Abstract
Nowadays, the general-purpose computing on graphical processing units (GPGPU) technique is widely accepted as a new paradigm of High Performance Computing for improving the performance of simulations, such as large-scale neuronal simulations. In this work we will develop an algorithm for solving a large sets of linear systems, each representing a single neuron, using GPUs. We will incorpo…