Fabien Jonathan Delalondre

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The NEURON simulator has been developed over the past three decades and is widely used by neuroscientists to model the electrical activity of neuronal networks. Large network simulation projects using NEURON have supercomputer allocations that individually ...

The evaluation of small degree polynomials is critical for the computation of elementary functions. It has been extensively studied and is well documented. In this article, we evaluate existing methods for polynomial evaluation on superscalar architecture. ...

The increasing complexity and heterogeneity of extreme scale systems makes the optimization of large scale scientific applications particularly challenging. Efficiently leveraging these complex systems requires a great deal of technical expertise and a con ...

Important progress in computational sciences has been made possible recently thanks to the increasing computing power of high performance systems. Following this trend, larger scientific studies, like brain tissue simulations, will continue to grow in the ...

Fabien Jonathan Delalondre

Chattez avec Graph Search

CoreNEURON : An Optimized Compute Engine for the NEURON Simulator

Polynomial Evaluation on Superscalar Architecture, Applied to the Elementary Function e(x)

Neuromapp: A Mini-application Framework to Improve Neural Simulators

Accelerating Data Analysis in Simulation Neuroscience with Big Data Technologies