Local interactions between individual organisms influence the population dynamics of species and impact their evolution. We describe high-performance simulation of evolutionary aspects of epidemics in spatially explicit, individual based models of multi-species habitat.

-Seiden automaton. Details on the parallel implementation as well as performance data on the IBM SP2 parallel platform are presented and commented on. 1 Introduction Most attempts to simulate the behaviour of biological systems are faced with the need of manipulating and processing vast amounts of data

Simulation of large-scale networks demands that we model some flows at coarser time scales than others, simply to keep the execution cost manageable. This article studies a method for periodically computing traffic at a time scale larger than that typically used for detailed packet simulations

This report describes release 2.0 of the SimpleScalar tool set, a suite of free, publicly available simulation tools that offer both detailed and high-performance simulation of modern microprocessors. The new release offers more tools and capabilities, precompiled binaries, cleaner interfaces

for application-level fault-tolerance and exception-handling, i.e., resilience, and the orchestrated execution of distributed codes on remote high-performance clusters. Keywords-workflows; fault-tolerance; resilience; simulation; distributed systems; high-performance computing I.

(DEVS) is widely used due to its formal modeling and simulation framework. The increasing complexity of systems to be modeled asks for cellular space models with large number of cells for modeling the systems’ spatial-temporal behavior. Improving simulation performance becomes crucial for simulating

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to achieve the high performance needed to execute the huge number of cell events required for a realistic network scenario. Results for several simulation experiments are reported using this high performance simulator including scenarios for the Wnet and OPERA networks. Finally, a preliminary evaluation

. This paper presents cache performance data for blocked programs and evaluates several optimizations to improve this performance. The data is obtained by a theoretical model of data conflicts in the cache, which has been validated by large amounts of simulation. We show that the degree of cache interference

for high data rate wireless communication. The encoding/decoding complexity of these codes is comparable to trellis codes employed in practice over Gaussian channels. The codes constructed here provide the best tradeoff between data rate, diversity advantage, and trellis complexity. Simulation results