& Construction
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Integrated BIM tools, including Revit, AutoCAD, and Civil 3D
& Manufacturing
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Professional CAD/CAM tools built on Inventor and AutoCAD
Transcript
00:03
Hardware requirements vary, depending on which components a user will be running on their machine
00:09
and the type of simulations they will be running.
00:12
It is important to understand these factors before deciding on hardware.
00:16
See the Autodesk online “System requirements for InfoWorks ICM” page as a general guide.
00:23
The exact specification will depend on your own suppliers, availability, and budget.
00:29
A standard Windows 10 or 11 laptop or desktop machine would be sufficient to run the ICM Workgroup Client.
00:36
The Agent’s simulation functionality benefits the most from high-performance hardware.
00:42
In a multi-user environment, you can dedicate specialized simulation machines.
00:47
When choosing your hardware, it helps to understand the requirements for different model types.
00:53
For 1D simulations, performance depends primarily on the clock speed of the processor.
00:58
Memory and disc performance also contribute.
01:02
They become more important as the number of simulations running concurrently increases.
01:08
For CPU Cores, ICM allows you to run multiple simulations concurrently on a single machine.
01:15
This can be adjusted in the Agent Manager, from the Agent Options dialog.
01:20
On the graph is an example of a single simulation run on a different number of cores.
01:25
Here, you can see a reasonable improvement in speed from two to four cores, but less of an improvement beyond.
01:33
As a general rule of thumb, individual simulations perform well with four cores or threads.
01:39
Therefore, for a 12-core CPU, you can plan to run three simulations concurrently.
01:45
This can give a good balance between individual simulation performance and total simulation throughput.
01:51
However, each model will differ, and you should optimize your system for the models you will be working on.
01:58
For 2D simulations containing hundreds of thousands or millions of elements,
02:03
performance is improved with a graphics card that has good single-precision performance.
02:08
Memory bandwidth and size are also important in 2D simulations, as memory size determines the maximum size of a model.
02:16
All NVidia CUDA enabled GPUs with a compute level of 3.5 or higher are currently supported for 2D calculations.
02:25
Models containing both 1D and 2D objects will require performance CPU and GPU hardware.
02:33
As an example of GPU acceleration, a two-hour simulation was run with rainfall applied directly to 100% of the mesh.
02:42
With a GPU simulation, the 2D part of the calculation time improved from hours to minutes.
02:48
When simulating on the Cloud, the hardware is selected from the available machine catalogue,
02:53
based on the composition of the model and compatibility, to optimize performance.
02:59
For storage, simulation results may require terabytes of data,
03:03
and therefore benefit from high-performance drives.
03:06
Solid state drives are recommended especially for locations that will be directly accessed, such as the results location.
03:14
If you are using centralized storage, it is recommended that the environment is easily scalable to cope with any increase in demand.
03:22
For networks, the connection speed will play a vital role.
03:26
ICM can place a high burden on the network when transferring large models and results files.
03:32
Ensuring connection stability and bandwidth amongst the components is essential to avoiding poor performance and user issues.
00:03
Hardware requirements vary, depending on which components a user will be running on their machine
00:09
and the type of simulations they will be running.
00:12
It is important to understand these factors before deciding on hardware.
00:16
See the Autodesk online “System requirements for InfoWorks ICM” page as a general guide.
00:23
The exact specification will depend on your own suppliers, availability, and budget.
00:29
A standard Windows 10 or 11 laptop or desktop machine would be sufficient to run the ICM Workgroup Client.
00:36
The Agent’s simulation functionality benefits the most from high-performance hardware.
00:42
In a multi-user environment, you can dedicate specialized simulation machines.
00:47
When choosing your hardware, it helps to understand the requirements for different model types.
00:53
For 1D simulations, performance depends primarily on the clock speed of the processor.
00:58
Memory and disc performance also contribute.
01:02
They become more important as the number of simulations running concurrently increases.
01:08
For CPU Cores, ICM allows you to run multiple simulations concurrently on a single machine.
01:15
This can be adjusted in the Agent Manager, from the Agent Options dialog.
01:20
On the graph is an example of a single simulation run on a different number of cores.
01:25
Here, you can see a reasonable improvement in speed from two to four cores, but less of an improvement beyond.
01:33
As a general rule of thumb, individual simulations perform well with four cores or threads.
01:39
Therefore, for a 12-core CPU, you can plan to run three simulations concurrently.
01:45
This can give a good balance between individual simulation performance and total simulation throughput.
01:51
However, each model will differ, and you should optimize your system for the models you will be working on.
01:58
For 2D simulations containing hundreds of thousands or millions of elements,
02:03
performance is improved with a graphics card that has good single-precision performance.
02:08
Memory bandwidth and size are also important in 2D simulations, as memory size determines the maximum size of a model.
02:16
All NVidia CUDA enabled GPUs with a compute level of 3.5 or higher are currently supported for 2D calculations.
02:25
Models containing both 1D and 2D objects will require performance CPU and GPU hardware.
02:33
As an example of GPU acceleration, a two-hour simulation was run with rainfall applied directly to 100% of the mesh.
02:42
With a GPU simulation, the 2D part of the calculation time improved from hours to minutes.
02:48
When simulating on the Cloud, the hardware is selected from the available machine catalogue,
02:53
based on the composition of the model and compatibility, to optimize performance.
02:59
For storage, simulation results may require terabytes of data,
03:03
and therefore benefit from high-performance drives.
03:06
Solid state drives are recommended especially for locations that will be directly accessed, such as the results location.
03:14
If you are using centralized storage, it is recommended that the environment is easily scalable to cope with any increase in demand.
03:22
For networks, the connection speed will play a vital role.
03:26
ICM can place a high burden on the network when transferring large models and results files.
03:32
Ensuring connection stability and bandwidth amongst the components is essential to avoiding poor performance and user issues.
Required for course completion
Hardware requirements vary, depending on the components and types of simulations being run on a machine.
See the Autodesk support page System Requirements for InfoWorks ICM as a general guide.
Windows 10 or 11 laptop or desktop machine can run the ICM Workgroup Client. In a multi-user environment, you can dedicate specialized simulation machines.
Performance depends primarily on the clock speed of the processor. Memory and disc performance also contribute and become more important as the number of simulations running concurrently increases.
Can run multiple simulations concurrently on a single machine. This can be adjusted in the Agent Manager, from the Agent Options dialog.
In this graph of a single simulation run on a different number of cores, you see a reasonable improvement in speed from two to four cores, but less after that:
Individual simulations perform well with four cores or threads, meaning that 12-core CPUs can handle running three simulations concurrently.
Can contain hundreds of thousands or millions of elements.
Performance is improved with graphics card with good single-precision performance.
Memory bandwidth and size are also important—determines maximum size of the model.
NVidia CUDA enabled GPUs with a compute level of 3.5 or higher are currently supported for 2D calculations.
Models with 1D and 2D objects require performance CPU and GPU hardware.
GPU hardware can significantly decrease calculation time (from hours to minutes).
When simulating on the Cloud, hardware is selected from available machine catalogue, based on composition of the model and compatibility, to optimize performance.
Simulation results may require terabytes of data.
Solid state drives are recommended, especially for locations that will be directly accessed.
If centralized storage is used, it is recommended that the environment be easily scalable to cope with demand increases.
Vital for networks.
ICM can place a high burden on the network when transferring large models and results.
Ensuring connection stability and bandwidth amongst the components is essential to avoiding poor performance and user issues.