QualNet Parallel Capabilties


Key Features of QualNet with Parallel Upgrades
  • Real-time Simulation. Models can speed up and scale on parallel computing environments. For instance, a cluster of 16 dual 2GHz Opteron systems connected by an Infiniband switch achieved real-time speed for 3,500 nodes*.
  • Support for a Variety of Parallel Computing Environments. QualNet Parallel Developer runs on all modern computer platforms, from dual-and multi-core processors, workstation clusters, and supercomputers.
  • Protocol Models are Pre-optimized for Parallel. There's no need to re-write code for parallel execution; all models come optimized for small and mid-size parallel processors and supercomputers. Also, the kernel and APIs are designed to facilitate parallel development.
  • Parallel Since Day One. QualNet was designed for parallel execution since the first line of code was written in 1999. Parallelizing a legacy sequential simulator has been shown to be difficult and ineffective.

QualNet takes speed and scalability to new levels through the use of distributed and cluster parallel computing. If speed of simulation and large models are your primary concern, QualNet Developer with parallel upgrades is the solution.

Like base QualNet Developer, QualNet with parallel upgrades is a comprehensive set of tools with all the components for custom network modeling and simulation. The QualNet simulation engine is extremely scalable and can accommodate high fidelity models of networks of thousands of nodes. QualNet makes good use of computational resources and models large scale networks with heavy traffic and mobility in reasonable simulation times.

Further Reading

Improving Performance of Parallel Simulation Kernel for Wireless Network Simulations
Mansi Thoppian, Hai Vu, S. Venkatesan, Ravi Prakash, Neeraj Mittal, Jackson Anderson, Milcom 2006
Improving_performance_Milcom06_1294.pdf

Experiences Parallelizing a Commercial Network Simulator, Hao Wu; Fujimoto, R.M.; Riley, G.; Simulation Conference, 2001. Proceedings of the Winter, Volume: 2 , 2001. Page(s): 1353 -1360 vol.2
dis_com.pdf