14 citations · 21 across the 6 of their papers we have counts for
7 papers
Automatic partitioning for the low-rank integration of stochastic Boolean reaction networks
Lukas Einkemmer, Julian Mangott, Martina Prugger
Boolean reaction networks are an important tool in biochemistry for studying mechanisms in the biological cell. However, the stochastic formulation of such networks requires the so…
A hierarchical dynamical low-rank algorithm for the stochastic description of large reaction networks
Lukas Einkemmer, Julian Mangott, Martina Prugger
The stochastic description of chemical reaction networks with the kinetic chemical master equation (CME) is important for studying biological cells, but it suffers from the curse o…
A low-rank complexity reduction algorithm for the high-dimensional kinetic chemical master equation
Lukas Einkemmer, Julian Mangott, Martina Prugger
It is increasingly realized that taking stochastic effects into account is important in order to study biological cells. However, the corresponding mathematical formulation, the ch…
A Newcomer In The PGAS World -- UPC++ vs UPC: A Comparative Study
Jérémie Lagravière, Johannes Langguth, Martina Prugger +2
A newcomer in the Partitioned Global Address Space (PGAS) 'world' has arrived in its version 1.0: Unified Parallel C++ (UPC++). UPC++ targets distributed data structures where comm…
Performance optimization and modeling of fine-grained irregular communication in UPC
Jérémie Lagravière, Johannes Langguth, Martina Prugger +3
The UPC programming language offers parallelism via logically partitioned shared memory, which typically spans physically disjoint memory sub-systems. One convenient feature of UPC…
An exponential integrator for the drift-kinetic model
Nicolas Crouseilles, Lukas Einkemmer, Martina Prugger
We propose an exponential integrator for the drift-kinetic equation in cylindrical geometry. This approach removes the CFL condition from the linear part of the system (which is of…
Evaluation of the Partitioned Global Address Space (PGAS) model for an inviscid Euler solver
Martina Prugger, Lukas Einkemmer, Alexander Ostermann
In this paper we evaluate the performance of Unified Parallel C (which implements the partitioned global address space programming model) using a numerical method that is widely us…