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Hamidreza Norouzi 2023-09-28 23:30:50 +03:30 committed by GitHub
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**MPI** parallelization with dynamic load balancing is under development. With this level of parallelization, PhasicFlow can leverage the computational power of **multi-gpu** workstations or clusters with distributed memory CPUs. **MPI** parallelization with dynamic load balancing is under development. With this level of parallelization, PhasicFlow can leverage the computational power of **multi-gpu** workstations or clusters with distributed memory CPUs.
In summary PhasicFlow can have 6 execution modes: In summary PhasicFlow can have 6 execution modes:
1. Serial on a single CPU, 1. Serial on a single CPU core,
2. Parallel on a multi-core computer/node (using OpenMP), 2. Parallel on a multi-core computer/node (using OpenMP),
3. Parallel on an nvidia-GPU (using Cuda), 3. Parallel on an nvidia-GPU (using Cuda),
4. Parallel on distributed memory workstation (Using MPI) 4. Parallel on distributed memory workstation (Using MPI)