systems VI. https://doi.org/10.1117/12.2313273
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Ltaief, H., Sukkari, D., Guyon, O., & Keyes, D. (2018). Extreme Computing for Extreme Adaptive Optics. Proceedings of the Platform for Advanced Scientific Computing Conference. https://doi.org/10.1145/3218176.3218225
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Abdulah, S., Ltaief, H., Sun, Y., Genton, M. G., & Keyes, D. E. (2018). ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems. IEEE Transactions on Parallel and Distributed Systems, 29(12), 2771–2784. https://doi.org/10.1109/tpds.2018.2850749
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Genton, M. G., Keyes, D. E., & Turkiyyah, G. (2018). Hierarchical Decompositions for the Computation of High-Dimensional Multivariate Normal Probabilities. Journal of Computational and Graphical Statistics, 27(2), 268–277. https://doi.org/10.1080/10618600.2017.1375936
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Liu, L., Keyes, D. E., & Krause, R. (2018). A Note on Adaptive Nonlinear Preconditioning Techniques. SIAM Journal on Scientific Computing, 40(2), A1171–A1186. https://doi.org/10.1137/17m1128502
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Al Farhan, M. A., & Keyes, D. E. (2018). Optimizations of Unstructured Aerodynamics Computations for Many-core Architectures. IEEE Transactions on Parallel and Distributed Systems, 29(10), 2317–2332. https://doi.org/10.1109/tpds.2018.2826533
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2017
Malas, T. M., Hager, G., Ltaief, H., & Keyes, D. E. (2018). Multidimensional Intratile Parallelization for Memory-Starved Stencil Computations. ACM Transactions on Parallel Computing, 4(3), 1–32. https://doi.org/10.1145/3155290
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DOI
10.1145/3155290Chávez, G., Turkiyyah, G., Zampini, S., Ltaief, H., & Keyes, D. (2018). Accelerated Cyclic Reduction: A distributed-memory fast solver for structured linear systems. Parallel Computing, 74, 65–83. https://doi.org/10.1016/j.parco.2017.12.001
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Chávez, G., Turkiyyah, G., Zampini, S., & Keyes, D. (2018). Parallel accelerated cyclic reduction preconditioner for three-dimensional elliptic PDEs with variable coefficients. Journal of Computational and Applied Mathematics, 344, 760–781. https://doi.org/10.1016/j.cam.2017.11.035
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Peng, C., Zhang, Z., Wong, K.-C., Zhang, X., & Keyes, D. E. (2017). A scalable community detection algorithm for large graphs using stochastic block models. Intelligent Data Analysis, 21(6), 1463–1485. https://doi.org/10.3233/IDA-163156
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Ibeid, H., Yokota, R., Pestana, J., & Keyes, D. (2017). Fast multipole preconditioners for sparse matrices arising from elliptic equations. Computing and Visualization in Science, 18(6), 213–229. https://doi.org/10.1007/s00791-017-0287-5
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Gao, L., Ketcheson, D., & Keyes, D. (2017). On long-time instabilities in staggered finite difference simulations of the seismic acoustic wave equations on discontinuous grids. Geophysical Journal International, 212(2), 1098–1110. https://doi.org/10.1093/gji/ggx470
Handle
Yokota, R., Ibeid, H., & Keyes, D. (2017). Fast Multipole Method as a Matrix-Free Hierarchical Low-Rank Approximation. Eigenvalue Problems: Algorithms, Software and Applications in Petascale Computing, 267–286. https://doi.org/10.1007/978-3-319-62426-6_17
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Sukkari, D., Ltaief, H., Faverge, M., & Keyes, D. (2018). Asynchronous Task-Based Polar Decomposition on Single Node Manycore Architectures. IEEE Transactions on Parallel and Distributed Systems, 29(2), 312–323. https://doi.org/10.1109/tpds.2017.2755655
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Boukaram, W. H., Turkiyyah, G., Ltaief, H., & Keyes, D. E. (2018). Batched QR and SVD algorithms on GPUs with applications in hierarchical matrix compression. Parallel Computing, 74, 19–33. https://doi.org/10.1016/j.parco.2017.09.001
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Abduljabbar, M., Al Farhan, M., Yokota, R., & Keyes, D. (2017). Performance Evaluation of Computation and Communication Kernels of the Fast Multipole Method on Intel Manycore Architecture. Euro-Par 2017: Parallel Processing, 553–564. https://doi.org/10.1007/978-3-319-64203-1_40
