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ORCIDMatthias K. Gobbert
Person information
- affiliation: University of Maryland, Baltimore, MD, USA
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Journal Articles
- 2021
[j15]Jonathan N. Basalyga
, Carlos A. Barajas, Matthias K. Gobbert, Jianwu Wang:
Performance Benchmarking of Parallel Hyperparameter Tuning for Deep Learning Based Tornado Predictions. Big Data Res. 25: 100212 (2021)- 2020
- [j14]Lai Wang, Matthias K. Gobbert, Meilin Yu:
A dynamically load-balanced parallel p-adaptive implicit high-order flux reconstruction method for under-resolved turbulence simulation. J. Comput. Phys. 417: 109581 (2020) - 2018
- [j13]Jonathan S. Graf, Matthias K. Gobbert, Samuel Khuvis:
Long-time simulations with complex code using multiple nodes of Intel Xeon Phi Knights Landing. J. Comput. Appl. Math. 337: 18-36 (2018) - 2015
- [j12]Zana Coulibaly, Matthias K. Gobbert, Bradford E. Peercy:
Insight into spontaneous recurrent calcium waves in a 3-D cardiac cell based on analysis of a 1-D deterministic model. Int. J. Comput. Math. 92(3): 591-607 (2015) - 2012
- [j11]Thomas I. Seidman, Matthias K. Gobbert, David W. Trott, Martin Kruzík:
Finite element approximation for time-dependent diffusion with measure-valued source. Numerische Mathematik 122(4): 709-723 (2012) - 2009
- [j10]Shiming Yang, Matthias K. Gobbert:
The optimal relaxation parameter for the SOR method applied to the Poisson equation in any space dimensions. Appl. Math. Lett. 22(3): 325-331 (2009) - 2008
- [j9]Matthias K. Gobbert, Nagaraj K. Neerchal:
Preparing Graduate Students for Interdisciplinary Careers. Comput. Sci. Eng. 10(1): 93-95 (2008) - [j8]Matthias K. Gobbert:
Long-Time Simulations on High Resolution Meshes to Model Calcium Waves in a Heart Cell. SIAM J. Sci. Comput. 30(6): 2922-2947 (2008) - 2007
- [j7]Matthias K. Gobbert, Samuel G. Webster, Timothy S. Cale:
A Galerkin Method for the Simulation of the Transient 2-D/2-D and 3-D/3-D Linear Boltzmann Equation. J. Sci. Comput. 30(2): 237-273 (2007) - 2006
- [j6]Matthias K. Gobbert, Timothy S. Cale:
A kinetic transport and reaction model and simulator for rarefied gas flow in the transition regime. J. Comput. Phys. 213(2): 591-612 (2006) - 2005
- [j5]Matthias K. Gobbert:
Configuration and performance of a Beowulf cluster for large-scale scientific simulations. Comput. Sci. Eng. 7(2): 14-26 (2005) - 2003
- [j4]Christian A. Ringhofer, Matthias K. Gobbert:
A Homogenization Technique for the Boltzmann Equation for Low Pressure Chemical Vapor Deposition. SIAM J. Appl. Math. 64(1): 196-215 (2003) - 1999
- [j3]Matthias K. Gobbert, Andreas Prohl:
A Discontinuous Finite Element Method for Solving a Multiwell Problem. SIAM J. Numer. Anal. 37(1): 246-268 (1999) - 1998
- [j2]Christian A. Ringhofer, Matthias K. Gobbert:
An Asymptotic Analysis for a Model of Chemical Vapor Deposition on a Microstructured Surface. SIAM J. Appl. Math. 58(3): 737-752 (1998) - [j1]Matthias K. Gobbert, Timothy S. Cale, Christian A. Ringhofer:
