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检索条件"任意字段=National Conference on Parallel Computing Technologies"

共 1681 条记录，以下是1-10 订阅

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2017 national conference on parallel computing technologies, PARCOMPTECH 2017

2017 National Conference on Parallel Computing Technologies,...

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2017 national conference on parallel computing technologies, PARCOMPTECH 2017

ISBN: (纸本)9781509041459

The proceedings contain 8 papers. The topics discussed include: an improved Firefly algorithm for permutation routing in baseline multistage interconnection network;performance comparison of various STM concurrency control protocols using Synchrobench;parallel 2D and 3D acoustic modeling application for hybrid computing platform of PARAM Yuva II;significance of hierarchical and partitioning based clustering in grouping aware data placement for data intensive applications;identifying pitfalls in automatic parallelization of NAS parallel benchmarks;average end-to-end delay of customised ZigBee stack;BDPGx - a big data platform for graph-based pharmacogenomics data;and accelerated spam filtering with enhanced KMP algorithm on GPU.

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2015 national conference on parallel computing technologies, PARCOMPTECH 2015

2015 National Conference on Parallel Computing Technologies,...

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2015 national conference on parallel computing technologies, PARCOMPTECH 2015

ISBN: (纸本)9781479969166

The proceedings contain 11 papers. The topics discussed include: performance analysis of the parallel code execution for an algorithmic trading system, generated from UML models by end users;DVFS based heterogeneous scheduling for power optimisation and load balancing in HPC clustersaper;security strengthening by combining fingerprints;designing a parallel algorithm for heat conduction using MPI, OpenMP and CUDA;a technical survey on various VDC request embedding techniques in virtual data center;analysis of performance enhancement on graphic processor based heterogeneous architecture: a CUDA and MATLAB experiment;multithreaded implementation of data intensive applications with overlapped I/O and computation;energy efficient rescheduling algorithm for high performance computing;crawling through web to extract the data from social networking site - Twitter;and MRA: multi-level routing algorithm to balance the traffic load in wireless ad hoc network.

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Fast Grid Emissions Sensitivities using parallel Decentralized Implicit Differentiation

Fast Grid Emissions Sensitivities using Parallel Decentraliz...

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2024 International conference on Communications Control and computing technologies for Smart Grids

作者： Degleris, Anthony Valenzuela, Lucas Fuentes Rajagopal, Ram Pavone, Marco El Gamal, Abbas Stanford Univ Dept Elect Engn Stanford CA 94305 USA Stanford Univ Dept Civil & Environm Engn Stanford CA USA Stanford Univ Dept Aeronaut & Astronaut Stanford CA USA

ISBN: (纸本)9798350318562;9798350318555

Marginal emissions rates-the sensitivity of carbon emissions to electricity demand-are important for evaluating the impact of emissions mitigation measures. Like locational marginal prices, locational marginal emissions rates (LMEs) can vary geographically, even between nearby locations, and may be coupled across time periods because of, for example, storage and ramping constraints. This temporal coupling makes computing LMEs computationally expensive for large electricity networks with high storage and renewable penetrations. Recent work demonstrates that decentralized algorithms can mitigate this problem by decoupling timesteps during differentiation. Unfortunately, we show these potential speedups are negated by the sparse structure inherent in power systems problems. We address these limitations by introducing a parallel, reversemode decentralized differentiation scheme that never explicitly instantiates the solution map Jacobian. We show both theoretically and empirically that parallelization is necessary to achieve non-trivial speedups when computing grid emissions sensitivities. Numerical results on a 500 node system indicate that our method can achieve greater than 10x speedups over centralized and serial decentralized approaches.

关键词： Sensitivity analysis distributed optimization implicit differentiation locational marginal emissions

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Machine Learning-Based Prediction of MPI Communication Time in High-Performance computing Applications 6

Machine Learning-Based Prediction of MPI Communication Time ...

