The influence of caches on the performance of sorting
SODA '97 Proceedings of the eighth annual ACM-SIAM symposium on Discrete algorithms
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
A two-list synchronization procedure for discrete event simulation
Communications of the ACM
Big Omicron and big Omega and big Theta
ACM SIGACT News
Continuous System Simulation
Journal of Computational Physics
Temporal acceleration of spatially distributed kinetic Monte Carlo simulations
Journal of Computational Physics
ANSS '07 Proceedings of the 40th Annual Simulation Symposium
The event queue problem and PDevs
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 2
Large-Scale Design Space Exploration of SSA
CMSB '08 Proceedings of the 6th International Conference on Computational Methods in Systems Biology
An adaptive algorithm for simulation of stochastic reaction-diffusion processes
Journal of Computational Physics
Automating the runtime performance evaluation of simulation algorithms
Winter Simulation Conference
Streamlined formulation of adaptive explicit-implicit tau-leaping with automatic tau selection
Winter Simulation Conference
Visual analytics for stochastic simulation in cell biology
i-KNOW '11 Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies
Adapting rule-based model descriptions for simulating in continuous and hybrid space
Proceedings of the 9th International Conference on Computational Methods in Systems Biology
Panel on grand challenges for modeling and simulation
Proceedings of the Winter Simulation Conference
Seven pitfalls in modeling and simulation research
Proceedings of the Winter Simulation Conference
Evaluating simulation software components with player rating systems
Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques
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Since the publication of Gillespie's direct method, diverse methods have been developed to improve the performance of stochastic simulation methods and to enter the spatial realm. In this paper we discuss a spatial @t-leaping variant (S@t) that extends the basic leap method. S@t takes reaction and both outgoing and incoming diffusion events into account when calculating a leap candidate. A performance analysis shall reveal details on the achieved success in balancing speed and accuracy in comparison to other methods. However, performance analysis of spatial stochastic algorithms requires significant effort - it is crucial to choose suitable (benchmark) models and to carefully define model and simulation setups that take problem and simulation design spaces into account.