The Combination of Equipment Scale and Feature Scale Models for Chemical Vapor Deposition Via a Homogenization Technique. VLSI Design 6(1-4): 399-403 (1998)
Conference and Workshop Papers
- 2023
- [c12]Ruth Obe, Brandt Kaufmann, Kaelen Baird, Sam Kadel, Yasmin Soltani, Mostafa Cham, Matthias K. Gobbert, Carlos A. Barajas, Zhuoran Jiang, Vijay R. Sharma, Lei Ren, Stephen W. Peterson, Jerimy C. Polf:
Accelerating Real-Time Imaging for Radiotherapy: Leveraging Multi-GPU Training with PyTorch. ICMLA 2023: 1727-1734 - 2022
- [c11]Joseph Clark, Anaise Gaillard, Justin Koe, Nithya Navarathna, Daniel J. Kelly, Matthias K. Gobbert, Carlos A. Barajas, Jerimy C. Polf:
Multi-Layer Recurrent Neural Networks for the Classification of Compton Camera Based Imaging Data for Proton Beam Cancer Treatment. BDCAT 2022: 213-222 - 2021
- [c10]Sokhna A. York, Alina M. Ali, David C. Lashbrooke, Rodrigo Yepez-Lopez, Carlos A. Barajas, Matthias K. Gobbert, Jerimy C. Polf:
Promising Hyperparameter Configurations for Deep Fully Connected Neural Networks to Improve Image Reconstruction in Proton Radiotherapy. IEEE BigData 2021: 5648-5657 - 2019
- [c9]Carlos A. Barajas, Matthias K. Gobbert, Jianwu Wang:
Performance Benchmarking of Data Augmentation and Deep Learning for Tornado Prediction. IEEE BigData 2019: 3607-3615 - 2018
- [c8]Carlos Barajas, Pei Guo, Lipi Mukherjee, Susan Hoban, Jianwu Wang, Daeho Jin, Aryya Gangopadhyay, Matthias K. Gobbert:
Benchmarking Parallel K-Means Cloud Type Clustering from Satellite Data. Bench 2018: 248-260 - [c7]James Della-Giustina, Carlos Barajas, Matthias K. Gobbert, Dennis S. Mackin, Jerimy Polf:
Hybrid MPI+OpenMP parallelization of image reconstruction in proton beam therapy on multi-core and many-core processors. SpringSim (HPC) 2018: 11:1-11:11 - 2015
- [c6]Nil Mistry, Jordan Ramsey, Benjamin Wiley, Jackie Yanchuck, Xuan Huang, Matthias K. Gobbert:
Throughput studies on an InfiniBand interconnect via all-to-all communications. SpringSim (HPS) 2015: 93-99 - [c5]Xuan Huang, Matthias K. Gobbert:
Long-time simulation of calcium induced calcium release in a heart cell using the finite element method on a hybrid CPU/GPU node. SpringSim (HPS) 2015: 150-157 - [c4]Matthew W. Brewster, Jonathan S. Graf, Xuan Huang, Zana Coulibaly, Matthias K. Gobbert, Bradford E. Peercy:
Calcium induced calcium release with stochastic uniform flux density in a heart cell. SummerSim 2015: 64:1-64:6 - 2005
- [c3]Matthias K. Gobbert, Mark L. Breitenbach, Timothy S. Cale:
Cluster Computing for Transient Simulations of the Linear Boltzmann Equation on Irregular Three-Dimensional Domains. International Conference on Computational Science (3) 2005: 41-48 - 2003
- [c2]Kevin P. Allen, Matthias K. Gobbert:
Coarse-Grained Parallel Matrix-Free Solution of a Three-Dimensional Elliptic Prototype Problem. ICCSA (2) 2003: 290-299 - 2002
- [c1]Samuel G. Webster, Matthias K. Gobbert, Jean-François Remacle, Timothy S. Cale:
Parallel Numerical Solution of the Boltzmann Equation for Atomic Layer Deposition (Research Note). Euro-Par 2002: 452-456
Coauthor Index
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