
Three scenarios outlined here show the benefits of using a computer system with multiple GPUs in theoretical neuroscience. In each instance, it's clear that the GPU speedup considerably helps answer a scientific or technological question.
Brain modeling, GPUs, Numerical models, computer system, Computational modeling, [MATH.MATH-GM] Mathematics [math]/General Mathematics [math.GM], GPU computing, neuroscience, Mathematical model, scientific computing, graphics processing units, Computational neuroscience, parallel and vector implementations, Visualization
Brain modeling, GPUs, Numerical models, computer system, Computational modeling, [MATH.MATH-GM] Mathematics [math]/General Mathematics [math.GM], GPU computing, neuroscience, Mathematical model, scientific computing, graphics processing units, Computational neuroscience, parallel and vector implementations, Visualization
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 16 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
