This might be useful in situations where the simulation is getting close to the limit of memory available and the user can see the estimated memory usage. The ED EM CUDA GPU solver engine provides options for the user to review the memory settings in the Simulator > Tools > GPU Memory Calculator. The EDEM CUDA GPU solver engine will automatically allocate memory and resources as required as the simulation runs. That is it! Once the test has passed, EDEM CUDA GPU is ready to go and you can start your simulation as normal. In the event the Multi-GPU fails the test, the Multi-GPU Connectivity Test option performs a series of tests which can be used by the EDEM support team for diagnosing the issue. If running via command line the test is bypassed and if the GPU device is not compatible the simulation will not run. via a regular EDEM start of Remote Desktop connection. Note that the test has to be run when EDEM CUDA GPU is run using the GUI, i.e. The above example shows two cards having passed the CUDA GPU Device test. If it is successful, the GPU devices are ready to be selected as Simulator Engines, if not, EDEM will provide any information it has about the problem. Under Test GPU Devices, click on Start test. If there is more than 1 GPU card in the same machine the user can select which card s to use to run a simulation. Under CUDA Engine Settings select the relevant GPU devices and click on Start test. To run the test, go to Tools > Options >Simulator Engine>CUDA. ![]() The test will also ensure that the current GPU devices support compute capability 3.5 or more, which needs to be supported in order to make use of Double Precision. The device test will check the GPU compatibility and make the GPU card(s) available to the EDEM Simulator. The device test is required before running EDEM CUDA GPU on a machine for the first time. These are the steps necessary to be able to run EDEM CUDA GPU: Graphics Card Driversīefore running EDEM CUDA GPU, please make sure that the graphic card drivers installed in your machine are the latest version. It is only necessary to install a sufficiently up-to-date version of the NVIDIA driver. Note that it is not necessary to install any CUDA toolkit to run EDEM. The command line utility nvidia-smi is installed along with the NVIDIA driver can be used to check the installed driver version: ![]() This requirement may be more or less stringent than the requirement given by (2), so in general it is recommended to upgrade to the most recent driver version possible. (Software) The system must have an NVIDIA driver installed which supports the CUDA enabled GPU that is in use.(Software) The system must have an NVIDIA driver installed which supports at least version 11.0 of the CUDA toolkit.However, note that compute capability at least 6.0 is required to use the direct add feature in the advanced options. ![]() (Hardware) The system must have a CUDA enabled GPU with compute capability at least 3.5.N order to run EDEM using the CUDA solver, the user must ensure that the following 2 requirements are met: The CUDA GPU engine offers a range of precision modes including double, hybrid and single.Ī CUDA API is available and documented in the API section and the API help section available in the EDEM folders.Īs of EDEM 2018, EDEM GPU contains a fully double precision solver. The range of GPU cards available and the technology behind them is constantly changing and moving fast so if you are not sure of what hardware you need please get in touch and our engineers will be happy to talk about results from our most recent rounds of testing. The CUDA code requires compute capability of 3.5 or later and is compatible with Windows or Linux. The EDEM GPU and Multi-GPU solver engine is based on CUDA. ![]() By utilizing cutting edge Nvidia GPU cards EDEM is able to deploy contact model calculations across literally thousands of processing cores and deliver simulation results many times faster than by using traditional desktop CPUs. The EDEM GPU module makes use of the latest GPGPU technology (General Purpose computing on Graphical Processing Units).
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