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Our approach is based on partitioning the training set across multiple processors using a parallel virtual machine.
The BLAST comparisons are performed in parallel on multiple processors using the blastn program of mpiBLAST [ 18].
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Contrasting the performance of multicore and many-core processors, using multiple datasets of different sizes, highlights the advantages and disadvantages of each architecture as applicable to MCPSC.
This chapter focuses on systems in which multiple processors are used for distributed control of real-time events.
First, as its capability to be processed block by block means that it is suitable for parallel processing, improving the speed when multiple processors are used.
Computers with multiple processor cores using shared memory are now ubiquitous.
SPEX [9] is another language developed to specify SDR PHYs on single instruction multiple data (SIMD) processor using vector data type such as Matlab and also data type borrowed from SystemC.
However, as reported by the authors, the execution presented in the article was performed in desktop machines with multiple processors instead of using HPC environments such as grids or clusters.
Multiple processors might be used in a project for a number of reasons.
If available, multiple processors can be used to reduce run-time.
Modern instruction-level parallel (ILP) processors use superscalar architectures with deep pipelines in order to execute multiple instructions per cycle.
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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