Handle
AlOnazi, A., Markomanolis, G. S., & Keyes, D. (2017). Asynchronous Task-Based Parallelization of Algebraic Multigrid. Proceedings of the Platform for Advanced Scientific Computing Conference on - PASC ’17. https://doi.org/10.1145/3093172.3093230
Handle
Charara, A., Keyes, D., & Ltaief, H. (2017). A framework for dense triangular matrix kernels on various manycore architectures. Concurrency and Computation: Practice and Experience, 29(15), e4187. https://doi.org/10.1002/cpe.4187
Handle
DOI
10.1002/cpe.4187Abduljabbar, M., Markomanolis, G. S., Ibeid, H., Yokota, R., & Keyes, D. (2017). Communication Reducing Algorithms for Distributed Hierarchical N-Body Problems with Boundary Distributions. High Performance Computing, 79–96. https://doi.org/10.1007/978-3-319-58667-0_5
Handle
Akbudak, K., Ltaief, H., Mikhalev, A., & Keyes, D. (2017). Tile Low Rank Cholesky Factorization for Climate/Weather Modeling Applications on Manycore Architectures. High Performance Computing, 22–40. https://doi.org/10.1007/978-3-319-58667-0_2
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Chávez, G., Turkiyyah, G., & Keyes, D. E. (2017). A Direct Elliptic Solver Based on Hierarchically Low-Rank Schur Complements. Domain Decomposition Methods in Science and Engineering XXIII, 135–143. https://doi.org/10.1007/978-3-319-52389-7_12
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Liu, L., Zhang, W., & Keyes, D. E. (2017). Nonlinear Multiplicative Schwarz Preconditioning in Natural Convection Cavity Flow. Domain Decomposition Methods in Science and Engineering XXIII, 227–235. https://doi.org/10.1007/978-3-319-52389-7_22
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2016
Chen, Y., Keyes, D., Law, K. J. H., & Ltaief, H. (2016). Accelerated Dimension-Independent Adaptive Metropolis. SIAM Journal on Scientific Computing, 38(5), S539–S565. https://doi.org/10.1137/15m1026432
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Liu, L., & Keyes, D. E. (2016). Convergence Analysis for the Multiplicative Schwarz Preconditioned Inexact Newton Algorithm. SIAM Journal on Numerical Analysis, 54(5), 3145–3166. https://doi.org/10.1137/15m1028182
Handle
Litvinenko, A., Genton, M., Sun, Y., & Keyes, D. (2016). ℋ-matrix techniques for approximating large covariance matrices and estimating its parameters. PAMM, 16(1), 731–732. https://doi.org/10.1002/pamm.201610354
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Sukkari, D., Ltaief, H., & Keyes, D. (2016). A High Performance QDWH-SVD Solver Using Hardware Accelerators. ACM Transactions on Mathematical Software, 43(1), 1–25. https://doi.org/10.1145/2894747
Handle
DOI
10.1145/2894747Charara, A., Ltaief, H., & Keyes, D. (2016). Redesigning Triangular Dense Matrix Computations on GPUs. Lecture Notes in Computer Science, 477–489. https://doi.org/10.1007/978-3-319-43659-3_35
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Sukkari, D., Ltaief, H., & Keyes, D. (2016). High Performance Polar Decomposition on Distributed Memory Systems. Lecture Notes in Computer Science, 605–616. https://doi.org/10.1007/978-3-319-43659-3_44
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Ibeid, H., Yokota, R., & Keyes, D. (2016). A performance model for the communication in fast multipole methods on high-performance computing platforms. The International Journal of High Performance Computing Applications, 30(4), 423–437. https://doi.org/10.1177/1094342016634819
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Malas, T. M., Hornich, J., Hager, G., Ltaief, H., Pflaum, C., & Keyes, D. E. (2016). Optimization of an Electromagnetics Code with Multicore Wavefront Diamond Blocking and Multi-dimensional Intra-Tile Parallelization. 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS). https://doi.org/10.1109/ipdps.2016.87
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Bao, K., Yan, M., Allen, R., Salama, A., Lu, L., Jordan, K. E., … Keyes, D. (2016). High-Performance Modeling of Carbon Dioxide Sequestration by Coupling Reservoir Simulation and Molecular Dynamics. SPE Journal, 21(03), 0853–0863. https://doi.org/10.2118/163621-pa
Handle
Hutchinson, M., Heinecke, A., Pabst, H., Henry, G., Parsani, M., & Keyes, D. (2016). Efficiency of High Order Spectral Element Methods on Petascale Architectures. High Performance Computing, 449–466. https://doi.org/10.1007/978-3-319-41321-1_23
Handle
