Search Results - "parallel computing"

Acceleration of boundary element calculations for closed domain using nonlinear form functions and CUDA technology by S. S. Sherbakov, M. M. Polestchuk

“…The dependences of acceleration of parallel  computations  as  compared  with  sequential  ones  were explored  for  different  numbers  of  boundary elements  and  computational  nodes.  …”
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Computing with electromagnetic fields rather than binary digits: a route towards artificial general intelligence and conscious AI by Johnjoe McFadden

“…According to the theory, non-conscious brain processing occurs solely within the EM field-insensitive digital neuronal network, enabling fast, parallel computations, but cannot form complex, integrated concepts, so it is limited to specialised functions necessary for tasks like motor coordination. …”
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A special machine for solving NP-complete problems by Jin Xu, Le Yu, Huihui Yang, Siyuan Ji, Pu Wu, Yu Zhang, Anqi Yang, Quanyou Li, Haisheng Li, Enqiang Zhu, Xiaolong Shi, Zehui Shao, Huang Leng, Xiaoqing Liu

“…The EPC employs a hybrid serial/parallel computational model, structured around four main subsystems: a converting system, an input/output system, and an operating system. …”
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Input/Output analysis and optimization for GRAPES regional model by Yang Bin, Wang Jingyu, Liu Weiguo, Cai Huiyi, Yu Fei, Deng Liantang, Huang Liping

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Retentive Time Series: A Scalable Machine Learning Model for Traffic Prediction in Elastic Optical Networks by Faranak Khosravi, Mehdi Shadaram

“…Compared to RNNs, which successively consider data and always suffer from problematic vanishing gradients, Ret-TS can handle long-term dependencies efficiently through parallel computation; hence, it is more suitable for large-scale and real-time applications. …”
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Intratumor heterogeneity: models of malignancy emergence and evolution by R. A. Ivanov, S. A. Lashin

“…Furthermore, single­cell sequencing methods have emerged as powerful tools for dissecting intratumoral heterogeneity and tracing clonal evolution. In parallel, computational models and algorithms have been developed to simulate and analyze cancer evolution. …”
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