Francesco Cremonesi

This person is no longer with EPFL

About
Privacy
Disclaimer

Graph Chatbot

Related publications (5)

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

Felix Schürmann, Timothée Ewart, Fabien Jonathan Delalondre, Francesco Cremonesi

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. ...

2020

Understanding Computational Costs of Cellular-Level Brain Tissue Simulations Through Analytical Performance Models

Felix Schürmann, Francesco Cremonesi

Computational modeling and simulation have become essential tools in the quest to better understand the brain's makeup and to decipher the causal interrelations of its components. The breadth of biochemical and biophysical processes and structures in the b ...

HUMANA PRESS INC2020

Analytic performance modeling and analysis of detailed neuron simulations

Felix Schürmann, Francesco Cremonesi, Gerhard Wellein

Big science initiatives are trying to reconstruct and model the brain by attempting to simulate brain tissue at larger scales and with increasingly more biological detail than previously thought possible. The exponential growth of parallel computer perform ...

2020

Computational characteristics and hardware implications of brain tissue simulations

Francesco Cremonesi

Understanding the link between the brain's anatomy and its function through computer simulations of neural tissue models is a widely used approach in computational neuroscience. This technique enables rapid prototyping and testing of hypotheses, allowing r ...

EPFL2019

Neuromapp: A Mini-application Framework to Improve Neural Simulators

Felix Schürmann, Timothée Ewart, Fabien Jonathan Delalondre, Francesco Cremonesi, Judit Planas Carbonell

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 ...

Springer International Publishing2017

Page 1 of 1