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Passive implementations to achieve load alleviation through morphing result in lighter and simpler designs in comparison to actively actuated solutions.
However, the computational cost associated to its voting scheme has prevented software implementations to achieve real-time performance, except for very small images.
In addition to using this context knowledge, we design tensor data-structures, tensor algebra interfaces, and new tensor contraction algorithms and implementations to achieve 90+% of a theoretically derived peak on GPUs.
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In "Implementation" Section, we show the implementation to achieve real-time whole-body motion.
The third is completely implemented on the FPGA and optimized for an FPGA implementation to achieve the highest performance for high resolution images (1920×1080).
As the spanning tree problem is notoriously hard for any parallel implementation to achieve reasonable speedup, our study may shed new light on implementing PRAM algorithms for shared-memory parallel computers.
One practical implementation to achieve this is the use of a factored language model (FLM).
The Energy Cost Statistics and Green Strategies modules require implementation to achieve the functionality of a distributed green compiler.
Based on an industrial application1, and inspired by this approach, an implementation to achieve the manufacturing control is proposed.
Our cross-country analysis highlights the importance of robust program design and implementation to achieve the intended results.
Approximate computing relaxes the exact equivalence between the design specifications and the design implementation to achieve Speed-Power-Accuracy-Area (SPAA) trade-off.
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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