Gotowe bibliografie tematyczne / Architecture parallelisante

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  2. Rozprawy doktorskie

Gotowa bibliografia na temat „Architecture parallelisante”

Autor: Grafiati
Data publikacji: 25 stycznia 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Architecture parallelisante"

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Szénási, Sándor. "Solving the inverse heat conduction problem using NVLink capable Power architecture." PeerJ Computer Science 3 (November 20, 2017): e138. http://dx.doi.org/10.7717/peerj-cs.138.

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The accurate knowledge of Heat Transfer Coefficients is essential for the design of precise heat transfer operations. The determination of these values requires Inverse Heat Transfer Calculations, which are usually based on heuristic optimisation techniques, like Genetic Algorithms or Particle Swarm Optimisation. The main bottleneck of these heuristics is the high computational demand of the cost function calculation, which is usually based on heat transfer simulations producing the thermal history of the workpiece at given locations. This Direct Heat Transfer Calculation is a well parallelisa
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Taygan, Ugur, and Adnan Ozsoy. "Performance analysis and GPU parallelisation of ECO object tracking algorithm." New Trends and Issues Proceedings on Advances in Pure and Applied Sciences, no. 12 (April 30, 2020): 109–18. http://dx.doi.org/10.18844/gjpaas.v0i12.4991.

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The classification and tracking of objects has gained popularity in recent years due to the variety and importance of their application areas. Although object classification does not necessarily have to be real time, object tracking is often intended to be carried out in real time. While the object tracking algorithm mainly focuses on robustness and accuracy, the speed of the algorithm may degrade significantly. Due to their parallelisable nature, the use of GPUs and other parallel programming tools are increasing in the object tracking applications. In this paper, we run experiments on the Ef
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Rice, J. E., and K. B. Kent. "Case studies in determining the optimal field programmable gate array design for computing highly parallelisable problems." IET Computers & Digital Techniques 3, no. 3 (2009): 247. http://dx.doi.org/10.1049/iet-cdt.2008.0042.

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Dyubele, Sithembiso, and Duncan Anthony Coulter. "A Hybrid Agent-Oriented Stochastic Diffusion Search and Beam Search Architecture." International Conference on Intelligent and Innovative Computing Applications 2024 (November 30, 2024): 214–24. https://doi.org/10.59200/iconic.2024.023.

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Various swarm intelligence-based algorithms have been developed and explored over the years. These algorithms include particle swarm optimisation, spider monkey optimisation, artificial bee colony algorithm, ant colony optimisation, and bacterial foraging optimisation, among many others. However, according to the reviewed literature, classical or traditional optimisation methods are confronted with difficulties when scaling up to real-world optimisation problems; therefore, there is a need to develop efficient and robust computational algorithms that can solve problems numerically, irrespectiv
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Haveraaen, Magne. "Machine and Collection Abstractions for User-Implemented Data-Parallel Programming." Scientific Programming 8, no. 4 (2000): 231–46. http://dx.doi.org/10.1155/2000/485607.

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Data parallelism has appeared as a fruitful approach to the parallelisation of compute-intensive programs. Data parallelism has the advantage of mimicking the sequential (and deterministic) structure of programs as opposed to task parallelism, where the explicit interaction of processes has to be programmed. In data parallelism data structures, typically collection classes in the form of large arrays, are distributed on the processors of the target parallel machine. Trying to extract distribution aspects from conventional code often runs into problems with a lack of uniformity in the use of th
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Peakman, Aiden, Thomas Bennett, Kerr Fitzgerald, Robert Gregg, and Glyn Rossiter. "NEXUS FRAMEWORK FOR WHOLE-CORE FUEL PERFORMANCE: CURRENT APPLICATIONS AND FUTURE TRENDS." EPJ Web of Conferences 247 (2021): 12001. http://dx.doi.org/10.1051/epjconf/202124712001.

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Current industry practice in fuel licensing often relies on thermo-mechanical modeling of a fuel rod with an artificially constructed bounding power history. The benefit of this approach is that it is computationally efficient; however, the drawbacks are that 1) such an approach is not always conservative, for instance when modelling phenomena related to late onset pellet-clad gap closure; and 2) it can poorly estimate available safety margins for fuel operating at high local power densities and/or to high burnup. For these reasons NNL developed an in-house whole-core fuel performance framewor
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Jiang, Xinyu, Chenfei Ma, and Kianoush Nazarpour. "Posture-invariant myoelectric control with self-calibrating random forests." Frontiers in Neurorobotics 18 (December 4, 2024). https://doi.org/10.3389/fnbot.2024.1462023.

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IntroductionMyoelectric control systems translate different patterns of electromyographic (EMG) signals into the control commands of diverse human-machine interfaces via hand gesture recognition, enabling intuitive control of prosthesis and immersive interactions in the metaverse. The effect of arm position is a confounding factor leading to the variability of EMG characteristics. Developing a model with its characteristics and performance invariant across postures, could largely promote the translation of myoelectric control into real world practice.MethodsHere we propose a self-calibrating r
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Tang, Duowei, Peter Kuppens, Luc Geurts, and Toon van Waterschoot. "End-to-end speech emotion recognition using a novel context-stacking dilated convolution neural network." EURASIP Journal on Audio, Speech, and Music Processing 2021, no. 1 (2021). http://dx.doi.org/10.1186/s13636-021-00208-5.

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AbstractAmongst the various characteristics of a speech signal, the expression of emotion is one of the characteristics that exhibits the slowest temporal dynamics. Hence, a performant speech emotion recognition (SER) system requires a predictive model that is capable of learning sufficiently long temporal dependencies in the analysed speech signal. Therefore, in this work, we propose a novel end-to-end neural network architecture based on the concept of dilated causal convolution with context stacking. Firstly, the proposed model consists only of parallelisable layers and is hence suitable fo
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Rozprawy doktorskie na temat "Architecture parallelisante"

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Louetsi, Kenelm. "Un environnement de développement d'applications sur un processeur à beaucoup de cœurs parallélisant." Electronic Thesis or Diss., Perpignan, 2024. http://www.theses.fr/2024PERP0024.

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Les objets numériques du futur (robots domestiques, véhicules autonomes, engins spatiaux automatiques,...) auront besoin à la fois de puissance de calcul et de sûreté. Le Little Big Processor (LBP) est adapté à ce défi : il a une approche novatriced u parallélisme qui offre l'avantage de la puissance en garantissant un certain déterminisme de l'exécution. Ce déterminisme d'exécution donne une sûreté de fonctionnement indispensable dans la plupart des dispositifs interagissant avec le monde et l'humain. Dans cette thèse, nous avons réalisé un environnement de développement pour LBP, avec un com
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