Al Farhan, M. A., Kaushik, D. K., & Keyes, D. E. (2016). Unstructured computational aerodynamics on many integrated core architecture. Parallel Computing, 59, 97–118. https://doi.org/10.1016/j.parco.2016.06.001
Handle
Zampini, S., & Keyes, D. E. (2016). On the Robustness and Prospects of Adaptive BDDC Methods for Finite Element Discretizations of Elliptic PDEs with High-Contrast Coefficients. Proceedings of the Platform for Advanced Scientific Computing Conference on - PASC ’16. https://doi.org/10.1145/2929908.2929919
Handle
Arfaoui, M.-A., Ltaief, H., Rezki, Z., Alouini, M.-S., & Keyes, D. (2016). Efficient Sphere Detector Algorithm for Massive MIMO Using GPU Hardware Accelerator. Procedia Computer Science, 80, 2169–2180. https://doi.org/10.1016/j.procs.2016.05.377
Handle
Abdelfattah, A., Ltaief, H., Keyes, D., & Dongarra, J. (2016). Performance optimization of Sparse Matrix-Vector Multiplication for multi-component PDE-based applications using GPUs. Concurrency and Computation: Practice and Experience, 28(12), 3447–3465. https://doi.org/10.1002/cpe.3874
Handle
DOI
10.1002/cpe.3874Abdelfattah, A., Keyes, D., & Ltaief, H. (2016). KBLAS. ACM Transactions on Mathematical Software, 42(3), 1–31. https://doi.org/10.1145/2818311
Handle
DOI
10.1145/28183112015
Malas, T., Hager, G., Ltaief, H., & Keyes, D. (2015). Towards Fast Reverse Time Migration Kernels using Multi-threaded Wavefront Diamond Tiling. Second EAGE Workshop on High Performance Computing for Upstream. https://doi.org/10.3997/2214-4609.201414025
Handle
Zampini, S., Widlund, O. B., & Keyes, D. E. (2015). Scalable and Robust BDDC Preconditioners for Reservoir and Electromagnetics Modeling. Second EAGE Workshop on High Performance Computing for Upstream. https://doi.org/10.3997/2214-4609.201414030
Handle
Abdelfattah, A., Ltaief, H., & Keyes, D. (2015). High Performance Multi-GPU SpMV for Multi-component PDE-Based Applications. Euro-Par 2015: Parallel Processing, 601–612. https://doi.org/10.1007/978-3-662-48096-0_46
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Mudigere, D., Sridharan, S., Deshpande, A., Park, J., Heinecke, A., Smelyanskiy, M., … Keyes, D. (2015). Exploring Shared-Memory Optimizations for an Unstructured Mesh CFD Application on Modern Parallel Systems. 2015 IEEE International Parallel and Distributed Processing Symposium. https://doi.org/10.1109/ipdps.2015.114
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Al-Omairy, R., Miranda, G., Ltaief, H., Badia, R., Martorell, X., Labarta, J., & Keyes, D. (2015). Dense Matrix Computations on NUMA Architectures with Distance-Aware Work Stealing. (2015). Supercomputing Frontiers and Innovations, 2(1). https://doi.org/10.14529/jsfi150103
Malas, T., Hager, G., Ltaief, H., Stengel, H., Wellein, G., & Keyes, D. (2015). Multicore-Optimized Wavefront Diamond Blocking for Optimizing Stencil Updates. SIAM Journal on Scientific Computing, 37(4), C439–C464. https://doi.org/10.1137/140991133
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Liu, L., & Keyes, D. E. (2015). Field-Split Preconditioned Inexact Newton Algorithms. SIAM Journal on Scientific Computing, 37(3), A1388–A1409. https://doi.org/10.1137/140970379
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Charara, A., Ltaief, H., Gratadour, D., Keyes, D., Sevin, A., Abdelfattah, A., … Vidal, F. (2014). Pipelining Computational Stages of the Tomographic Reconstructor for Multi-Object Adaptive Optics on a Multi-GPU System. SC14: International Conference for High Performance Computing, Networking, Storage and Analysis. https://doi.org/10.1109/sc.2014.27
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Zheng, X., Yang, C., Cai, X.-C., & Keyes, D. (2015). A parallel domain decomposition-based implicit method for the Cahn–Hilliard–Cook phase-field equation in 3D. Journal of Computational Physics, 285, 55–70. https://doi.org/10.1016/j.jcp.2015.01.016
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2014
Yan, Y., & Keyes, D. E. (2015). Smooth and robust solutions for Dirichlet boundary control of fluid–solid conjugate heat transfer problems. Journal of Computational Physics, 281, 759–786. https://doi.org/10.1016/j.jcp.2014.10.049
Handle
Abdelfattah, A., Gendron, E., Gratadour, D., Keyes, D., Ltaief, H., Sevin, A., & Vidal, F. (2014). High Performance Pseudo-analytical Simulation of Multi-Object Adaptive Optics over Multi-GPU Systems. Euro-Par 2014 Parallel Processing, 704–715. https://doi.org/10.1007/978-3-319-09873-9_59
Handle
