For organizations
Create one governed application service for laboratories, engineering groups, and teaching environments on infrastructure your organization controls.
Software Marketplace
Geant4
High-Energy Physics
Available on request
Monte-Carlo simulation of particle transport through matter, multithreaded within a node or distributed with MPI across nodes for detector design, dosimetry, and medical physics.
Multithreaded
MPI
Grouped simulations
A managed scientific-software service for your organization
Provide research and engineering teams with approved applications and reproducible execution without asking them or your infrastructure team to maintain every software stack.
What your users can do
Choose an available application, configure a simulation, submit and track the run, review logs and status, and retrieve the recorded results.
What your infrastructure team gets
Control approved applications and versions, licensing integration, access, resource quotas, execution policies, data location, and run history.
How WECORE deploys and operates it
We package and validate applications, deploy the service on your OpenStack infrastructure, integrate licenses where required, and provide ongoing operations.
Overview
Understanding Geant4.
Geant4 is a toolkit for simulating particles passing through matter, developed by the international Geant4 Collaboration.
It is a library you link into an application rather than a program you run. You describe a geometry, a set of physics processes, and a primary generator, and the toolkit transports particles through it.
Use cases
What people run it for.
Detector design and response studies
Model detector geometries and study their response in high-energy and nuclear physics before committing to hardware.
Radiotherapy dose calculation
Compute dose distributions for radiotherapy and other medical-physics work with full Monte-Carlo particle transport.
Radiation shielding and space environments
Evaluate shielding designs and radiation environments, from facilities to spacecraft.
Imaging-system modeling
Model imaging systems from the source through to the detector response.
Run modes
How the application runs in a managed environment.
Managed batch execution
Grouped simulations for statistical samples
Monte-Carlo histories are independent, so the platform can spread the same simulation across many nodes with different random seeds and combine the results at the end.
Managed batch execution
Multithreaded within a node, MPI across nodes
Geant4's multithreaded mode uses the cores within a node for one simulation; MPI can distribute a simulation that must span nodes.
Available on request
Run scientific software without managing the cluster.
Tell us which scientific application you need and how you plan to use it.