Optimal performance of electromagnetic simulation requires powerful hardware — a CPU with high clock speed and sufficient core count, a powerful workstation GPU, and fast RAM. However, simple analyses and pre-/post-processing can be done on more modest machines, such as laptops with mobile Quadro graphics.
|Minimum requirement||High end server/ workstation recommendation||Notes for recommended hardware|
|Processor||Intel x86-64 processor||Dual Intel Xeon Scalable (also known as “Skylake” ) processor||We recommend high processor base clock frequency (>3 GHz) and 8-10 cores per CPU for general-purpose simulation workstation|
|Memory (RAM)||16GB||32– 64 GB per CPU||We recommend fastest RAM memory modules available, currently DDR4-2666|
|Graphics card||100% OpenGL compatible graphics card||NVIDIA Quadro series card dedicated to CAD/CAE applications|
|Storage||30GB of free disk space||At least 500GB hard disk drive||SSDs may be used, but are not necessary for good simulation performance|
|GPU computing (optional)||Supported GPU card||High-end NVIDIA Quadro or Tesla card|
|MPI computing (optional)||Dedicated compute cluster hardware||Fast network interconnects with low latency, e.g. Infiniband or Intel OmniPath, are strongly recommended.|
|Distributed computing (optional)||For optimal simulation performance, the solver servers should run on separate computers from the frontend and the main controller. A fast network connection between the solvers servers, the main controller, and the frontend is recommended as simulations may generate a lot of data that needs to be transferred.|
Minimum requirement: Intel x86-64 CPU
We recommend the latest Intel Xeon processors in a dual socket configuration for a high-end workstation or server configuration. For fast performance, a base frequency greater than 3 GHz is recommended. Please note that the processor’s turbo frequency cannot usually be used for long periods due to electrical and thermal limits, so for general performance and for long simulation times the base frequency gives a more realistic performance expectation.
We also recommend 8-10 cores per CPU for a general-purpose simulation workstation. It is in general advisable to have a high processor base frequency rather than a large amount of cores. The performance scaling as a function of number of cores depends on the used solver technology, the simulation model, and other factors.
For some applications and solver technologies, a high amount of processor cores and more than two processors may be a good option to obtain better performance. If you are planning a large hardware investment in high-end HPC hardware like a cluster system or a system with more than two CPU sockets, we recommend that you contact our technical support team directly so that we can help you during the configuration process.
A single processor system with a high base clock frequency may also deliver sufficient simulation performance for many applications. We recommend the Intel Xeon W processors for such lower end workstations. The above advice is also valid for such configurations.
Minimum requirement: At least 16 GB for a typical simulation workstation
Simulation memory requirement is highly application and solver technology dependent. For a high-end workstation or server system, we recommend at least 32-64 GB RAM per CPU depending on the complexity of your application and the used solver technology. We recommend the fastest RAM memory modules available, currently DDR4-2666.
For Intel Xeon Scalable processors the memory modules should be arranged in multiples of six (6 modules, 12 modules, etc.) per processor socket to fully utilize the available memory channel bandwidth. A high memory channel bandwidth is essential to obtain the best possible performance for many of the CST solvers. The maximum memory channel bandwidth depends on the number of RAM modules as well as the type of the modules. Please ask your hardware vendor to provide you with a configuration that achieves the best possible memory channel bandwidth.
Minimum requirement: 100% OpenGL compatible graphics card
For the best performance of the 3D modeling and post-processing interface, we recommend a fast 3D graphics card. The NVIDIA Quadro-series graphics cards are well tested with CST Studio Suite and we recommend using a card of this series that is dedicated to CAD/CAE applications.
Minimum requirement: 30GB of free disk space for the installation of CST Studio Suite.
The base installation of CST Studio Suite requires approximately 7GB of disk space while additional space is required for the installation of the service packs and other CST programs and tools.
Simulations may generate a lot of data, so sufficient storage space should be ensured. We recommend at least a 500 GB hard disk drive for a typical simulation workstation. You may use SSDs for storage, but they are not necessary for good simulation performance.
Minimum requirement: A supported GPU card
Some CST Studio Suite solvers support GPU computing with NVIDIA Tesla and Quadro GPU devices using a minimum of CUDA version 8.0. The high memory bandwidth and parallel processing abilities of GPU cards provide a significant simulation speed-up compared to CPU computing alone. Options are available for server-class and workstation configurations. Please see the GPU Computing Guide for a list of supported GPU devices as well as information about the requirements that the host system must fulfill.
Some CST Studio Suite solvers support MPI computing. It typically requires dedicated compute cluster hardware (e.g. InfiniBand or Intel OmniPath network interconnects).
If you are planning a large hardware investment in high-end HPC hardware like a cluster system, we strongly recommend that you contact us directly so that we can help you during the configuration process. Please see the MPI computing guide for more details on how MPI works with CST Studio Suite.
Distributed computing divides the simulation workload across three different components: frontend, main controller, and one or more solver servers. For optimal simulation performance, the solver servers should run on separate computers from the frontend and the main controller. A fast network connection between the solvers servers, the main controller, and the frontend is recommended as simulations may generate a lot of data that needs to be transferred.
For solver server computers the above advice for hardware configuration is valid, as they run the most resource intensive part of the simulation. The frontend is used mainly for post-processing and graphical analysis of the results, so it does not require powerful hardware. The main controller maintains a simple job queue and transfers simulation data from the solver servers to the frontend, so it also does not require powerful hardware.
Minimum requirement: A supported 64-bit operating system
We support the latest 64-bit Microsoft Windows operating systems as well the latest 64-bit Red Hat Enterprise Linux and Suse Linux Enterprise versions. Please note that there are some limitations when running CST Studio Suite or other CST tools on Linux, i.e. not all solvers and modules are supported. For more information, please refer to the supported operating systems document.
The following system configurations provide examples of low-end and high-end workstations that are suited to EM simulations using CST STUDIO SUITE.
Low-End Configuration (Laptop):
- Windows 10
- Intel Core i7, e.g. i7-7700HQ
- 100% OpenGL compatible graphics hardware, e.g. Quadro M1200
- 16GB Memory
- 512GB HD/SSD
Note that this configuration is not expected to deliver ideal performance for most practical use-cases. This configuration is appropriate for simple simulations, post-processing calculations and graphical rendering purposes.
High-End Configuration (Workstation):
- Windows 10
- Dual Intel Xeon Gold 6144, 8 cores per processor, 3.5 GHz base clock
- GPU acceleration: NVIDIA Quadro GP100 (16GB RAM)
- Graphics: 100% OpenGL compatible graphics hardware, e.g. Quadro P1000
- 96 GB (12 x 8GB DIMMs) DDR4-2666 RAM
- 1TB SATA HD
- SSD boot drive
If a system is used only for results post-processing and analysis, e.g. for distributed computing frontend, then it does not need powerful hardware. A powerful graphics card and enough disk space for storing the results are usually sufficient.
If you have further questions, our technical support engineers are available to review your desired hardware configuration and provide you with feedback and suggestions to improve it.
NOTE: CST and CATI assume no liability for any problems caused by this hardware recommendation.
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