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Milinda Fernando
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2020 – today
- 2024
- [c9]William Ruys, Hochan Lee, Bozhi You, Shreya Talati, Jaeyoung Park, James Almgren-Bell, Yineng Yan, Milinda Fernando, George Biros, Mattan Erez, Martin Burtscher, Christopher J. Rossbach, Keshav Pingali, Milos Gligoric:
A Deep Dive into Task-Based Parallelism in Python. IPDPS (Workshops) 2024: 1147-1149 - [i6]Sreeram Venkat, Milinda Fernando, Stefan Henneking, Omar Ghattas:
Fast and Scalable FFT-Based GPU-Accelerated Algorithms for Hessian Actions Arising in Linear Inverse Problems Governed by Autonomous Dynamical Systems. CoRR abs/2407.13066 (2024) - [i5]Milinda Fernando, Daniil Bochkov, James Almgren-Bell, Todd A. Oliver, Robert D. Moser, Philip Varghese, Laxminarayan L. Raja, George Biros:
A fast solver for the spatially homogeneous electron Boltzmann equation. CoRR abs/2409.00207 (2024) - 2022
- [j5]Makrand A. Khanwale
, Kumar Saurabh
A fully-coupled framework for solving Cahn-Hilliard Navier-Stokes equations: Second-order, energy-stable numerical methods on adaptive octree based meshes. Comput. Phys. Commun. 280: 108501 (2022) - [j4]Milinda Fernando
Scalable Local Timestepping on Octree Grids. SIAM J. Sci. Comput. 44(2): 156- (2022) - [c8]Han D. Tran, Milinda Fernando, Kumar Saurabh, Baskar Ganapathysubramanian, Robert M. Kirby, Hari Sundar:
A scalable adaptive-matrix SPMV for heterogeneous architectures. IPDPS 2022: 13-24 - [c7]Milinda Fernando, David Neilsen, Eric W. Hirschmann, Yosef Zlochower, Hari Sundar, Omar Ghattas, George Biros:
A GPU-Accelerated AMR Solver for Gravitational Wave Propagation. SC 2022: 75:1-75:15 - 2021
- [j3]Kumar Saurabh
Industrial scale Large Eddy Simulations with adaptive octree meshes using immersogeometric analysis. Comput. Math. Appl. 97: 28-44 (2021) - [c6]Kumar Saurabh, Masado Ishii, Milinda Fernando, Boshun Gao, Kendrick Tan, Ming-Chen Hsu
Scalable adaptive PDE solvers in arbitrary domains. SC 2021: 20 - [i4]Kumar Saurabh, Masado Ishii, Milinda Fernando, Boshun Gao, Kendrick Tan, Ming-Chen Hsu, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian:
Scalable adaptive PDE solvers in arbitrary domains. CoRR abs/2108.03757 (2021) - 2020
- [j2]Chalitha Perera, Milinda Fernando:
Comparison of Multiple Linear Regression and Artificial Neural Network Models for the Prediction of Solid Waste Generation in Sri Lanka. Trans. Mach. Learn. Data Min. 13(1): 3-25 (2020) - [i3]Kumar Saurabh, Boshun Gao, Milinda Fernando, Songzhe Xu, Biswajit Khara, Makrand A. Khanwale, Ming-Chen Hsu, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian:
Industrial scale large eddy simulations (LES) with adaptive octree meshes using immersogeometric analysis. CoRR abs/2009.00706 (2020) - [i2]Makrand A. Khanwale, Kumar Saurabh, Milinda Fernando, Victor M. Calo, James A. Rossmanith, Hari Sundar, Baskar Ganapathysubramanian:
A fully-coupled framework for solving Cahn-Hilliard Navier-Stokes equations: Second-order, energy-stable numerical methods on adaptive octree based meshes. CoRR abs/2009.06628 (2020) - [i1]Milinda Fernando, Hari Sundar:
Scalable Local Timestepping on Octree Grids. CoRR abs/2011.10570 (2020)
2010 – 2019
- 2019
- [j1]Milinda Fernando, David Neilsen
Massively Parallel Simulations of Binary Black Hole Intermediate-Mass-Ratio Inspirals. SIAM J. Sci. Comput. 41(2): C97-C138 (2019) - [c5]Milinda Fernando, David Neilsen
A scalable framework for adaptive computational general relativity on heterogeneous clusters. ICS 2019: 1-12 - [c4]Masado Ishii, Milinda Fernando, Kumar Saurabh
Solving PDEs in space-time: 4D tree-based adaptivity, mesh-free and matrix-free approaches. SC 2019: 61:1-61:61 - 2017
- [c3]Milinda Fernando, Dmitry Duplyakin, Hari Sundar:
Machine and Application Aware Partitioning for Adaptive Mesh Refinement Applications. HPDC 2017: 231-242 - [c2]Isuru Dilanka Fernando, Sanath Jayasena
A Scalable Hierarchical Semi-Separable Library for Heterogeneous Clusters. ICPP 2017: 513-522 - 2015
- [c1]Sanath Jayasena
Auto-Tuning the Java Virtual Machine. IPDPS Workshops 2015: 1261-1270
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