Agent-based models can be used to better understand the impacts of lifting restrictions or
implementing interventions during a pandemic. However, agent-based models are …

Shared-memory multi-processor/multi-core machines have become a reference for many
application contexts. In particular, the recent literature on speculative parallel discrete event …

For millennia tuberculosis (TB) has shown a successful strategy to survive, making it one of
the world's deadliest infectious diseases. This resilient behavior is based not only on …

Agent-based modelling and simulation is a promising methodology that can be applied in
the study of population dynamics. The main advantage of this technique is that it allows …

Parallel Discrete Event Simulation (PDES) has been the target of many optimizations
through the years. However, PDES on shared-memory and multi-core machines still lacks a …

Agent-Based Modeling and Simulation (ABMS) is an effective paradigm to model systems
exhibiting complex interactions, also with the goal of studying the emergent behavior of …

A rollback operation in a speculative parallel discrete event simulator has traditionally
targeted the perfect reconstruction of the state to be restored after a timestamp-order …

To improve disease surveillance systems (DSS) with faster and accurate outbreak detection
and epidemics propagation capabilities, the availability of fine-tuned models is required …

In this paper, we discuss a tie-breaking strategy based on a bitwise comparison of event
payload that allows parallel and distributed discrete-event simulations to observe a …

In this work, we present our research on efficiency of single-core execution of agent-based
epidemiological models with contact-tracing transmission. We performed an analysis of …