[1] J. Weinbub, K. Rupp, and F. Rudolf, “A Flexible Material Database for Computational Science and Engineering,” in Abstracts 4th European Seminar on Computing, 2014, accepted.
[2] K. Rupp, F. Rudolf, J. Weinbub, A. Jüngel, and T. Grasser, “Automatic Finite Volume Discretizations Through Symbolic Computations,” in Abstracts 4th European Seminar on Computing, 2014, accepted.
[3] F. Rudolf, Y. Wimmer, J. Weinbub, K. Rupp, and S. Selberherr, “Mesh Generation Using Dynamic Sizing Functions,” in Abstracts 4th European Seminar on Computing, 2014, accepted.
[4] V. Sverdlov, H. Mahmoudi, A. Makarov, D. Osintsev, J. Weinbub, T. Windbacher, and S. Selberherr, “Modeling Spin-Based Devices in Silicon,” in Proceedings of the 16th International Workshop on Computational Electronics (IWCE 2013), 2013, pp. 70–71.
[5] J. Weinbub, K. Rupp, and S. Selberherr, “Increasing Flexibility and Reusability of Finite Element Simulations With ViennaX,” in Abstracts 4th International Congress on Computational Engineering and Sciences, 2013.
[6] K. Rupp, F. Rudolf, and J. Weinbub, “A Discussion of Selected Vienna-Libraries for Computational Science,” in Proceedings of C++Now (2013), 2013.
[7] J. Weinbub, K. Rupp, and S. Selberherr, “A Flexible Execution Framework for High-Performance TCAD Applications,” in Proceedings of the 17th International Conference on Simulation of Semiconductor Processes and Devices, 2012, pp. 400–403.
[8] J. Weinbub, K. Rupp, and S. Selberherr, “A Generic Multi-Dimensional Run-Time Data Structure for High-Performance Scientific Computing,” in Proceedings of the World Congress on Engineering (WCE), 2012, pp. 1076–1081.
[9] J. Weinbub, “A Lightweight Task Graph Scheduler for Distributed High-Performance Scientific Computing,” in Proceedings of the International Workshop on the State-of-the-Art in Scientific and Parallel Computing, 2012.
[10] J. Weinbub, “Distributed High-Performance Parallel Mesh Generation with ViennaMesh,” in Proceedings of the International Workshop on the State-of-the-Art in Scientific and Parallel Computing, 2012.
[11] J. Weinbub, K. Rupp, L. Filipovic, A. Makarov, and S. Selberherr, “Towards a Free Open Source Process and Device Simulation Framework,” in Proceedings of the 15th International Workshop on Computational Electronics (IWCE 2012), 2012, pp. 141–142.
[12] J. Weinbub, K. Rupp, and S. Selberherr, “Utilizing Modern Programming Techniques and the Boost Libraries for Scientific Software Development,” in Proceedings of C++Now (2012), 2012.
[13] M. Wagner, K. Rupp, and J. Weinbub, “A Comparison of Algebraic Multigrid Preconditioners using Graphics Processing Units and Multi-Core Central Processing Units,” in Proceedings of the Spring Simulation Multiconference 2012, 2012.
[14] A. Makarov, V. Sverdlov, D. Osintsev, J. Weinbub, and S. Selberherr, “Modeling of the Advanced Spin Transfer Torque Memory: Macro- and Micromagnetic Simulations,” in Proceedings of the 25th European Simulation and Modelling Conference, 2011, pp. 177–181.
[15] J. Weinbub, J. Cervenka, K. Rupp, and S. Selberherr, “High-Quality Mesh Generation Based on Orthogonal Software Modules,” in Proceedings of the 16th International Conference on Simulation of Semiconductor Processes and Devices, 2011, pp. 139–142.
[16] J. Weinbub, J. Cervenka, K. Rupp, and S. Selberherr, “A Generic High-Quality Meshing Framework,” in Proceedings of the 11th US National Congress on Computational Mechanics (USNCCM), 2011.
[17] J. Weinbub, K. Rupp, and S. Selberherr, “Distributed Heterogenous High-Performance Computing with ViennaCL,” in Abstracts Intl. Conf. on Large-Scale Scientific Computations, 2011, pp. 88–90.
[18] D. Osintsev, V. Sverdlov, Z. Stanojevic, A. Makarov, J. Weinbub, and S. Selberherr, “Properties of Silicon Ballistic Spin Fin-Based Field-Effect Transistors,” in 219th ECS Meeting, Vol.35, No.5, 2011, pp. 277–282. DOI: 10.1149/1.3570806
[19] A. Makarov, J. Weinbub, V. Sverdlov, and S. Selberherr, “First-Principles Modeling of Bipolar Resistive Switching in Metal-Oxide Based Memory,” in Proceedings of the European Simulation and Modelling Conference (ESM), 2010, pp. 181–186.
[20] J. Weinbub, R. Heinzl, P. Schwaha, F. Stimpfl, and S. Selberherr, “A Lightweight Material Library for Scientific Computing in C++,” in Proceedings of the European Simulation and Modelling Conference (ESM), 2010, pp. 454–458.
[21] K. Rupp, J. Weinbub, and F. Rudolf, “Automatic Performance Optimization in ViennaCL for GPUs,” in Proceedings of the 9th Workshop on Parallel/High-Performance Object-Oriented Scientific Computing, 2010. DOI: 10.1145/2039312.2039318
[22] P. Gottschling, R. Heinzl, J. Weinbub, N. Kirchner, M. Sauer, A. Klomfass, C. Steinhardt, and J. Wensch, “Generic C++ Implementation of High-Performance BFS-RBF-based Mesh Motion Schemes,” in AIP Conference Proceedings, 1281, 2010, pp. 1631–1634.
[23] G. Mach, R. Heinzl, P. Schwaha, F. Stimpfl, J. Weinbub, and S. Selberherr, “A Modular Tool Chain for High Performance CFD Simulations in Intracranial Aneurysms,” in AIP Conference Proceedings, 2010, pp. 1647–1650.
[24] F. Stimpfl, J. Weinbub, R. Heinzl, P. Schwaha, and S. Selberherr, “A Unified Topological Layer for Finite Element Space Discretization,” in AIP Conference Proceedings, 2010, pp. 1655–1658.
[25] J. Weinbub, P. Schwaha, R. Heinzl, F. Stimpfl, and S. Selberherr, “A Dispatched Covariant Type System for Numerical Applications in C++,” in AIP Conference Proceedings, 2010, pp. 1663–1666.
[26] K. Rupp, F. Rudolf, and J. Weinbub, “ViennaCL - A High Level Linear Algebra Library for GPUs and Multi-Core CPUs,” in Proceedings of the International Workshop on GPUs and Scientific Applications (GPUScA 2010), 2010, pp. 51–56.
[27] J. Weinbub, K. Rupp, and S. Selberherr, “ViennaIPD - An Input Control Language for Scientific Computing,” in Proceedings of the Industrial Simulation Conference, 2010, pp. 34–38.