Hardware and Software Requirements
Overview of nanoFluidX hardware and software requirements.
Hardware
The hardware system that is intended to run nanoFluidX must contain a CUDA-enabled GPU with support for Compute Capability 3.5 or higher.
NVIDIA GeForce line of GPU cards are CUDA enabled. In principle these are capable of running nanoFluidX; however, Altair does not guarantee accuracy, stability and overall performance of nanoFluidX on these cards. Be aware that the current NVIDIA EULA prohibits using non-Tesla series cards as a computational resource in bundles of 4 GPU’s or more.
The code also has dynamic load-balancing ensuring optimal hardware utilization and can run on multi-node clusters, as well.
- Hardware requirements are strongly dependent on the use case. For production level industrial cases the following are suggested as minimum configuration.
- Number of CPU cores should at least equal to the number of GPU devices. Ideally, the number of CPU cores will slightly exceed the number of available GPU devices to ensure some computational overhead for system operations, and so on.
- Recommended RAM is to be at least equal to RAM of GPU’s combined.
- 3TB HDD space (long-term storage) or 500GB for operational drive.
- Common nanoFluidX output can vary from 20 to 400 GB, depending on the size of the case, desired output and frequency of the output.
- High speed interconnect for multi-node systems, for example, Infiniband.
Supported Platforms
nanoFluidX is available for most common Unix-based OS versions which include GCC and GLIBC system libraries newer than 4.8.5 and 2.17, respectively. Some OS examples with library versions are listed below.Data on library versions for GCC and GLIBC can be found at: https://distrowatch.com/
Distribution | GCC | GLIBC | nanoFluidX Support |
---|---|---|---|
RHEL 7.x | 4.8.5 | 2.17 | Yes |
CentOS 7.x | 4.8.5 | 2.17 | Yes |
RHEL 6.x | 4.3.3 | 2.12 | No |
SLES 12 SP4 | 4.8.5 | 2.22 | Yes |
SLES 11 SP4 | 4.3.4 | 2.11 | No |
Ubuntu 18.04 | 7.3.0 | 2.27 | Yes |
Ubuntu 16.04 | 5.3.1 | 2.23 | Yes |