引用

6th International conference on Frontier technologies of Information and Computer, ICFTIC 2024

作者： Wang, Zhuang Zhuang, Yuan Zeng, Yunhui Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Jinan China

ISBN: (纸本)9798331541750

The rapid advancements in high-performance computing (HPC) have made large-scale parallel computing feasible. As a commonly used parallel programming model, Message Passing Interface (MPI) plays a crucial role in HPC systems and directly affects the performance and efficiency of these applications. Therefore, modeling and predicting the performance of MPI communication is critically important. This paper utilizes a machine learning-based approach to predict MPI communication time. It uses performance analysis tools to collect real-time communication data and select critical features related to execution time. The data is categorized, then, for each type of MPI communication, a dedicated regression model is trained. Firstly, XGBoost and Artificial Neural Networks (ANN) are employed for function level modeling. Then, fusion techniques are used to combine XGBoost and ANN models to improve prediction accuracy. Finally, these function level models are integrated into an application level model to predict the overall communication time. This model is evaluated using CG, FT, and CPMD. Experimental results show that the average prediction errors of the model are 12.6%, 13.2%, and 13.5%, with a minimum error of 7%. © 2024 IEEE.

关键词： Prediction models

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Wideband Band Pass Filter For High Band 5G Applications

Wideband Band Pass Filter For High Band 5G Applications

引用

2024 International conference on Electrical, Electronics and computing technologies, ICEECT 2024

作者： Ranjan, Vaibhav Kumar Kumar, Amit Jhariya, Dharmendra National Institute of Technology Department of Electronics and Communication Delhi India

ISBN: (纸本)9798350378092

In this article, a concise wideband bandpass filter (BPF) with the intended passband characteristics and improved edge selectivity is formulated. This study proposes the use of a bandpass filter for 5G applications. The wideband spectrum (21-29 GHz) is the intended target of the filter's construction. The filter is comprised of two quarter-wavelength parallel-coupled line sections operating at an approximate centre frequency of 26.4 GHz. In the middle, between the coupled line sections, a parallel stepped-impedance open-ended stub is loaded. To enhance effectiveness of the filtering process, a Y-shaped stub is integrated into the design. At the pivotal juncture where the coupled line segments meet, a Y-shaped remnant is placed. By implementing this alteration, the filter is capable of attaining an increased degree of selectivity in its filtration process. Following the implementation of the filter configuration on an RT/duroid 6002 substrate, HFSS simulation was employed to ascertain the validity of the proposed filter. © 2024 IEEE.

关键词： 5G mobile communication systems

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Efficient OAM-Based Programmable Hardware Accelerator Architecture 14

Efficient OAM-Based Programmable Hardware Accelerator Archit...

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14th International conference on Advanced Computer Information technologies, ACIT 2024

作者： Melnyk, Viktor Melnyk, Anatoliy Rahma, Mohammad Lviv Polytechnic National University Department of Information Technologies Security Lviv Ukraine John Paul Ii Catholic University of Lublin Faculty of Natural and Technical Sciences Lublin Poland It Step University Lviv Ukraine Al-Mustaqbal University Computer Engineering Department Babylon Iraq

ISBN: (纸本)9798350350036

Today, there are a large number of tasks that involve processing data in the form of arrays. These include, in particular, algorithms for fast orthogonal transformations and cryptographic protection of information, whose structure remains consistent regardless of the data. For such algorithms, hardware accelerators are usually used to improve the system performance characteristics. Their architecture traditionally involves an addressable memory, which limits their productivity increase. An efficient programmable hardware accelerator architecture based on conflict-free parallel ordered access memory (OAM) that is based on the corresponding model of computing is proposed in this paper. The approach to OAM-based programmable parallel hardware accelerator design is described and its structure is proposed. The benefits of the proposed programmable hardware accelerator architecture compared to existing conventional architectures are emphasized. © 2024 IEEE.

关键词： parallel architectures

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Resource Scheduling for User-Centric Cell-Free Network with computing-Constrained Access Points 29

Resource Scheduling for User-Centric Cell-Free Network with ...

