Efficient Monte Carlo Simulation of Biological Aging
T.J.P.Penna, D.Stauffer
TL;DR
This paper presents a highly parallelized Monte Carlo simulation model for biological aging, capable of handling hundreds of millions of individuals, accurately capturing the decline in survival probabilities with age.
Contribution
It introduces a scalable parallelization approach for simulating biological aging using a bit-string model, enabling large-scale analysis.
Findings
Successfully simulates survival probability decay across age intervals
Handles hundreds of millions of individuals efficiently
Provides accurate modeling of biological aging processes
Abstract
A bit-string model of biological life-histories is parallelized, with hundreds of millions of individuals. It gives the desired drastic decay of survival probabilities with increasing age for 32 age intervals.
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