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Figure 12 and Tables 10 and 11 present the speedups relative to the sequential and parallel implementation executed in the same platform.
The first implementation runs on a shared memory computer, the second one on a distributed memory computer, and the last one is a hybrid implementation executed on a distributed system in which each node is a shared memory multiprocessor.
This research looks at a vectorised dynamic relaxation implementation, executed on a graphics card's processing unit (GPU) for the most computationally demanding calculations, and compared to traditional computations on the central processing unit (CPU), to determine if time savings can be found with the change in processor type.
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The implementation executes the tempo calculation in two steps: first, the so called "tatum" tempo is searched.
In this paper we compare achieved performance results of various JPEG 2000 implementations executed on selected architectures for different data sets to identify possible bottlenecks.
The final optimized implementation executes the algorithm on TI IPNC DM368 DSP-based camera.
In addition, the framework used for this implementation executes a task when the data dependencies are satisfied and computational resources are available.
On a Tesla K20, our GPU implementation executes over one billion trial moves per second, which is 148 times faster than on a single Intel Xeon E5540 CPU core, enables 27 times better performance per dollar, and cuts energy usage by a factor of 13.
This implementation was executed in all platforms.
The OpenMP implementation was executed in all platforms.
The interventions comprised of five cyclical implementation steps executed for nearly a year.
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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