Suchergebnisse - Parallel and Distributed Computing Framework

A parallel distributed computing framework for Newton–Raphson load flow analysis of large interconnected power systems von Sreerama Kumar, R., Chandrasekharan, E.

“… ]. This paper proposes a simple parallel and distributed computing framework for the conventional Newton–Raphson load flow (NRLF …”
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Blink: Towards Efficient RDMA-based Communication Coroutines for Parallel Python Applications von Shafi, Aamir, Hashmi, Jahanzeb Maqbool, Subramoni, Hari, Panda, Dhabaleswar K.

“… Dask is a popular Python-based distributed computing framework that allows users to process large amounts of data on parallel hardware …”
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A modularized parallel distributed High–Performance computing framework for simulating seasonal frost dynamics in Canadian croplands von Li, Ziwei, Qi, Zhiming, Liu, Yuchen, Zheng, Yunjia, Yang, Yi

“… •A Parallel distributed HPC framework (RS-DPCF) was developed for the RZ-SHAW model …”
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MapReduce distributed parallel computing framework for diagnosis and treatment of knee joint Kashin-Beck disease von Dang, Chenpo, Yi, Guirong, Zhu, Zhaomin, Zhou, Peng, Shao, Hongbin, Yao, Yanbin, Zhao, Maosheng, Li, Lintao, Li, Shensong

“… To improve the accuracy and computational efficiency of the MapReduce distributed parallel computing framework, thereby mining the diagnosis and treatment data of Kashin-Beck Disease (KBD) of the knee joint …”
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SunwayMR: A distributed parallel computing framework with convenient data-intensive applications programming von Wu, Renke, Huang, Linpeng, Yu, Peng, Zhou, Haojie

“… Managing servers integration to realize distributed data computing framework is an important concern …”
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Monte Carlo simulation on heterogeneous distributed systems: A computing framework with parallel merging and checkpointing strategies von Camarasu-Pop, Sorina, Glatard, Tristan, da Silva, Rafael Ferreira, Gueth, Pierre, Sarrut, David, Benoit-Cattin, Hugues

“… This paper introduces an end-to-end framework for efficient computing and merging of Monte Carlo simulations on heterogeneous distributed systems …”
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Memory Optimization Method for Parallel Computing Framework Based on Distributed Dataset von XIA Libin, LIU Xiaoyu, JIANG Xiaowei, SUN Gongxing

“… With the rapid development of scientific computing and artificial intelligence technology, parallel computing in distributed environment has become an important method for solving large-scale …”
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Retraction notice to “Parallel distributed computing based wireless sensor network anomaly data detection in IoT framework” [Cogn. Syst. Res. 52 (2018) 342–350] von Li, Qian, Sun, Ruizhi, Wu, Huiling, Zhang, Qianqian

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Massive Data Analysis Based on Hadoop Distributed Parallel Computing Framework von Wang, Lin, Leng, Ling, Liang, Ben Lai, Yu, Jiang De

“… Hadoop distributed system provides reliable parallel computing service by cheap PC clustering …”
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A Parallel Sequential SBAS Processing Framework Based on Hadoop Distributed Computing von Wu, Zhenning, Lv, Xiaolei, Yun, Ye, Duan, Wei

“… With the rapid development of microwave remote sensing and SAR satellite systems, the use of InSAR techniques has been greatly encouraged due to the abundance …”
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An Improved K-means Distributed Clustering Algorithm Based on Spark Parallel Computing Framework von Lu, Xin, Lu, Huanghuang, Yuan, Jiao, Wang, Xun

“… At the same time, this paper uses spark parallel computing framework to implement the improved algorithm …”
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A Special Issue of Journal of Parallel and Distributed Computing: Domain-Specific Languages and High-Level Frameworks for High-Performance Computing von Krishnamoorthy, Sriram, Ramanujam, J., Sadayappan, P.

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Parallel Deep Learning with a hybrid BP-PSO framework for feature extraction and malware classification von Al-Andoli, Mohammed Nasser, Tan, Shing Chiang, Sim, Kok Swee, Lim, Chee Peng, Goh, Pey Yun

“… We develop a new DL-based framework for malware detection. In this regard, we introduce a hybrid DL optimization method by exploiting the integration of BP and Particle Swarm Optimization (PSO …”
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Solving combinatorial problems using a parallel framework von Menouer, Tarek

“… This paper presents a new IBobpp framework which is an improvement of a high level parallel programming framework called Bobpp to optimize the performance of solving combinatorial problems …”
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ESMA: Towards elevating system happiness in a decentralized serverless edge computing framework von Datta, Somoshree, Addya, Sourav Kanti, Ghosh, Soumya K.

“… ), edge and serverless computing have started gaining momentum in today's computing infrastructure …”
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PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving von Xu, Han, Qi, Hao, Wang, Kunyao, Wang, Pei, Zhang, Guowei, Liu, Congcong, Jin, Junsheng, Zhao, Xiwei, Lin, Zhangang, Hu, Jinghe, Shao, Jingping

“… (Parallel-Computing Distributed Framework), allowing to split the computation cost into three parts and to deploy them in the pre-module in parallel with the retrieval …”
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A Generic Framework for Building Heterogeneous Simulations of Parallel and Distributed Computing Systems von Dursun, Taner, Dağ, Hasan

“… There have been many systems available for parallel and distributed computing (PDC) applications such as grids, clusters, super-computers, clouds, peer-to-peer and volunteer computing systems …”
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Utilizing Blockchain Technology for Financial Services in Parallel, Distributed, and Grid Computing Frameworks von Chokkamreddy, Prakash, Palagati, Anusha, Rao, Akurathi Lakshmi Pathi, Maheswari, P, Mahadevan, Vanitha, Balan, Santhosh Kumar

“… The application of parallel, distributed, and grid computing with blockchain in improving the functionality of financial services like real time financial transactions, high frequency trading …”
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Computational Offloading and Caching Framework for Parallel and Distributed Edge Computing in Supercomputing Environments von Shakir, Maha Noori, Ali, Mariam Fadel, Ali, Abdalsalam Taha Hussain, Mohammed, Alaa, Sulaiman, Sazan Kamal

“… Despite significant advancements in parallel and vector supercomputers over the past twenty years, the present generation falls short of expected performance benchmarks due to programming and scaling issues …”
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A massively parallel tensor contraction framework for coupled-cluster computations von Solomonik, Edgar, Matthews, Devin, Hammond, Jeff R., Stanton, John F., Demmel, James

“… We present a distributed-memory numerical library (Cyclops Tensor Framework (CTF)) that automatically manages tensor blocking and redistribution …”
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