While Monte Carlo Neutron Transport (MCNT) is near-embarrasingly parallel, the effectively
unpredictable lifetime of neutrons can lead to divergence when MCNT is evaluated on …

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 …

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 …

In the last two decades, great attention has been devoted to the design of non-blocking and
linearizable data structures, which enable exploiting the scaled-up degree of parallelism in …

Payment Channel Networks (PCNs) promise to solve the scalability (and privacy) issue of
blockchains. Understanding them is a key pillar to define a payment system, such as a …

Parallel discrete-event simulation (PDES) is a well-established family of methods to
accelerate discrete-event simulations. However, the available algorithms vary substantially …

Output production and predicate detection are critical in speculative parallel discrete event
simulation, since they need to take place accessing past state values—which have become …

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 …

Traditionally, parallel discrete-event simulations of agent-based models in continuous time
are organized around logical processes exchanging time-stamped events, which clashes …

Agent-based simulations relying on synchronous state updates using a fixed time step size
are considered attractive candidates for parallel execution in order to reduce simulation …