Suchergebnisse - parallelism resource of algorithm

Improving Parallel Computing Efficiency von Aleeva, Valentina N.

“… We also describe a software Q-system for studying the parallelism resource of numerical algorithms …”
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High-Performance Computing Using Application of Q-determinant of Numerical Algorithms von Aleeva, Valentina N., Aleev, Rifkhat Zh

“… The conception of Q-determinant is one of the approaches to parallelizing numerical algorithms …”
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AI Services-Oriented Dynamic Computing Resource Scheduling Algorithm Based on Distributed Data Parallelism in Edge Computing Network of Smart Grid von Zou, Jing, Xin, Peizhe, Wang, Chang, Zhang, Heli, Wei, Lei, Wang, Ying

“… Massive computational resources are required by a booming number of artificial intelligence (AI …”
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Advancement of Research for the Parallelism Resource of Numerical Algorithms with the Help of Software Q-system

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Parallelism Resource of Numerical Algorithms. Version 1 von Aleeva, Valentina N, Rifkhat Zh Aleev

“… We also describe a software \(Q\)-system for studying the parallelism resource of numerical algorithms …”
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Merak: An Efficient Distributed DNN Training Framework with Automated 3D Parallelism for Giant Foundation Models von Lai, Zhiquan, Li, Shengwei, Tang, Xudong, Ge, Keshi, Liu, Weijie, Duan, Yabo, Qiao, Linbo, Li, Dongsheng

“… These challenges make it necessary to apply 3D parallelism, which integrates data parallelism, pipeline model parallelism, and tensor model parallelism, to achieve high training efficiency …”
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Research on adaptive distributed optimal resource allocation consistency algorithm in WAN environment von Sun, Ling

“… This study proposes an adaptive distributed optimal resource allocation consistency algorithm designed for WANs …”
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Methods for Changing Parallelism in the Process of High-Level VLSI Synthesis von Ryzhenko, I. N., Nepomnyaschy, O. V., Legalov, A. I., Shaidurov, V. V.

“… The results of the development of methods and algorithms for the transformation of functional-parallel programs into programs in HDL languages that support the design process of digital chips are presented …”
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Towards Optimal Parallelism-Aware Service Chaining and Embedding von Zheng, Danyang, Shen, Gangxiang, Cao, Xiaojun, Mukherjee, Biswanath

“… ) for processing/analysis but introduce additional processing delay. To reduce the processing delay from the serially-running SFs, network function parallelism (NFP …”
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Joint Optimization of Task Partial Offloading and Resource Allocation in a Dual-Blockchain-Enabled MEC System with Parallelism Constraints von Huang, Xiaowen, Huang, Tao, Zhao, Shuguang, Xiang, Wei, Zhang, Wenqian, Zhang, Guanglin

“… However, challenges such as secure data storage, timely task execution, and limited parallelism introduce complexities in task offloading decisions and resource allocation strategies …”
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Parallelism-aware Service Function Chaining and Embedding for 5G Networks von Zheng, Danyang, Peng, Chengzong, Liao, Xueting, Cao, Xiaojun

“… When physical nodes have unlimited computing resource, we propose the mixed integer programming based parallelism-aware SFC optimization (MIP-PS) algorithm …”
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Falcon: Addressing Stragglers in Heterogeneous Parameter Server Via Multiple Parallelism von Zhou, Qihua, Guo, Song, Lu, Haodong, Li, Li, Guo, Minyi, Sun, Yanfei, Wang, Kun

“… Previous solutions for solving stragglers may not fully exploit the computation resource of the cluster as evidenced by our experiments, especially in the heterogeneous environment …”
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Exploring Various Levels of Parallelism in High-Performance CRC Algorithms von Chi, Mucong, He, Dazhong, Liu, Jun

“… ) and thread-level parallelism (TLP). These resources, however, typically exhibit poor utilization on conventional cyclic redundancy check (CRC) algorithms …”
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Toward optimal operator parallelism for stream processing topology with limited buffers von Li, Wenhao, Zhang, Zhan, Shu, Yanjun, Liu, Hongwei, Liu, Tianming

“… and tuple’s average sojourn time with limited buffers. Based on this model, we also propose greedy algorithms to calculate the optimal parallelism for both the minimum latency and maximum throughput with resource constraints …”
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Exploiting resource-constrained parallelism in hard real-time streaming applications von Spasic, Jelena, Di Liu, Stefanov, Todor

“… ) graph is mapped onto a Multi-Processor System-on-Chip (MPSoC) platform. We propose a new unfolding graph transformation and an algorithm that adapts the parallelism …”
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An energy-aware scheduling method for parallel tasks based on an adaptive differential evolution algorithm in a multi-cloud environment von Wang, Qin, Hao, Yongsheng, Xu, Yue, Ma, Tinhuai, Zhang, Xin

“… ;•A SAEADE Algorithm is proposed to schedule tasks;•Comparisons are given to test the performance of our methods …”
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FastTuning: Enabling Fast and Efficient Hyper-Parameter Tuning With Partitioning and Parallelism of Search Space von Li, Xiaqing, Guo, Qi, Zhang, Guangyan, Ye, Siwei, He, Guanhua, Yao, Yiheng, Zhang, Rui, Hao, Yifan, Du, Zidong, Zheng, Weimin

“… Unfortunately, focusing on algorithm optimization rather than a large-scale parallel HPT system, existing SMBO-based approaches still cannot effectively remove their strong sequential nature, posing …”
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How Reduced Data Precision and Degree of Parallelism Impact the Reliability of Convolutional Neural Networks on FPGAs von Libano, F., Rech, P., Neuman, B., Leavitt, J., Wirthlin, M., Brunhaver, J.

“… Convolutional neural networks (CNNs) are becoming attractive alternatives to traditional image-processing algorithms in self-driving vehicles for automotive, military, and aerospace applications …”
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A Network Function Parallelism-Enabled MEC Framework for Supporting Low-Latency Services von Liu, Mengjie, Feng, Gang, Sun, Yao, Chen, Nan, Tan, Wei

“… Meanwhile, MEC is a resource-sharing system and thus fairness should be considered. In this paper, we propose a network function parallelism (NFP)-enabled MEC (NFPMec …”
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Multiobjective Evolution of Fuzzy Rough Neural Network via Distributed Parallelism for Stock Prediction von Cao, Bin, Zhao, Jianwei, Lv, Zhihan, Gu, Yu, Yang, Peng, Halgamuge, Saman K.

“… Fuzzy rough theory can describe real-world situations in a mathematically effective and interpretable way, while evolutionary neural networks can be utilized …”
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