Speaker
Mr
Jérémie Farret
(Parallel Geometry Inc)
Description
LLG Python defines a Python based programming paradigm for a new generation of
geometric simulation, able to unify volumic data representation and processing for
real time applications. It unifies in particular geometric and graphic pipelines,
replacing parametric and polygonal surfaces with descriptive polynomials for
generalized algebraic surfaces.
This approach virtually enables scientific simulation interoperability for domains as
various as robotics, GIS and territorial simulation, aeronautics or naval simulation.
LLG Python’s high performance, Parallel Geometric Computing environment enables
universal 3D programming to bring an answer current simulation challenges and
limitations.
Summary
I – LLG Python for Geometric Programming
A – A polynomial based approach
B – Development methodology: From algorithms to C through Python
1 – Algorithmic phase
2 – Python phase
3 – C phase
C – Geometric Computing
1 – Projective geometry
2 – Unconditional programming
II – LLG Python as a Simulation Environment
A – Core principles
1 – Functional architecture
2 – Systems architecture and Parallel Processing
B – Simulation Applications
1 – Mathematical surfaces
2 – Molecular simulation
3 – Content Management Systems and Geometrography
4 – Robotics
5 – Safety and security simulations
6 – Aeronautic and naval simulation
Primary authors
Dr
Jean-François Rotge
(Parallel Geometry Inc)
Mr
Jérémie Farret
(Parallel Geometry Inc)
