Welcome to Martina Pruggers Pages

Academic Degrees

• 2017 PhD in Mathematics, University of Innsbruck
• 2013 Dipl.-Ing. in Technical Mathematics (Master Program), University of Innsbruck
• 2010 Bakk.rer.soc.oec in Statistics, University of Vienna

Publications

• Einkemmer, L., Mangott, J., Prugger, M. (2024) A low-rank complexity reduction algorithm for the high-dimensional kinetic chemical master equation. Journal of Computational Physics, 112827. DOI

• Prugger M., Einkemmer L., Lopez C. F. (2023) A dynamical low-rank approach to solve the chemical master equation for biological reaction networks. Journal of Computational Physics, 112250. DOI

• Prugger M., Einkemmer L., Beik S. P., Wasdin P. T., Harris L. A., Lopez C. F. (2021) Unsupervised logic-based mechanism inference for network-driven biological processes. PLoS Comput Biol 17(6): e1009035. DOI

• Lagravière, J., Langguth, J., Prugger, M., Ha, P. H., & Cai, X.(2021) A Newcomer In The PGAS World–UPC++ vs UPC: A Comparative Study. arXiv.

• Pino, J. C., Prugger, M., Lubbock, A. L. R., Harris, L. A., & Lopez, C. F. (2020). Accelerated Simulations of Chemical Reaction Systems using the Stochastic Simulation Algorithm on GPUs. bioRxiv.

• Lagravière, J., Langguth, J., Prugger, M., Einkemmer, L., Ha, P. H., & Cai, X. (2019). Performance optimization and modeling of fine-grained irregular communication in UPC. Scientific Programming, 2019. DOI

• Crouseilles, N., Einkemmer, L., & Prugger, M. (2018). An exponential integrator for the drift-kinetic model. Computer Physics Communications, 224, 144-153. DOI

• Kurganov, A., Prugger, M., & Wu, T. (2017). Second-order fully discrete central-upwind scheme for two-dimensional hyperbolic systems of conservation laws. Siam Journal on Scientific Computing, 39(3), A947-A965. DOI

• Prugger, M., Einkemmer, L., & Ostermann, A. (2016). Evaluation of the partitioned global address space (PGAS) model for an inviscid Euler solver. Parallel Computing, 60, 22-40. DOI

• Lagraviere, J. A. E., Prugger, M., Einkemmer, L., Langguth, J., Ha, H. P., & Cai, X. (2016). Implementing and optimizing a Sparse Matrix-Vector Multiplication with UPC. Link

Theses

• PhD Thesis: High-resolution numerical schemes for hyperbolic conservation laws, and their performance on modern HPC architectures
  This thesis is part of the Vienna Scientific Cluster (VSC) school and of the Doctoral Program: Computational Interdisciplinary Modeling (DK CIM) of the University of Innsbruck

• Master Thesis: Investigation of different splitting methods for the evolution of turbulences in astrophysical fluids

• Bachelor Thesis: Network analysis of scientific publications