Scientists Built a GPU Engine That Simulates Brain Cells 1,500× Faster

Researchers created DeepDendrite, a GPU-powered framework that dramatically speeds up simulations of biologically detailed brain neurons. Using a new algorithm called Dendritic Hierarchical Scheduling (DHS), it solves the main computational bottleneck in neuron modeling and runs up to 1,500× faster than traditional CPU methods. The system enables simulations of neurons with tens of thousands of synapses and could help build more brain-like AI systems.