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Synchronization of conservative parallel discrete event simulations on a small-world network
Liliia Ziganurova1, Lev N Shchur1
1Science Center in Chernogolovka, 142432 Chernogolovka, Russia and National Research University Higher School of Economics, 101000 Moscow, Russia.
Sparse long-range communications impact parallel discrete event simulations synchronization. Synchronization depends on network shortest paths, with critical exponents varying logarithmically with long-range links.
Area of Science:
- Computer Science
- Physics
Background:
- Parallel discrete event simulations (PDES) are crucial for complex system modeling.
- Synchronization is a key challenge in PDES, especially with sparse communication patterns.
Purpose of the Study:
- To investigate how sparse long-range communications affect synchronization in PDES.
- To model the evolution of local virtual times in conservative PDES algorithms.
Main Methods:
- Developed a model for local virtual time evolution in conservative PDES.
- Utilized small-world network models for network realizations.
- Applied statistical physics approaches, specifically analyzing surface profile growth dynamics.
Main Results:
- Synchronization is directly influenced by the average shortest path length of the network.
- Time profile dynamics exhibit similarities to surface profile growth.
- Without long-range links, the model aligns with the Kardar-Parisi-Zhang universality class.
- Critical exponents show a logarithmic dependence on the fraction of long-range links.
Conclusions:
- Sparse long-range links in PDES networks can be analyzed using statistical physics and surface growth models.
- The interplay between network topology and synchronization is critical for efficient PDES.
- Understanding these dynamics can lead to improved synchronization strategies in large-scale simulations.
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