Simulating Growth Kinetics in a Data-Parallel 3D Lattice Photobioreactor by A. V. Husselmann, K. A. Hawick

“…We bring together agent-based simulation with the Photosynthetic Factory (PSF) model, as well as certain key bioreactor characteristics in a visual 3D, parallel computing fashion. Despite being at small scale, the simulation gives excellent visual cues on the dynamics of such a reactor, and we further investigate the model in a variety of ways. …”
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Multi-node cooperative distributed offloading strategy in V2X scenario by Dun CAO, Yingbao ZHANG, Dian ZOU, Jin WANG, Qiang TANG, Baofeng JI

“…In order to cope with the dynamic changes of the offloading environment for computing resource-intensive and separable tasks in Internet of vehicle and deal with the problem that different collaborative nodes had different communication and computing resources, a distributed offloading strategy that multiple collaborative nodes had serial offloading mode and parallel computing mode in vehicle to everything (V2X) scenario was proposed.Utilizing the predictable motion trajectories of vehicle, the tasks were split into unequal parts, finally each part was computed on itself, mobile edge server, and vehicles in parallel.Then an optimization problem of the system time delay minimization was established.To solve the optimization problem, an offloading scheme based on the game theory was designed to determine the serial offloading execution order of the cooperative nodes.Considering the dynamic characteristics of Internet of vehicles, a sequential quadratic programming (SQP) algorithm was adopted to optimally split tasks.Finally, the simulation results show that the proposed strategy can effectively reduce system delay, and when multiple cooperative nodes offload in parallel, the proposed strategy can still maintain the stable system performance under the different parameter conditions.…”
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An Evaluation of an Integrated On-Chip/Off-Chip Network for High-Performance Reconfigurable Computing by Andrew G. Schmidt, William V. Kritikos, Shanyuan Gao, Ron Sass

“…However, the body of research in this area has focused on discrete IC devices alone which may or may not serve the high-performance computing community which needs to assemble many of these devices into very large scale, parallel computing machines. This paper describes an integrated on-chip/off-chip network that has been implemented on an all-FPGA computing cluster. …”
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The “Chimera”: An Off-The-Shelf CPU/GPGPU/FPGA Hybrid Computing Platform by Ra Inta, David J. Bowman, Susan M. Scott

“…Finally, we speculate on the merits of our Chimera system on the entire landscape of parallel computing, through the analysis of representative problems from UC Berkeley’s “Thirteen Dwarves.”…”
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Parallel division clustering algorithm based on Spark framework and ASPSO by Yimin MAO, Dejin GAN, Liefa LIAO, Zhigang CHEN

“…To deal with the problems that the partition clustering algorithm for processing massive data encountered problems such as large data dispersion coefficient and poor anti-interference, difficulty to determine the number of local clusters, local cluster centroids randomness, and low efficiency of local cluster parallelization and merging, a parallel partition clustering algorithm based on Spark framework and ASPSO (PDC-SFAS PSO) was proposed.Firstly, a meshing strategy was introduced to reduce the data dispersion coefficient of the data division and improve anti-interference.Secondly, to determine the number of clusters, meshing strategy based on potential function and Gaussian function were proposed, which formed an area with different sample points as the core clusters, and obtained the number of local clusters.Then, to avoid local cluster centroids randomness, ASPSO was proposed.Finally, a local cluster merging strategy based on cluster radius and neighbor nodes was introduced to merge clusters with large similarity based on the Spark parallel computing framework, which improved the efficiency of parallel merging of local clusters.Experimental results showed that the PDC-SFASPSO algorithm has good performance in data partitioning and clustering in a big data environment, and it was suitable for parallel clustering of large-scale data sets.…”
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Parallel Simulation of Population Balance Model-Based Particulate Processes Using Multicore CPUs and GPUs by Anuj V. Prakash, Anwesha Chaudhury, Rohit Ramachandran

“…The first method illustrates utilization of MATLAB's Parallel Computing Toolbox (PCT) and the second method makes use of another toolbox, JACKET, to speed up computations on the CPU and GPU, respectively. …”
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Discounted-likelihood valuation of variance and volatility swaps by Napat Rujeerapaiboon, Sanae Rujivan, Hongdan Chen

“…When the underlier’s returns are independent and lognormally but not necessarily identically distributed, our approach for pricing variance and volatility swaps could be greatly simplified, benefit from parallel computing, and be solved by a two-dimensional grid search. …”
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Research on heterogeneous radio access and resource allocation algorithm in vehicular fog computing by Kai XIONG, Supeng LENG, Ke ZHANG, Hao LIU

