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Performance Portability of Molecular Docking Miniapp On Leadership Computing Platforms., , , , и . P3HPC@SC, стр. 36-44. IEEE, (2020)Portability for GPU-accelerated molecular docking applications for cloud and HPC: can portable compiler directives provide performance across all platforms?, , и . CCGRID, стр. 975-984. IEEE, (2022)GPU-Accelerated Drug Discovery with Docking on the Summit Supercomputer: Porting, Optimization, and Application to COVID-19 Research., , , , , , , , , и 5 other автор(ы). BCB, стр. 43:1-43:10. ACM, (2020)Modeling protein structures from predicted contacts with modern molecular dynamics potentials: accuracy, sensitivity, and refinement., , , , , , и . BCB, стр. 21:1-21:10. ACM, (2021)CPU-GPU Tuning for Modern Scientific Applications using Node-Level Heterogeneity., и . HiPC, стр. 179-183. IEEE, (2023)Performance Porting the ExaStar Multi-Physics App Thornado On Heterogeneous Systems - A Fortran-OpenMP Code-Base Evaluation., , , и . IWOMP, том 15195 из Lecture Notes in Computer Science, стр. 16-30. Springer, (2024)OpenMP's Asynchronous Offloading for All-pairs Shortest Path Graph Algorithms on GPUs., и . HiPar@SC, стр. 1-11. IEEE, (2022)OpenMDlr: parallel, open-source tools for general protein structure modeling and refinement from pairwise distances., , , , , , и . Bioinform., 38 (12): 3297-3298 (2022)Automatic biosystems comparison using semantic and name similarity., , и . BCB, стр. 790-796. ACM, (2014)High-throughput virtual laboratory for drug discovery using massive datasets., , , , , , , , , и 2 other автор(ы). Int. J. High Perform. Comput. Appl., (2021)