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Results aim to demonstrate that an optimized implementation of the algorithm, resulting from an optimization methodology, can help to design embedded systems implementing low-cost multiprocessor architecture operating under real-time constraints.
In this paper, we propose an optimized implementation of GSS.
In this study, we present an optimized implementation of this operator on Nvidia GPUs based on two blocking strategies.
Current rare variant detection algorithms using next generation DNA sequencing are limited by inherent sequencing error rate and platform availability.Here we describe an optimized implementation of a rare variant detection algorithm called RVD for use in targeted gene resequencing.
To sustain data integrity over a compromised link, we propose an optimized implementation of algebraic manipulation detection (AMD) codes to detect any fault injection in targeted flits.
The methodology is divided in six steps covering the design of a supervisor from the system work specifications to an optimized implementation of the control.
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The results indicate a significant improvement over other similar strategies, allowing a optimized implementation for applications such as mobile robots.
Therefore we also show results for an hypothetical optimized implementation that even outperforms Kakadu by a factor of 2, i.e., is 50 times faster than our implementation (see Figure 5).
We describe a highly optimized implementation of MPI domain decomposition in a GPU-enabled, general-purpose molecular dynamics code, HOOMD-blue (Anderson and Glotzer, 2013).
We advance that although OpenACC can not match the performance of a CUDA optimized implementation (×3.5 slower in average), it provides a significant performance improvement against a CPU implementation (×2 6) with by far a simpler code and less implementation effort.
The overhead of handling the page faults required to copy the pages results in worse overall performance than copy-on-fork; with a more optimized implementation forks would be about 20% faster with COW-COR than with copy-on-fork.
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CEO of Professional Science Editing for Scientists @ prosciediting.com