Hardware Guidelines and Recommendations for FEM Solver in MATLAB

Hardware requirements for the IDMF PDE solvers vary significantly depending on the complexity of the problem. Here are some general guidelines and considerations for hardware requirements:

Operating Systems

CPU

• Core Count:

  IDMF benefits significantly from a higher number of CPU cores due to OpenMP-based parallelization.

• Hyperthreading:

  Enabling hyperthreading can provide a noticeable performance boost by allowing more threads to run concurrently, effectively increasing the computational throughput.

• Non-concurrent execution:

  For optimal performance, run only a single instance of IDMF at a time. Concurrent execution may cause resource contention and reduced performance.

Memory

• Sufficient physical memory:

  Ensure your system has enough physical memory to solve the PDE problem and prevent performance degradation due to swapping or out-of-memory errors

By adhering to these hardware recommendations and configuration guidelines, users can ensure optimal performance.