Monte Carlo Algorithm For Matrices in Solving Systems of Linear Equations, Determinants, Inverse, Eigen Values, and Eigenvectors. by Bamwine, Delik

“…This research assessed Monte Carlo methods to accommodate a set of fundamental and ubiquitous large-scale linear algebra operations, including solving large-scale linear systems, constructing low-rank matrix approximation, and approximating the extreme eigenvalues/ eigenvectors, across modern distributed and parallel computing architectures. This research provides me with a solid base of knowledge in numerical linear algebra for parallel high-performance computing systems. …”
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Processing streams in a monitoring cloud cluster by Alexey N. Nazarov

“…Often, computing resources of monitoring clusters of cloud data centers are allocated for continuous parallel processing of high-speed streaming data, which imposes new requirements to monitoring technologies, necessitating the creation and research of new models of parallel computing. The need to use service monitoring plays an important role in the cloud computing industry, especially for SLA/QoS assessment, as the application or service may experience problems even if the virtual machines on which the work is taking place appear to be operational. …”
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A Block-Based and Highly Parallel CNN Accelerator for Seed Sorting by Xiaoting Sang, Zhenghui Hu, Huanyu Li, Chunlei Li, Zhoufeng Liu

“…Moreover, an efficient memory system with a double buffering mechanism and new data reordering mode is designed to address the imbalance between memory access and parallel computing. Our proposed FPGA-based MobileNetV2 accelerator for real-time seed sorting is implemented and evaluated on the platform of Xilinx XC7020. …”
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Complex Power System Status Monitoring and Evaluation Using Big Data Platform and Machine Learning Algorithms: A Review and a Case Study by Yuanjun Guo, Zhile Yang, Shengzhong Feng, Jinxing Hu

“…To fully investigate the proposed structure, three major applications are introduced: development of power grid topology and parallel computing using CIM files, high-efficiency load-shedding calculation, and power system transmission line tripping analysis using 3D visualization. …”
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A Framework for Privacy-Preserving in IoV Using Federated Learning With Differential Privacy by Muhammad Adnan, Madiha Haider Syed, Adeel Anjum, Semeen Rehman

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Case study of natural convection topology optimization based on finite volume method by Honglei Liu, Shuzhe Guo, Ce Liu, Fei Du, Baotong Li, Jun Hong

“…The topology optimization model is established using Brinkman term and thermal conductivity interpolation. Meanwhile, a parallel computing method is also developed to accelerate computation. …”
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A Massively Parallel SMC Sampler for Decision Trees by Efthyvoulos Drousiotis, Alessandro Varsi, Alexander M. Phillips, Simon Maskell, Paul G. Spirakis

“…A widely used approach to reducing an algorithm’s runtime is to employ modern multi-core computer architectures, either with shared memory (SM) or distributed memory (DM), and use parallel computing to accelerate the algorithm. However, the inherent sequential nature of MCMC makes it unsuitable for parallel implementation unless the accuracy is sacrificed. …”
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Ensuring Seismic Resistance of Reinforced Concrete Buildings by O. V. Mkrtychev, A. A. Reshchetov

“…The calculation was carried out using explicit methods for integrating the equations of motion on a computing cluster using parallel computing technology. The presented technique makes it possible to investigate the nature of the destruction of reinforced concrete structures during intense earthquakes and to identify zones with a deficiency in bearing capacity. …”
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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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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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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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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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