High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures by Daehyun Kim, Joshua Trzasko, Mikhail Smelyanskiy, Clifton Haider, Pradeep Dubey, Armando Manduca

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Mapping Iterative Medical Imaging Algorithm on Cell Accelerator by Meilian Xu, Parimala Thulasiraman

“…However, the prohibitively long processing time of these techniques prevents their adoption in commercial CT machines. Parallel computing is one solution to this problem. With the advent of heterogeneous multicore architectures that exploit data parallel applications, medical imaging algorithms such as OS-SART can be studied to produce increased performance. …”
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TESLA GPUs versus MPI with OpenMP for the Forward Modeling of Gravity and Gravity Gradient of Large Prisms Ensemble by Carlos Couder-Castañeda, Carlos Ortiz-Alemán, Mauricio Gabriel Orozco-del-Castillo, Mauricio Nava-Flores

“…Today, the use of GPUs represents a breakthrough in parallel computing, which has led to the development of several applications with various applications. …”
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Multi-Scale Multi-Domain Hybrid Finite Element Modeling of Light Propagation by Jingwei Wang, Zhanwen Wang, Lida Liu, Yuntian Chen

“…Since the computational time is inversely proportional to the number of decomposed subdomains (N) under the parallel computing configuration, the computational time in our work is approximately reduced to \begin{document}${1}/{3N}$\end{document} of that using standard FEM for the two examples.…”
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Detailed Nonlinear Modeling and High-Fidelity Parallel Simulation of MMC With Embedded Energy Storage for Wind Farm Grid Integration by Bingrong Shang, Ning Lin, Venkata Dinavahi

“…In this paper, a high-voltage dc (HVDC) link model based on the modular multilevel converter with embedded energy storage (MMC-EES) is presented and, utilizing the massively parallel computing feature of the graphics processing unit (GPU), its efficacy in compensating a varying wind energy generation is studied. …”
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Performance characteristics of the fork-join queuing system by V. I. Klimenok

“…The results of the study can be used for modeling various computer and communication systems, in particular, systems that perform parallel computing, customer processing in distributed databases, and parallel disk access.…”
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SERGHEI v2.0: introducing a performance-portable, high-performance, three-dimensional variably saturated subsurface flow solver (SERGHEI-RE) by Z. Li, G. Rickert, N. Zheng, Z. Zhang, I. Özgen-Xian, D. Caviedes-Voullième, D. Caviedes-Voullième

“…<p>Advances in high-performance parallel computing have significantly enhanced the speed of large-scale hydrological simulations. …”
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A Universal MDO Framework Based on the Adaptive Discipline Surrogate Model by Hua Su, Chun-lin Gong, Liang-xian Gu

“…The discipline models and disciplinary design point sampling process are all independent; parallel computing could be used to increase computing efficiency in parallel environment. …”
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Research and application of mining AI video edge computing technology by ZHANG Liya, HAO Bonan, MA Zheng, YANG Zhifang

“…A lightweight software development kit (SDK) framework based on the register machine was proposed to decouple operators, improving the parallel computing ability of the algorithms and reducing the storage requirements of the SDK. …”
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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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An interaction-fair semi-decentralized trajectory planner for connected and autonomous vehicles by Zhengqin Liu, Jinlong Lei, Peng Yi, Yiguang Hong

“…The approach can significantly improve computational efficiency through parallel computing among CAVs, and enhance the safety of planned trajectories by ensuring equilibrium concordance among CAVs. …”
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Effective Partitioning Method With Predictable Hardness for CircuitSAT by Konstantin Chukharev, Irina Gribanova, Dmitry Ivanov, Stepan Kochemazov, Victor Kondratiev, Alexander Semenov

“…It is often the case that the resulting SAT instances are very hard and require the use of parallel computing to be solved in reasonable time. The particularly relevant problem in this context is how to best plan the use of the computing resources, because SAT solvers&#x2019; runtime is well known to be hard to predict. …”
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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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Advanced GPU Techniques for Dynamic Remeshing and Self-Collision Handling in Real-Time Cloth Tearing by Jong-Hyun Kim, Jung Lee

“…In this paper, we propose a GPU-based framework to accelerate dynamic remeshing and self-collision handling required for tearing thin-shell materials such as cloth: 1) Dynamic remeshing involves updating the shape and connectivity information at the element/node level, making parallel computing challenging and computationally costly. …”
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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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