![PDF] Cluster-Scheduling Big Graph Traversal Task for Parallel Processing in Heterogeneous Cloud Based on DAG Transformation | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/92a53188105738f441d8a29f6ae1484bfab6d06b/3-Figure1-1.png)
Large neural tissue models require the power of multiple computers to simulate with a practical turnaround time. All over the model, neurons communicate with each other through a tight network of synapses. However, inter-machine communication is slow, which limits the performance gains and scalability. Work in this topic involves exploring algorithms that distribute large neural networks among nodes in a computer cluster to minimise inter-node communication bandwidth and delays, and measuring the actual impact of these strategies on simulation speed.