“…With the development of intelligent transportation and the constant emergence of new vehicular on-board applications,such as automatic driving,intelligent vehicular interaction and safety driving.It is difficult for an independent vehicle to run a wide variety of applications with a large number of computing needs and time delay needs relying on its own limited computing resources.By distributing computing tasks in devices on the edge of the network,fog computing applies virtualization technology,distributed computing technology and parallel computing technology to enable users to dynamically obtain computing power,storage space and other services on demand.Applying fog computing architecture to Internet of vehicles can effectively alleviate the contradiction between the large computing-low delay demands and limited vehicular resources.By analyzing the channel capacity of vehicle-to-vehicle communication,vehicle-infrastructure communication and vehicle-time-delay tolerant network communication,an optimization model of heterogeneous access to multi-service resources for the Internet of vehicles was established,and various vehicle-to-fog resources were jointly dispatched to realize efficient processing of intelligent transportation applications.The simulation results show that the proposed reinforcement learning algorithm can effectively deal with the resource allocation in the heterogeneous vehicular fog architecture.…”
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Enabling Fast AI-Driven Inverse Design of a Multifunctional Nanosurface by Parallel Evolution Strategies by Ashish Chapagain, Dima Abuoliem, In Ho Cho

“…This paper addresses the challenges by proposing a parallel-computing-based ES (named parallel ES). The parallel ES demonstrated the desired speed and scalability, accelerating the AI-driven inverse design of multifunctional nanopatterned surfaces. …”
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Assessing the Static and Dynamic Sensitivity of a Commercial Off-the-Shelf Multicore Processor for Noncritical Avionic Applications by Pablo F. Ramos, Vanessa C. Vargas, Nacer-Eddine Zergainoh, Raoul Velazco

“…This device was selected due to its high performance, low power consumption, and affordability, allowing general public accessing to parallel computing. Additionally, the E16G301 is the coprocessor for parallel processing of the Parallella platform, which was considered by NASA researchers for onboard health management of the DragonEye UAS. …”
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General Improvements of Heuristic Algorithms for Low Complexity DOA Estimation by Haihua Chen, Haoran Li, Mingyang Yang, Changbo Xiang, Masakiyo Suzuki

“…., the optimization of the initialization space, the optimization of evolutionary strategies, and the usage of parallel computing techniques. Simulation results show that the computational complexity can be greatly reduced while these improvements are used.…”
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Numerical Analysis of a Train-Bridge System Subjected to Earthquake and Running Safety Evaluation of Moving Train by Xun Yang, Huanhuan Wang, Xianlong Jin

“…Taking a long span cable-stayed bridge across the Huangpu River as an example, a full three-dimensional finite element model of the train-bridge system was established, in which the soil-bridge and rail-train interactions were considered. Parallel computing based on contact balance was utilized to deal with this large-scale numerical simulation problem. …”
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Analysis of high-rise building safety detection methods based on big data and artificial intelligence by Jiaojiao Xu, Chuanjie Yan, Yangyang Su, Yong Liu

“…The experiments in this article use the concept of big data to divide the system into modules such as data collection, data preprocessing, feature extraction, prediction model building, and model application in order to provide massive data storage and parallel computing services to form a security test system. …”
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Lightweight Multi-Scale Network for Segmentation of Riverbank Sand Mining Area in Satellite Images by Hongyang Zhang, Shuo Liu, Huamei Liu

“…The lightweight multi-scale block combines parallel computing and depthwise convolution to reduce the parameters of the network and enhance its multi-scale extraction ability. …”
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An efficient way to represent the processors and their connections in omega networks by Savari Prabhu, T. Jenifer Janany, Paul Manuel

“…This characteristic helps reduce congestion and improve overall system performance, especially in large-scale parallel computing environments where data communication is a critical factor. …”
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High-Speed GPU-Based Fully Three-Dimensional Diffuse Optical Tomographic System by Manob Jyoti Saikia, Rajan Kanhirodan, Ram Mohan Vasu

“…Two different GPU implementations of DOT programs are developed in this study: (1) conventional C language program augmented by GPU CUDA and CULA routines (C GPU), (2) MATLAB program supported by MATLAB parallel computing toolkit for GPU (MATLAB GPU). The computation time of the algorithm on host CPU and the GPU system is presented for C and Matlab implementations. …”
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Implementation of Membrane Algorithms on GPU by Xingyi Zhang, Bangju Wang, Zhuanlian Ding, Jin Tang, Juanjuan He

“…In this work, we consider the implementation of membrane algorithms on the parallel computing device graphics processing unit (GPU). …”
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Overcoming single-technology limitations in digital heritage preservation: A study of the LiPhoScan 3D reconstruction model by Yao Wang, Wei Bi, Xiaodong Liu, Yan Wang

“…Future research will incorporate parallel computing and efficient data processing methods to further enhance the model’s computational efficiency.…”
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A Review of Numerical Techniques for Frictional Contact Analysis by Govind Vashishtha, Sumika Chauhan, Riya Singh, Manpreet Singh, Ghanshyam G. Tejani

“…This review paper delves into the future research that prioritizes developing computationally efficient algorithms and parallel computing strategies. Advancements in constitutive modelling are vital for improved accuracy, along with enhanced contact detection algorithms for complex geometries and large deformations. …”
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Short-Term Traffic Prediction considering Spatial-Temporal Characteristics of Freeway Flow by Jiaqi Wang, Yingying Ma, Xianling Yang, Teng Li, Haoxi Wei

“…Second, the hybrid model constructed by long short-term memory and K-nearest neighbor (LSTM-KNN) algorithm using transformed grey wolf optimization is discussed. Parallel computing is used in this part to reduce complexity. …”
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