Gendron, É., Charara, A., Abdelfattah, A., Gratadour, D., Keyes, D., Ltaief, H., … Rousset, G. (2014). A novel fast and accurate pseudo-analytical simulation approach for MOAO. Adaptive Optics Systems IV. https://doi.org/10.1117/12.2055911
Handle
Yang, C., Cai, X.-C., Keyes, D. E., & Pernice, M. (2014). NKS Method for the Implicit Solution of a Coupled Allen-Cahn/Cahn-Hilliard System. Domain Decomposition Methods in Science and Engineering XXI, 819–827. https://doi.org/10.1007/978-3-319-05789-7_79
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2013
Liu, L., Keyes, D. E., & Sun, S. (2013). Fully Implicit Two-phase Reservoir Simulation With the Additive Schwarz Preconditioned Inexact Newton Method. SPE Reservoir Characterization and Simulation Conference and Exhibition. https://doi.org/10.2118/166062-ms
Handle
Downes, T. P., Roller, S., Seitsonen, A. P., Valcke, S., Keyes, D., Sawley, M.-C., … Shalf, J. (2013). Topic 14+16: High-Performance and Scientific Applications and Extreme-Scale Computing. Lecture Notes in Computer Science, 737–738. https://doi.org/10.1007/978-3-642-40047-6_73
Handle
Abdelfattah, A., Dongarra, J., Keyes, D., & Ltaief, H. (2013). Optimizing Memory-Bound SYMV Kernel on GPU Hardware Accelerators. High Performance Computing for Computational Science - VECPAR 2012, 72–79. https://doi.org/10.1007/978-3-642-38718-0_10
Handle
Abdelfattah, A., Keyes, D., & Ltaief, H. (2013). Systematic Approach in Optimizing Numerical Memory-Bound Kernels on GPU. Euro-Par 2012: Parallel Processing Workshops, 207–216. https://doi.org/10.1007/978-3-642-36949-0_23
Handle
Keyes, D. E., McInnes, L. C., Woodward, C., Gropp, W., Myra, E., Pernice, M., … Wohlmuth, B. (2013). Multiphysics simulations. The International Journal of High Performance Computing Applications, 27(1), 4–83. https://doi.org/10.1177/1094342012468181
Handle
Peng, C., Wong, K.-C., Rockwood, A., Zhang, X., Jiang, J., & Keyes, D. (2012). Multiplicative Algorithms for Constrained Non-negative Matrix Factorization. 2012 IEEE 12th International Conference on Data Mining. https://doi.org/10.1109/icdm.2012.106
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Yuan, X., Li, X. S., Yamazaki, I., Jardin, S. C., Koniges, A. E., & Keyes, D. E. (2013). Application of PDSLin to the magnetic reconnection problem. Computational Science & Discovery, 6(1), 014002. https://doi.org/10.1088/1749-4699/6/1/014002
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2012
He, Y., & Keyes, D. E. (2012). Large-scale parameter extraction in electrocardiology models through Born approximation. Inverse Problems, 29(1), 015001. https://doi.org/10.1088/0266-5611/29/1/015001
Handle
Malas, T., Ahmadia, A. J., Brown, J., Gunnels, J. A., & Keyes, D. E. (2012). Optimizing the performance of streaming numerical kernels on the IBM Blue Gene/P PowerPC 450 processor. The International Journal of High Performance Computing Applications, 27(2), 193–209. https://doi.org/10.1177/1094342012444795
Handle
Yuan, X., Jardin, S. C., & Keyes, D. E. (2012). Numerical simulation of four-field extended magnetohydrodynamics in dynamically adaptive curvilinear coordinates via Newton–Krylov–Schwarz. Journal of Computational Physics, 231(17), 5822–5853. https://doi.org/10.1016/j.jcp.2012.05.009
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2011
Kaushik, D., Keyes, D., Balay, S., & Smith, B. (2011). Hybrid Programming Model for Implicit PDE Simulations on Multicore Architectures. Lecture Notes in Computer Science, 12–21. https://doi.org/10.1007/978-3-642-21487-5_2
Handle
Keyes, D. E. (2011). Exaflop/s: The why and the how. Comptes Rendus Mécanique, 339(2-3), 70–77. https://doi.org/10.1016/j.crme.2010.11.002
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2010
Kaushik, D., Keyes, D., Allsopp, N., Balay, S., Smith, B., Simos, T. E., … Tsitouras, C. (2010). Hierarchical Programming Models for Exascale Computing—Potential and Challenges. https://doi.org/10.1063/1.3498226
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Bhowmick, S., Eijkhout, V., Freund, Y., Fuentes, E., & Keyes, D. (2010). Application of Alternating Decision Trees in Selecting Sparse Linear Solvers. Software Automatic Tuning, 153–173. https://doi.org/10.1007/978-1-4419-6935-4_10
Handle
Yuan, X., Jardin, S. C., & Keyes, D. E. (2011). Moving grids for magnetic reconnection via Newton–Krylov methods. Computer Physics Communications, 182(1), 173–176. https://doi.org/10.1016/j.cpc.2010.06.009