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The proposed CPSO is population based and easy to implement in parallel.
Here we propose a fast, conservative, directionally-split, semi-implicit method which is second order accurate in space, is stable for large timesteps, and is easy to implement in parallel.
Perhaps the simplest type of operation to implement in parallel involves applying an element-wise operation14.
This operation, which is difficult to implement in parallel, is accomplished using the Gram-Schmidt method for orthogonalization.
It should be evident that operations that involve two inputs and a single output (e.g., element-wise sum or difference) are similarly easy to implement in parallel and involves no data movement between processors.
Similar(55)
The algorithm can be easily implemented in parallel or distributed systems.
Because the prediction procedure is data independent for each basis particle, the MP operation can be easily implemented in parallel.
The MP framework increases the prediction computation, and this computation can be easily implemented in parallel due to its data independent feature.
Our method is implemented in parallel and the current implementation is able to handle systems with at least thousands of atoms.
The KTRM is implemented in parallel.
Therefore, this scheme can be naturally implemented in parallel.
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