引用

29th IEEE Asia Pacific conference on Communications, APCC 2024

作者： Li, Xiyue Li, Na Li, Xiao Tao, Xiaofeng Beijing University of Posts and Telecommunications National Engineering Research Center for Mobile Network Technologies Beijing100876 China

ISBN: (纸本)9798331517816

To meet future ultra-low latency and extensive computing requirements, resource-constrained users should utilize ubiquitously available computing resources at the network edge. User-centric cell-free networks can effectively utilize the resources of multiple access points (APs) to serve users. However, the computing resources of a single AP are often limited due to deployment environment or cost, which makes the resource allocation problem more challenging. In this paper, we propose a parallel offloading scheme with limited AP computing resources under user-centric cell-free networks. Maximize the total users' uplink rate and minimum delay margin by optimizing the users' uplink transmission power and task allocation ratio. And we solve the non-convex optimization problem based on fractional programming (FP). Simulation results show that jointly scheduling the computing and communication resources of multiple APs can effectively alleviate problems such as task offloading failure caused by limited computing resources of a single AP. © 2024 IEEE.

关键词： Convex optimization

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Mankov Chain Optimizations on Shenwei Processor 6

Mankov Chain Optimizations on Shenwei Processor

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6th International conference on Frontier technologies of Information and Computer, ICFTIC 2024

作者： Peng, Huaiyun Wu, Shuqin Wu, Jiajing Wei, Ziliang Shan, Luoyou Zhao, Xiaomei Han, Jingpeng Ye, Junyu National key laboratory of electromagnetic environment Chinese Research Institute of Radiowave Propagation Qingdao China

ISBN: (纸本)9798331541750

In this paper, we focus on the optimizations of Markov chain on Shenwei processor. In order to increase the speed of simulation calculations using Markov chain, we present a series of optimizations for Shenwei processor according to its structural and instruction characteristics. First, we use the Athread thread library to accelerate and optimize the slave cores to achieve a fine-grained division of the slave core arrays, and based on this, the MPI technology is used to expand the processor from a single core group to a multi-core group for parallel computing. Second, for the limited LDM space, access optimization is performed to achieve the optimal LDM space allocation scheme. Finally, for the problem of increasing communication frequency and communication ratio caused by parallel computing of multi-core group, we adopted DMA data multiplexing and register communication techniques to improve the communication performance. © 2024 IEEE.

关键词： Markov processes

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Quantum Computational Approaches to Achieve Intrinsic parallelization 15

Quantum Computational Approaches to Achieve Intrinsic Parall...

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15th International conference on computing Communication and Networking technologies, ICCCNT 2024

作者： Soni, Minakshi Sharma, Sanjay Maulana Azad National Institute of Technology Department of Computer Applications Bhopal India

ISBN: (纸本)9798350370249

Quantum computation is the effective and inherent parallelized way of solving real world problems over quantum computer. The real world demands for a parallelization just to achieve the performance speed-up and for obtaining optimized computational results. This paper investigates various quantum computational approaches to achieve intrinsic parallelization, focusing on superposition and entanglement to perform multiple computations simultaneously. Based on a comparative classical-quantum aspect, the emergence and significance of the quantum computing is justified. The key quantum algorithms, including Shor's and Grover's, are analyzed for their parallel processing potential and impact on solving complex problem. The potential of quantum computation in the cryptography, cybersecurity and machine learning generate benefits and enhances performance using the quantum approaches. This paper aims to advance the understanding and the development of quantum computational methods as highly efficient and it contributes to near future of high-performance computing through intrinsic parallelization. © 2024 IEEE.

关键词： Intrinsic parallelization Quantum Algorithm Quantum Computation Quantum Cryptography Superposition

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High Performance and Hardware Efficient Stochastic computing Elements for Deep Neural Network 6

High Performance and Hardware Efficient Stochastic Computing...

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6th World conference on computing and Communication technologies, WCCCT 2023

作者： Hu, Shuai Han, Kaining Hu, Jianhao University of Electronic Science and Technology of China National Key Lab. of Science and Technology on Communications Chengdu611731 China

ISBN: (纸本)9781665461467

Three high performance and hardware efficient stochastic computing elements are proposed for the implementation of deep neural network. A hybrid stochastic multiplier which combines unipolar coding and bipolar coding is proposed to achieve efficient trade-off between high accuracy and low hardware consumption. Then, a stochastic accumulative parallel counter is present to achieve high accuracy stochastic-To-binary conversion with much less hardware consumption. Finally, a stochastic ReLU function is designed to precisely realize ReLU function in stochastic computing without approximate error. © 2023 IEEE.

关键词： Deep neural networks

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