Chemically Engineered GaN Thin Films for Light‐Stimulated Artificial Synapses by Xiaoqin Yang, Jiawen Lu, Luyu Zhao, Xiaorui Han, Zhongwei Bai, Peiwen Quan, Liangshuai Xie, Liang Li, Haoxuan Sun, Mark Hermann Rummeli, Bingcheng Luo, Hong Gu

“…The conventional von Neumann architecture is increasingly losing the capacity to satisfy the urgent demand for high‐speed parallel computing, energy efficiency, and ultralow power consumption owing to the rapid growth of information. …”
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E-MAC: Enhanced In-SRAM MAC Accuracy via Digital-to-Time Modulation by Saeed Seyedfaraji, Salar Shakibhamedan, Amire Seyedfaraji, Baset Mesgari, Nima Taherinejad, Axel Jantsch, Semeen Rehman

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Analog parallel processor for broadband multifunctional integrated system based on silicon photonic platform by Na Qian, Defu Zhou, Haowen Shu, Ming Zhang, Xingjun Wang, Daoxin Dai, Xiao Deng, Weiwen Zou

“…Via photonic analog parallelism, data rate and data volume in each sequence are simultaneously compressed, which mitigates the requirement on each parallel computing core. Moreover, the fusion of the outputs from each computing core is equivalent to directly processing broadband signals. …”
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Simulating fluid within elastic pipe(弹性管道约束下的流体仿真) by 杨少娟(YANG Shaojuan), 马龙(MA Long), 杨润泽(YANG Runze), 陈实(CHEN Shi), 周元峰(ZHOU Yuanfeng)

“…Additionally, elastic constraints are introduced to endow the pipe with specific elastic properties, and GPU parallel computing is utilized to accelerate the simulation. …”
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Reconstruction for Time-Domain In Vivo EPR 3D Multigradient Oximetric Imaging—A Parallel Processing Perspective by Christopher D. Dharmaraj, Kishan Thadikonda, Anthony R. Fletcher, Phuc N. Doan, Nallathamby Devasahayam, Shingo Matsumoto, Calvin A. Johnson, John A. Cook, James B. Mitchell, Sankaran Subramanian, Murali C. Krishna

“…The experimental results demonstrate that the parallel computing provides a source of high computational power to obtain biophysical parameters from 3D EPR oximetric imaging, almost in real-time.…”
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Gaps in our understanding of ice-nucleating particle sources exposed by global simulation of the UK Earth System Model by R. J. Herbert, A. Sanchez-Marroquin, A. Sanchez-Marroquin, D. P. Grosvenor, D. P. Grosvenor, K. J. Pringle, S. R. Arnold, B. J. Murray, K. S. Carslaw

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A China dataset of soil properties for land surface modelling (version 2, CSDLv2) by G. Shi, W. Sun, W. Shangguan, Z. Wei, H. Yuan, L. Li, X. Sun, Y. Zhang, H. Liang, D. Li, F. Huang, Q. Li, Q. Li, Y. Dai

“…Using advanced ensemble machine learning and a high-performance parallel-computing strategy, we developed comprehensive maps of 23 soil physical and chemical properties at six standard depth layers from 0 to 2 m in China at a 90 m spatial resolution (China dataset of soil properties for land surface modelling version 2, CSDLv2). …”
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A parallel algorithm of LU factorization by Raimondas Čiegis, Vadimas Starikovičius

“… This paper discusses issues in the design of LU factorization parallel algorithm on distributed memory parallel computers. A new cyclic distribution method is proposed for heterogeneous parallel computers, which include virtual parallel computers. …”
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(t,k)-diagnosability of exchanged crossed cube under the PMC model by Chen GUO, Zhifang XIAO, Ming LEMG, Shuo PENG, Bo WANG

“…Exchanged crossed cube(ECQ) is one of the latest achievements in the research of topology of novel interconnection networks.ECQ is a more optimized form of organization for multi-processor parallel computers,which retains the advantages of exchanged hypercube and crossed cube in terms of the smaller diameter,fewer links,and lower cost factor,and which indicates more balanced consideration.However,so far,ECQ hadn’t been formally introduced into multi-processor parallel computers.One of the main reasons was that its reliability research wasn’t yet systematic.Among them,the operational reliability represented by diagnosability was the most urgent.ECQ was taken as studying object,after topological analyzing,some important topological properties of ECQ were introduced,which determines the (t,k)-diagnosability of ECQ(s,t) under the PMC model by theoretical deduction and simulation experiments.Simulation results show that ECQ reliability complement and improvement,which provides strong technical support for subsequent application and popularization.…”
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Threshold ring signature for wireless sensor networks by Jun-fang XIAO, Jian LIAO, Gui-hua ZENG

