scispace - formally typeset
G

G. Barrand

Researcher at University of Paris-Sud

Publications -  6
Citations -  27253

G. Barrand is an academic researcher from University of Paris-Sud. The author has contributed to research in topics: External Data Representation & Information visualization. The author has an hindex of 4, co-authored 6 publications receiving 23022 citations.

Papers
More filters
Journal ArticleDOI

Geant4—a simulation toolkit

S. Agostinelli, +126 more
TL;DR: The Gelfant 4 toolkit as discussed by the authors is a toolkit for simulating the passage of particles through matter, including a complete range of functionality including tracking, geometry, physics models and hits.
Journal ArticleDOI

Geant4 developments and applications

TL;DR: GeGeant4 as mentioned in this paper is a software toolkit for the simulation of the passage of particles through matter, it is used by a large number of experiments and projects in a variety of application domains, including high energy physics, astrophysics and space science, medical physics and radiation protection.
Journal ArticleDOI

Recent developments in GEANT4

John Allison, +102 more
TL;DR: Geant4 as discussed by the authors is a software toolkit for the simulation of the passage of particles through matter, which is used by a large number of experiments and projects in a variety of application domains, including high energy physics, astrophysics and space science, medical physics and radiation protection.
Journal ArticleDOI

The Geant4 Visualisation System

TL;DR: The Geant4 Visualization System is a multi-driver graphics system designed to serve the Geant2 Simulation Toolkit and makes use of an extendable class library of models and filters for data representation and selection.
Proceedings ArticleDOI

Extending Geant4 Parallelism with external libraries (MPI, TBB) and its use on HPC resources

TL;DR: The emergence of multi-and many-core processors has been a well-established trend in the chip-making industry during the past decade as mentioned in this paper, and while this paradigm guarantees the continued increase of CPU performance, it requires some adaptation of existing code in order to better utilize these architectures.