Publications by authors named "Robert Kleijnen"
Article Synopsis
- The research explores how the brain processes information through complex and large network models, highlighting the need for efficient simulation platforms to handle increased network sizes and low-latency communication.
- Two simulation frameworks are introduced, integrating network-on-chip simulators with the NEST environment to analyze network traffic based on specific neural network models and yield valuable statistics on latency.
- Results show that a particular framework with a tree-based multicast feature provides optimal performance, although some results may be influenced by the assumptions in network-on-chip simulations.
Simulations are a powerful tool to explore the design space of hardware systems, offering the flexibility to analyze different designs by simply changing parameters within the simulator setup. A precondition for the effectiveness of this methodology is that the simulation results accurately represent the real system. In a previous study, we introduced a simulator specifically designed to estimate the network load and latency to be observed on the connections in neuromorphic computing (NC) systems.
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