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The algorithm presented is optimized for multi-threaded computer architectures and also uses data structures that leave a small memory footprint making it suitable for use with large virtual environments (defined by, e.g., millions or billions of points or triangles).
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Moreover, it is characterized by a small memory and disk footprint making it suitable for a wide rage of networking devices.
Evaluations demonstrate that MARCHES is robust, scalable and generates a small memory footprint, which makes it suitable for supporting DRE systems.
The deliberately light environmental footprint makes repairs relatively easy.
The fest footprint made for slogs between stages.
A small footprint makes for a small target.
However, we found that the footprint made by the successive 99% confidence radii was usually larger than the footprint made by the random walks (Fig. 2e).
This feature is not only useful in reducing the memory footprint of the process but also makes it well suited to distributing out to a cloud of computer nodes if needed.
Our design goals are to reduce the memory footprint and remote method invocation overhead of the middleware and make it support group communication that is often needed in embedded control systems.
As a result, network services are simpler and have a small memory footprint.
Baseline and proposed approaches have the same memory footprint when there are compared.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com