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Discover Ludwig"memory platform" is a correct and usable phrase in written English
It is used to refer to a computing system designed to store data for quick access. For example, "This company relies on a powerful memory platform to store all its customer data."
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Fig. 9 Simulation of resampling with typical requirement memory platform Fig. 10 Simulation of resampling with low requirement memory platform.
Fig. 11 Simulation number of particles with typical requirement memory platform Fig. 12 Simulation number of particleswith low requirement memory platform Fig. 13 Simulation with typical requirement memory platform (left) and low requirement memory platform (right) Fig. 14 Simulation with typical requirement memory platform (left) and low requirement memory platform (right).
Fig. 5 Simulation of RMSE with typical requirement memory platform; the AMSSDR and rounding copy resampling have a common type of RMSE Fig. 6 Simulation of RMSE with low requirement memory platform; The AMSSDR and systematic resampling have same common of RMSE.
Fig. 7 Simulation with typical requirement memory platform; the AMSSDR and rounding copy resampling have a common type of sample size Fig. 8 Simulation with low requirement memory platform; the AMSSDR and systematic resampling have a common type of sample size.
A cost-effective solution to this problem is the application of parallel discrete-event simulation (PDES) algorithms on a distributed memory platform such as a cluster of workstations.
The parallelization is designed by a row and column block domain decomposition technique using a distributed memory platform with Message Passing Interface (MPI).
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In this work, we showed good results when mapping our BSP/CGM algorithms to shared memory platforms.
The lightweight parallel execution layer (LPEL) [24] is an execution layer that supports stream programs on shared memory platforms.
It is well known that this model is suitable for designing parallel algorithms for distributed memory platforms.
SAVR is portable across platforms and has been parallelized to run on both shared and distributed memory platforms.
The solver is parallelized for distributed memory platforms using domain decomposition and message passing interface (MPI) and salient features of the parallel algorithm are presented.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com