“…Compared with traditional network,the wireless sensor nodes are limited in the storage,mobility,computation,energy,and so on.A threshold ring signature scheme suitable for wireless sensor networks based on bilinear pairings was proposed.Assuming the abstrusity of computational Diffie-Hellman problem,the secure proof was shown in the model of random oracles using the reduction to the contravention.Proposed scheme also had other characteristics,such as robustness,multi-signature and parallel computation.…”
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CONSTRUCTION PRINCIPLES OF COMPUTING UNITS FOR INTELLECTUAL DATA PROCESSING by M. M. Tatur

“…An approach to the development of problem-oriented parallel computers for a wide range of tasks of intelligent data processing is described. …”
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A note on the distance distribution paradigm for Mosaab-metric to process segmented genomes of influenza virus by Mosaab Daoud

“…Various technical examples are presented in this paper, in addition, the integrated statistical learning pipeline to process segmented genomes of influenza virus is illustrated as sequential-parallel computational pipeline.…”
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Sequential Spiking Neural P Systems with Local Scheduled Synapses without Delay by Alia Bibi, Fei Xu, Henry N. Adorna, Francis George C. Cabarle

“…Spiking neural P systems with scheduled synapses are a class of distributed and parallel computational models motivated by the structural dynamism of biological synapses by incorporating ideas from nonstatic (i.e., dynamic) graphs and networks. …”
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Schwarz Waveform Relaxation for Heat Equations with Nonlinear Dynamical Boundary Conditions by Shu-Lin Wu

“…In this paper, we consider the heat equations at spacetime continuous level and study a Schwarz waveform relaxation algorithm for parallel computation purpose. We prove the linear convergence of the algorithm on long time intervals and show how the convergence rate depends on the size of overlap and the nonlinearity of the nonlinear boundary functions. …”
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Parallel Rayleigh Quotient Optimization with FSAI-Based Preconditioning by Luca Bergamaschi, Angeles Martínez, Giorgio Pini

“…The present paper describes a parallel preconditioned algorithm for the solution of partial eigenvalue problems for large sparse symmetric matrices, on parallel computers. Namely, we consider the Deflation-Accelerated Conjugate Gradient (DACG) algorithm accelerated by factorized-sparse-approximate-inverse- (FSAI-) type preconditioners. …”
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Recent Efforts for Credible CFD Simulations in China by Li Li, Bai Wen, Liang Yihua

“…It had also been a powerful job manager for CFD with capabilities to support plug and play (PnP) solver integration as well as distributed or parallel computations. Some future work on WiseCFD was proposed, and also envisioned was how WiseCFD and the European QNET-CFD Knowledge Base can benefit mutually.…”
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The Effect of Shear Sliding of Vertical Contraction Joints on Seismic Response of High Arch Dams with Fine Finite Element Model by Shengshan Guo, Jianxin Liao, Hailong Huang, Hui Liang, Deyu Li, Houqun Chen, Aijing Zhang, Yifu Tian

“…The parallelization based on overlapping domain decomposition method (ODDM) and explicit message passing using distributed memory parallel computers is employed to improve the computational efficiency. …”
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A novel approach for large-scale hybrid mesh generation on distributed systems by Bohan Wang, Hongfei Ye, Jianjun Chen, Yao Zheng

“…A coarser background mesh with high-quality viscous elements from the same model is employed for parallel computation. Instead of using a conventional approach to generate layer-wise prismatic elements, a normal calculation through linear interpolation is implemented to overcome the boundary problems arising in distributed systems. …”
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A Reconfigurable Coarse-to-Fine Approach for the Execution of CNN Inference Models in Low-Power Edge Devices by Auangkun Rangsikunpum, Sam Amiri, Luciano Ost

“…To efficiently deploy CNN inference models on resource-constrained edge devices, field programmable gate arrays (FPGAs) have become a viable processing solution because of their unique hardware characteristics, enabling flexibility, parallel computation and low-power consumption. In this regard, this work proposes an FPGA-based dynamic reconfigurable coarse-to-fine (C2F) inference of CNN models, aiming to increase power efficiency and flexibility. …”
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Hadoop in Banking: Event-Driven Performance Evaluation by Monalisa Panda, Mamata Garnayak, Mitrabinda Ray, Smita Rath, Anuradha Mohanta, Sushree Bibhuprada B. Priyadarshini

“…This is supported by the Hadoop ecosystem, which provides distribution of the processing and storage, making it fit for handling large datasets with high fault tolerance and parallel computation levels. This study analyzes transaction and user engagement data using Hive queries, focusing on credit card transactions via MasterCard. …”
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