Jul 3 – 5, 2006
CERN, Geneva
Europe/Zurich timezone

LLG Python: A Python based approach for high performance Parallel Geometric Computing

Jul 4, 2006, 11:00 AM
40-SS-D01 (CERN, Geneva)


CERN, Geneva

Python in Science Python in Science


Mr Jérémie Farret (Parallel Geometry Inc)


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.


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)

Presentation materials

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