The large diffusion of highly-parallel shared-memory multi-core machines has led Parallel Discrete Event Simulation (PDES) platforms to a shift towards a share-everything model. This model is based on loose coupling between simulation objects and threads, lasting (as an extreme) no more than the lifetime of individual events. Concurrent threads can therefore CPU-dispatch events destined to any object at any point in time, thus fully sharing the workload of events to be processed on a fine grain basis. This demands for efficient mechanisms to share the overall pool of pending events by enabling parallelism in insertion and extraction operations. In this article we present a lock-free event pool which also provides amortized O(1) time complex...
Modern advancements in computing architectures have been accompanied by new emergent paradigms to ru...
In this article we tackle transparent parallelization of Discrete Event Simulation (DES) models to b...
Shared-memory multi-processor/multi-core machines have become a reference for many application conte...
The large diffusion of highly-parallel sharedmemory multi-core machines has led Parallel Discrete Ev...
The large diffusion of highly-parallel shared-memory multi-core machines has led Parallel Discrete E...
Emerging share-everything Parallel Discrete Event Simulation (PDES) platforms rely on worker threads...
Emerging share-everything Parallel Discrete Event Simulation (PDES) platforms rely on worker threads...
Shared-memory multi-core platforms are changing the nature of Parallel Discrete Event Simulation (PD...
The large diffusion of shared-memory multi-core machines has impacted the way Parallel Discrete Even...
The share-everything PDES (Parallel Discrete Event Simulation) paradigm is based on fully sharing th...
The large diffusion of shared-memory multi-core machines has impacted the way Parallel Discrete Even...
Parallel Discrete Event Simulation (PDES) is based on the partitioning of the simulation model into ...
In Parallel Discrete Event Simulation (PDES), the simulation model is partitioned into a set of dist...
Modern advancements in computing architectures have been accompanied by new emergent paradigms to ru...
In this article we tackle transparent parallelization of Discrete Event Simulation (DES) models to b...
Shared-memory multi-processor/multi-core machines have become a reference for many application conte...
The large diffusion of highly-parallel sharedmemory multi-core machines has led Parallel Discrete Ev...
The large diffusion of highly-parallel shared-memory multi-core machines has led Parallel Discrete E...
Emerging share-everything Parallel Discrete Event Simulation (PDES) platforms rely on worker threads...
Emerging share-everything Parallel Discrete Event Simulation (PDES) platforms rely on worker threads...
Shared-memory multi-core platforms are changing the nature of Parallel Discrete Event Simulation (PD...
The large diffusion of shared-memory multi-core machines has impacted the way Parallel Discrete Even...
The share-everything PDES (Parallel Discrete Event Simulation) paradigm is based on fully sharing th...
The large diffusion of shared-memory multi-core machines has impacted the way Parallel Discrete Even...
Parallel Discrete Event Simulation (PDES) is based on the partitioning of the simulation model into ...
In Parallel Discrete Event Simulation (PDES), the simulation model is partitioned into a set of dist...
Modern advancements in computing architectures have been accompanied by new emergent paradigms to ru...
In this article we tackle transparent parallelization of Discrete Event Simulation (DES) models to b...
Shared-memory multi-processor/multi-core machines have become a reference for many application conte...