Scalability, locality, partitioning and synchronization PDES
PADS '98 Proceedings of the twelfth workshop on Parallel and distributed simulation
Scalable parallel formulations of the barnes-hut method for n-body simulations
Proceedings of the 1994 ACM/IEEE conference on Supercomputing
ANSS '07 Proceedings of the 40th Annual Simulation Symposium
Communications of the ACM
A Spatial Extension to the π Calculus
Electronic Notes in Theoretical Computer Science (ENTCS)
Parallel and Distributed Spatial Simulation of Chemical Reactions
Proceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation
A scalable framework for parallel discrete event simulations on desktop grids
GRID '07 Proceedings of the 8th IEEE/ACM International Conference on Grid Computing
Optimistic Parallel Simulation over Public Resource-Computing Infrastructures and Desktop Grids
DS-RT '08 Proceedings of the 2008 12th IEEE/ACM International Symposium on Distributed Simulation and Real-Time Applications
insilicoSim: an extendable engine for parallel heterogeneous biophysical simulations
Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques
Computational Biology and Chemistry
| Hi-index | 0.00 |
As data and knowledge about cell-biological systems increases so does the need for simulation tools to support a hypothesis driven wet-lab experimentation. Discrete event simulation has received a lot of attention lately, however, often its application is hampered by its lack of performance. One solution are parallel, distributed approaches, however, their application is limited by the amount of parallelism available in the model. Recent studies have shown that spatial aspects are crucial for cell biological dynamics and they are also a promising candidate to exploit parallelism. Promises and specific requirements imposed by a spatial simulation of cell biological systems will be illuminated by a parallel and distributed variant of the Next-Subvolume Method (NSM), which augments the Stochastic Simulation Algorithm (SSA) with spatial features, and its realization in a grid-inspired simulation system called Aurora.