High Performance Computing & GPU Simulations

Leveraging massive computational power and CUDA-driven architectures to push the boundaries of data processing and real-time complex systems modeling.

SDEGnO

Optimization and performance testing of CUDA-(multi)GPU-accelerated codes for the automatic parameterization of physical models.

cupSODA

A CUDA-powered, coarse-grain deterministic simulator for mass-action kinetics models in systems biology.

cuTauLeaping

A GPU-powered tau-leaping stochastic simulator for massive parallel analyses of mass-action kinetics models.

ginSODA

A Python API for the massively parallel, GPU-powered simulation of stiff Ordinary Differential Equation (ODE) models.

HERESY

A Highly Efficient REaction SYstem simulator equipped with a graphical user interface and GPU-accelerated computation.

Active Research Area

We are currently finalizing the digital portfolio for this research pillar. More detailed project descriptions, datasets, and software repositories will be published here soon.