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Empirical Evaluation of Unoptimized Sorting Algorithms on 8-Bit AVR Arduino Microcontrollers [PDF]
SensorsResource-constrained sensor nodes in Internet-of-Things (IoT) and embedded sensing applications frequently rely on low-cost microcontrollers, where even basic algorithmic choices directly impact latency, energy consumption, and memory footprint.
Julia Golonka, Filip Krużel
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Journal of Kufa for Mathematics and Computer, 2011 Sorting has been a profound area for the algorithmic researchers and many resources are invested to suggest more works for sorting algorithms. For this purpose, many existing sorting algorithms were observed in terms of the efficiency of the algorithmic ...
NIDHAL . K EL ABBADI +1 more
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Optimal inter-electrode distances for maximizing single unit yield per electrode in neural recordings [PDF]
Microsystems & NanoengineeringState-of-the-art high-density multielectrode arrays enable the recording of simultaneous spiking activity from hundreds of neurons. Although significant efforts have been dedicated to enhancing neural recording devices and developing more efficient ...
Domokos Meszéna +10 more
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Wall-L merge sort: A tunable and adaptive sorting algorithm for diverse computing environments. [PDF]
PLoS ONESorting algorithms play a crucial role in computing, but most are designed with rigid structure that are only efficient under certain conditions. Although some sorting algorithms perform well in some circumstances, they do not perform well on some ...
Mohammad Abdur Rob +4 more
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Performance evaluation of GPU-based parallel sorting algorithms [PDF]
PLoS ONEMohammed Alaa Ala’anzy +3 more
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Sorting algorithm acceleration based on CPU-FPGA heterogeneous system
Dianzi Jishu Yingyong, 2022 Traditional sorting methods are mainly implemented in software serial mode, including bubble sorting, selective sorting and so on. These algorithms often use sequential comparison, and the operation time complexity is relatively high.
Kou Yuanbo +3 more
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Gamifying Computer Science Education for Z Generation
Information, 2021 Generation Z members use their smart devices as part of their everyday routine. Teaching methods may need to be updated to make learning materials more interesting for this generation.
Hadeel Mohammed Jawad, Samir Tout
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Systematic review and exploration of new avenues for sorting algorithm
International Journal of Information Management Data Insights, 2021 Sorting plays a crucial role in almost all algorithms that support data science applications. A quadratic sorting algorithm is one in which the time taken for the algorithm to sort a dataset grows as the square of the size of the dataset. This paper aims
Anand Zutshi, Dipanjan Goswami
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An Agglomeration Law for Sorting Networks and its Application in Functional Programming [PDF]
Electronic Proceedings in Theoretical Computer Science, 2017 In this paper we will present a general agglomeration law for sorting networks. Agglomeration is a common technique when designing parallel programmes to control the granularity of the computation thereby finding a better fit between the algorithm and ...
Lukas Immanuel Schiller
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Sorting and preimages of pattern classes [PDF]
Discrete Mathematics & Theoretical Computer Science, 2012 We introduce an algorithm to determine when a sorting operation, such as stack-sort or bubble-sort, outputs a given pattern. The algorithm provides a new proof of the description of West-2-stack-sortable permutations, that is permutations that are ...
Anders Claesson, Henning Úlfarsson
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