Mathialakan Thavappiragasam

20 papers A 1B 1Misc 1Journal 6Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	AI and HPC Applications on Leadership Computing Platforms: Performance and Scalability Studies. IPDPS JaeHyuk Kwack, Colleen Bertoni, Umesh Unnikrishnan, Riccardo Balin, Khalid Hossain, Yasaman Ghadar, Timothy J. Williams, Abhishek Bagusetty, Mathialakan Thavappiragasam, Väinö Hatanpää, Archit Vasan, John R. Tramm, Scott Parker
2025	—	`conf`	Efficient Intra-node Hierarchical Parallelisms And Dynamic Load Balancing Strategies On Heterogeneous Systems. IPDPS (Workshops) Dikshant Pratap Singh, Mathialakan Thavappiragasam, Brice Videau
2024	—	`conf`	Early Application Experiences on Aurora at ALCF: Moving From Petascale to Exascale Systems. CUG Colleen Bertoni, JaeHyuk Kwack, Thomas Applencourt, Abhishek Bagusetty, Yasaman Ghadar, Brian Homerding, Christopher Knight, Ye Luo, Mathialakan Thavappiragasam, John R. Tramm, Esteban Rangel, Umesh Unnikrishnan, Timothy J. Williams, Scott Parker
2024	—	`conf`	Performance Porting the ExaStar Multi-Physics App Thornado On Heterogeneous Systems - A Fortran-OpenMP Code-Base Evaluation. IWOMP Mathialakan Thavappiragasam, James Austin Harris, Eirik Endeve, Brice Videau
2023	Misc	`conf`	CPU-GPU Tuning for Modern Scientific Applications using Node-Level Heterogeneity. HiPC Mathialakan Thavappiragasam, Vivek Kale
2022	J	`jnl`	OpenMDlr: parallel, open-source tools for general protein structure modeling and refinement from pairwise distances. Bioinform. Russell B. Davidson, Jess Woods, T. Chad Effler, Mathialakan Thavappiragasam, Julie C. Mitchell, Jerry M. Parks, Ada Sedova
2022	—	`conf`	OpenMP's Asynchronous Offloading for All-pairs Shortest Path Graph Algorithms on GPUs. HiPar@SC Mathialakan Thavappiragasam, Vivek Kale
2022	B	`conf`	Portability for GPU-accelerated molecular docking applications for cloud and HPC: can portable compiler directives provide performance across all platforms? CCGRID Mathialakan Thavappiragasam, Wael R. Elwasif, Ada Sedova
2022	J	`jnl`	Portability for GPU-accelerated molecular docking applications for cloud and HPC: can portable compiler directives provide performance across all platforms? CoRR Mathialakan Thavappiragasam, Wael R. Elwasif, Ada Sedova
2021	—	`conf`	Addressing Load Imbalance in Bioinformatics and Biomedical Applications: Efficient Scheduling across Multiple GPUs. BIBM Mathialakan Thavappiragasam, Vivek Kale, Oscar R. Hernandez, Ada Sedova
2021	J	`jnl`	High-throughput virtual laboratory for drug discovery using massive datasets. Int. J. High Perform. Comput. Appl. Jens Glaser, Josh Vincent Vermaas, David M. Rogers, Jeff Larkin, Scott LeGrand, Swen Boehm, Matthew B. Baker, Aaron Scheinberg, Andreas F. Tillack, Mathialakan Thavappiragasam, Ada Sedova, Oscar R. Hernandez
2021	—	`conf`	Modeling protein structures from predicted contacts with modern molecular dynamics potentials: accuracy, sensitivity, and refinement. BCB Russell B. Davidson, Mathialakan Thavappiragasam, T. Chad Effler, Jess Woods, Dwayne A. Elias, Jerry M. Parks, Ada Sedova
2021	J	`jnl`	Parallel Algorithms for Successive Convolution. J. Sci. Comput. Andrew J. Christlieb, Pierson T. Guthrey, William A. Sands, Mathialakan Thavappiragasam
2020	—	`conf`	GPU-Accelerated Drug Discovery with Docking on the Summit Supercomputer: Porting, Optimization, and Application to COVID-19 Research. BCB Scott LeGrand, Aaron Scheinberg, Andreas F. Tillack, Mathialakan Thavappiragasam, Josh Vincent Vermaas, Rupesh Agarwal, Jeff Larkin, Duncan Poole, Diogo Santos-Martins, Leonardo Solis-Vasquez, Andreas Koch, Stefano Forli, Oscar R. Hernandez, Jeremy C. Smith, Ada Sedova
2020	J	`jnl`	Parallel Algorithms for Successive Convolution. CoRR Andrew J. Christlieb, Pierson T. Guthrey, William A. Sands, Mathialakan Thavappiragasam
2020	—	`conf`	Performance Portability of Molecular Docking Miniapp On Leadership Computing Platforms. P3HPC@SC Mathialakan Thavappiragasam, Aaron Scheinberg, Wael R. Elwasif, Oscar R. Hernandez, Ada Sedova
2020	J	`jnl`	Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19. J. Chem. Inf. Model. Atanu Acharya, Rupesh Agarwal, Matthew B. Baker, Jérôme Baudry, Debsindhu Bhowmik, Swen Böhm, Kendall G. Byler, Sam Yen-Chi Chen, Leighton Coates, Connor J. Cooper, Omar Demerdash, Isabella Daidone, John D. Eblen, Sally R. Ellingson, Stefano Forli, Jens Glaser, James C. Gumbart, John Gunnels, Oscar R. Hernandez, Stephan Irle, Daniel W. Kneller, Andrey Kovalevsky, Jeffrey M. Larkin, Travis J. Lawrence, Scott LeGrand, Shih-Hsien Liu, Julie C. Mitchell, Gilchan Park, Jerry M. Parks, Anna Pavlova, Loukas Petridis, Duncan Poole, Line Pouchard, Arvind Ramanathan, David M. Rogers, Diogo Santos-Martins, Aaron Scheinberg, Ada Sedova, Yue Shen, Jeremy C. Smith, Micholas Dean Smith, Carlos Soto, Aristides Tsaris, Mathialakan Thavappiragasam, Andreas F. Tillack, Josh Vincent Vermaas, Van Quan Vuong, Junqi Yin, Shinjae Yoo, Mai Zahran, Laura Zanetti Polzi
2015	—	`conf`	SBMLDock: Docker Driven Systems Biology Tool Development and Usage. CMSB Etienne Z. Gnimpieba, Mathialakan Thavappiragasam, Abalo Chango, Bill Conn, Carol M. Lushbough
2014	—	`conf`	Automatic biosystems comparison using semantic and name similarity. BCB Mathialakan Thavappiragasam, Carol M. Lushbough, Etienne Z. Gnimpieba
2014	—	`conf`	Heuristic parallelizable algorithm for similarity based biosystems comparison. BCB Mathialakan Thavappiragasam, Carol M. Lushbough, Etienne Z. Gnimpieba