Spintronic devices that use the spin of electrons as the information state variable have the
potential to emulate neuro-synaptic dynamics and can be realized within a compact form …

Despite the successes of graphics processing units (GPUs) in accelerating simulations in
several research fields, their use is largely restricted to domain-specific workloads that …

We present the design and implementation of an autonomic state manager (ASM) tailored
for integration within optimistic parallel discrete event simulation (PDES) environments …

The Time Warp synchronization protocol for Parallel Discrete Event Simulation (PDES) is
universally considered a viable solution to exploit the intrinsic simulation model parallelism …

Spiking Neural Networks are a class of Artificial Neural Networks that closely mimic
biological neural networks. They are particularly interesting because of their potential to …

Parallel discrete event simulation is a fundamental simulation technology that is essential to
the parallelization of event-based models including hardware and transportation systems …

Synchronization algorithms for parallel simulation struggle to attain speedup if the simulation
entities are tightly coupled and their interactions are difficult to predict. Window Racer is a …

Several techniques have been proposed to improve the performance of Parallel Discrete
Event Simulation platforms relying on the Time Warp (optimistic) synchronization protocol …

Continuous-time agent-based models often represent tightly-coupled systems in which an
agent's state transitions occur in close interaction with neighboring agents. Without artificial …

Parallel Discrete Event Simulation (PDES) is a modelling technique that takes advantage of
concurrent computing resources. However, its asynchronous nature can present challenges …