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We particularly focus on research directions in machine architectures, programming interfaces, and parallelization methodologies.
We examine the performance of existing solutions using multiple machine architectures.
Many different Parallel kinematic machine architectures have been proposed, but few have actually been used in production environments.
The value of running the software on many different machine architectures tips the balance in the other direction.
In some machine architectures, the latter problem can be formulated as the well known NP-hard quadratic assignment problem (QAP).
New machine architectures were born during these last years pushed by industrial exigencies in terms of productivity.
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With the use of a machine architecture suited to these material properties, ultrafast optical processors are possible.
However, a connectionist network can implement a classical Turing machine architecture (see, e.g., Fodor and McLaughlin 1990; Chalmers 1993).
Apple switched to Intel processors in 2006, meaning newer software had to be written for a completely different machine architecture.
We describe the parallel machine architecture; we give an overview about the multi-core C6678 DSP and its evaluation module.
The relative performance of different parallel implementations varies with machine architecture, system and problem size.
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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