Iterative reconstruction of medical phantoms on the computing cluster of EAGLE by S. A. Zolotarev, T. A. Taruat, E. G. Bilenko

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Scheduling strategy for achieving locality in cluster by Ping GUO, Li-jiang NING, Hai-zhu CHEN

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Human-Machine Interface for a Smart Wheelchair by Amiel Hartman, Vidya K. Nandikolla

“…The paper describes the integration of hardware and software with sensor technology and computer processing to develop the next generation intelligent wheelchair. The focus is a computer cluster design to test high performance computing for smart wheelchair operation and human interaction. …”
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Dynamic load balancing algorithm based on queuing theory comprehensive index evaluation by Wenbo WANG, Qingwei YE, Yu ZHOU, Zhihua LU

“…Internet communication,computer cluster and cloud environment have complex and dynamic characteristics,which can cause load imbalance easily,reduce the service efficiency and increase the energy consumption.Therefore,the load balancing technology becomes the focus of research.The existing load balancing strategy uses the occupancy of CPU,memories,processes to estimate the current load of each server.But it is hard to guarantee its accuracy.Aiming at this problem,a dynamic load balancing algorithm based on queuing theory comprehensive index evaluation was proposed.Firstly,queuing theory model was introduced to estimate the real-time load of each server,and then the tasks of input queue was distributed to each server separately according to the load comprehensive index of each server.Experimental results show that this method can balance the load of each server effectively and reduce the average waiting time of the task requests,which is of great application value.…”
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A High-Performance Parallel FDTD Method Enhanced by Using SSE Instruction Set by Dau-Chyrh Chang, Lihong Zhang, Xiaoling Yang, Shao-Hsiang Yen, Wenhua Yu

“…The benchmarks of the SSE acceleration on both the multi-CPU workstation and computer cluster have demonstrated the advantages of (vector arithmetic logic unit) VALU acceleration over GPU acceleration. …”
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COSMIC’s Large-scale Search for Technosignatures during the VLA Sky Survey: Survey Description and First Results by C. D. Tremblay, J. Sofair, L. Steffes, T. Myburgh, D. Czech, P. B. Demorest, R. A. Donnachie, A. W. Pollak, M. Ruzindana, Siemion A. P. V., S. S. Varghese, S. Z. Sheikh

“…We have built a digital signal processing system and computer cluster on the backend of the Karl G. Jansky Very Large Array (VLA) in New Mexico in order to search for signals throughout the Galaxy consistent with our understanding of artificial radio emissions. …”
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A Survey of Data Partitioning and Sampling Methods to Support Big Data Analysis by Mohammad Sultan Mahmud, Joshua Zhexue Huang, Salman Salloum, Tamer Z. Emara, Kuanishbay Sadatdiynov

“…Computer clusters with the shared-nothing architecture are the major computing platforms for big data processing and analysis. …”
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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

“…This paper describes an integrated on-chip/off-chip network that has been implemented on an all-FPGA computing cluster. The system supports MPI-style point-to-point messages, collectives, and other novel communication. …”
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Research on Multi-Function Pipeline Integrate Cloud Computing Monitoring System Based on OpenStack Structure by Lei Li, Lianwen Jin, Desheng Li, Wanwan Tang

“…To deal with the increasing of computer clusters which the increasing needs of cloud computing brings and guarantee stability and reliability of the service, a cloud computing monitoring system based on OpenStack structure to satisfy the needs of cloud computing monitor was designed. …”
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Big Data with Cloud Computing: Discussions and Challenges by Amanpreet Kaur Sandhu

“…Handling big data is a time-consuming task that requires large computational clusters to ensure successful data storage and processing. …”
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Parallelizing the cryo‐EM structure determination in THUNDER using GPU cluster by Zhao Wang, Huabin Ruan, Guangwen Yang, Xueming Li

“…However, obtaining high‐resolution 3D reconstructions from innumerable noisy images of macromolecules is an extremely complicated task, involving massive image analysis and calculation on a computing cluster. Although extensive efforts have been made for improving the computational efficiency, methods for completely utilizing the computing resources are still challenging for modern cryo‐EM programs. …”
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ADAPTIVE VISION AI by V. Vodyanitskyi, V. Yuskovych-Zhukovska

“…The paper considers models that are trained on a high-performance computing cluster with GPU support. The developed open source software allows detection, tracking and recognition of blurry moving objects with the help of artificial intelligence that adapts to any video camera. …”
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Cloud-based intelligent computing center ten-thousand card cluster innovation and practice by DING Hongqing, ZHANG Pengfei, NIU Hongweihua, LI Zhiyong, ZHOU Danyuan, DING Guoqiang, LI Panpan, LI Daotong, ZHANG Jiuxian

“…To address issues such as low availability of computing power in ultra-large scale computing clusters of intelligent computing centers, low maturity of domestically produced technologies, bottlenecks in large-scale networking efficiency, and complex operations and maintenance, a system based on cloud computing technology for constructing a ten-thousand card cluster in an intelligent computing center was proposed. …”
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Extracting chemical food safety hazards from the scientific literature automatically using large language models by Neris Özen, Wenjuan Mu, Esther D. van Asselt, Leonieke M. van den Bulk

“…The large language model was used out-of-the-box and applied on scientific abstracts; no extra training of the models or a large computing cluster was required. Three different styles of prompting the model were tested to assess which was the most optimal for the task at hand. …”
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Fine-tuning GBS data with comparison of reference and mock genome approaches for advancing genomic selection in less studied farmed species by Daniel Fischer, Miika Tapio, Oliver Bitz, Terhi Iso-Touru, Antti Kause, Ilma Tapio

“…The integration of Snakemake streamlines the pipeline usage on computer clusters and supports customization. This user-friendly solution facilitates genotyping for both model and non-model species.…”
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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. …”
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