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EDEM Simulator
EDEM Simulator is a powerful solver used for fast and efficient simulations.
Select the EDEM Simulator Engine
You can run a simulation in CPU or GPU engine mode. However, the GPU mode requires supported GPU hardware.
GPU CUDA Solver
The GPU engine supports both the CPU and GPU. Four CPU cores are recommended as the optimal value when using GPU to balance speed and CPU usage.

Welcome
What's New
New features and enhancements available in EDEM.
Release Notes
This document contains information about the EDEM release, such as key features and enhancements, bug fixes, and known issues.
About EDEM
EDEM is a high-performance simulation software for bulk and granular materials.
Get Started with EDEM
The EDEM user interface comprises three icons for each simulation component - Creator, Simulator, and Analyst.
EDEM Creator
EDEM Creator is the pre-processor for creating an EDEM simulation model, including setting up equipment and defining the generation of bulk materials.
EDEM Simulator
EDEM Simulator is a powerful solver used for fast and efficient simulations.
- Set Simulator Parameters
  You can set simulation parameters such as the Time Step, simulation time, grid options, and Simulator Engine for the CPU mode, along with the GPU parameters.
- Start and Stop a Simulation
  The current simulation time along with all the previous time steps are displayed in the Viewer Controls pane.
- Dynamic Domain
  When you define a Geometry object as a Dynamic Domain, all material inside the object will be active, and EDEM excludes any stationary material outside the object from any calculations, therefore, improving simulation speed. Dynamic Domain is based on the method outlined in Mio et al., 2009.
- Select the EDEM Simulator Engine
  You can run a simulation in CPU or GPU engine mode. However, the GPU mode requires supported GPU hardware.
  - Check CUDA GPU Compatibility
    You can check CUDA GPU compatibility by running a hardware test.
  - GPU CUDA Solver
    The GPU engine supports both the CPU and GPU. Four CPU cores are recommended as the optimal value when using GPU to balance speed and CPU usage.
  - Configure CUDA GPU Solver Advanced Settings
    You can configure advanced settings within GPU specific to the CUDA solver. These settings allow the customization of Particle-Geometry and Particle-Particle overlap calculations.
- Run EDEM in Batch Mode
  EDEM's Command Line Interface allows you to run EDEM in batch mode without using the GUI.
- Reduce Simulation Time
  The time taken by the Simulator to perform a single iteration, t_iteration, is affected quite significantly by the simulation parameters.
EDEM Analyst
EDEM Analyst is the post-processor used to analyze and visualize the results of your simulation.
EDEM Contact Models
A Contact Model describes how elements behave when they come into contact with each other.
EDEM Cal Utility
EDEM Cal is a utility which works with EDEM and is designed to assist in performing calibration.
GPU CUDA Guide
The EDEM CUDA GPU module uses the latest General Purpose Computing on Graphical Processing Units (GPU) technology.
Programming Guide
The EDEM Programming Guide describes the EDEM API.
Coupling Interface Programming Guide
The Coupling Interface Programming Guide provides an overview of how to use the EDEM Coupling Interface to couple with a generic CFD code and/or Multi Body dynamics codes.
EDEMpy
EDEMpy is a Python library for accessing EDEM data from .h5 files (the underlying EDEM file format). EDEMpy does not require prior knowledge of advanced programming.
EDEM Solver Capabilities
EDEM contains four solver engines.
Appendix
This section provides additional information about how to estimate simulation time, supported EDEM File types, attribute definitions, and so on.
EDEM Terminology
Definitions of terms used in EDEM.
References and Bibliography
This section cites the contributions made by various authors and sources that have been used as reference material for EDEM, and the specifics of how they have been applied can be found in the individual contact model sections.

GPU CUDA Solver

The GPU engine supports both the CPU and GPU. Four CPU cores are recommended as the optimal value when using GPU to balance speed and CPU usage.

To select the GPU solver:

Select the GPU Solver engine, and specify the following details:


For	Specify
Number of GPU devices	Indicates the number of GPU devices available on the installed GPU hardware, and cannot be modified.

Note: The definition of Compute Unit depends on the GPU manufacturer. A Compute Unit is a Stream Multiprocessor for an NVidia GPU or a SIMD engine in an AMD GPU. For Nvidia, each stream multiprocessor has a certain number of processing elements or what Nvidia refers to as CUDA cores. Generally, the more the processing elements, the faster the GPU card.