Výsledky vyhledávání - algorithms and (architectures OR architecture) for parallel processing

Evaluation of parallel particle swarm optimization algorithms within the CUDA™ architecture Autor Mussi, Luca, Daolio, Fabio, Cagnoni, Stefano

“…), which are, in fact, massively parallel processing architectures. In this paper we discuss possible approaches to parallelizing PSO on graphics hardware within the Compute Unified Device Architecture (CUDA…”
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An Alpha-Tree Algorithm for Massively Parallel Architectures Autor Carlinet, Edwin, Kaci, Quentin, Blin, Nicolas

“… In this paper, we propose the first massively parallel alpha-tree algorithm that leverages concurrent union-find data structures to exploit the SIMT…”
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Parallel and accurate k‐means algorithm on CPU‐GPU architectures for spectral clustering Autor He, Guanlin, Vialle, Stephane, Baboulin, Marc

“… We propose parallel optimization techniques for the k‐means algorithm on CPU and GPU. Particularly we use a two…”
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Splitwise: Efficient Generative LLM Inference Using Phase Splitting Autor Patel, Pratyush, Choukse, Esha, Zhang, Chaojie, Shah, Aashaka, Goiri, Inigo, Maleki, Saeed, Bianchini, Ricardo

“…Generative large language model (LLM) applications are growing rapidly, leading to large-scale deployments of expensive and power-hungry GPUs. Our…”
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A flexible algorithm for calculating pair interactions on SIMD architectures Autor Páll, Szilárd, Hess, Berk

“… In order to reach high performance on modern CPU and accelerator architectures, single-instruction multiple-data (SIMD…”
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MoDL: Model-Based Deep Learning Architecture for Inverse Problems Autor Aggarwal, Hemant K., Mani, Merry P., Jacob, Mathews

“…)-based regularization prior. The proposed formulation provides a systematic approach for deriving deep architectures for inverse problems with the arbitrary structure…”
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Auto-GNAS: A Parallel Graph Neural Architecture Search Framework Autor Chen, Jiamin, Gao, Jianliang, Chen, Yibo, Oloulade, Babatounde Moctard, Lyu, Tengfei, Li, Zhao

“… Graph neural architecture search effectively constructs the GNNs that achieve the expected model performance with the rise of automatic machine learning…”
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Pipelined Parallel FFT Architectures via Folding Transformation Autor Ayinala, M., Brown, M., Parhi, K. K.

“…This paper presents a novel approach to develop parallel pipelined architectures for the fast Fourier transform (FFT…”
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Parallel Static Learning Toward Heterogeneous Computing Architectures Autor Lin, Xiaoze, Lai, Liyang, Li, Huawei

“…), and graphics processing units (GPUs). We discuss the advantages and limitations of each of these architectures…”
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PV to Virtual Bus Parallel Differential Power Processing Architecture for Photovoltaic Systems Autor Nazer, Afshin, Isabella, Olindo, Manganiello, Patrizio

“…This article introduces an innovative parallel differential power processing (PDPP) architecture designed to mitigate the effect of mismatch among photovoltaic…”
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A parallel metaheuristic approach for ensemble feature selection based on multi-core architectures Autor Hijazi, Neveen Mohammed, Faris, Hossam, Aljarah, Ibrahim

“…•Parallel heterogeneous ensemble feature selection approaches are proposed.•A multi-core technologies are used to accelerate the ensemble feature selection…”
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Neural Speech Phase Prediction Based on Parallel Estimation Architecture and Anti-Wrapping Losses Autor Ai, Yang, Ling, Zhen-Hua

“… The proposed model is a cascade of a residual convolutional network and a parallel estimation architecture…”
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Parallel Pipelined Architecture and Algorithm for Matrix Transposition Using Registers Autor Zhang, Bo, Ma, Zhenguo, Luo, Wei

“…In this brief, we present a new algorithm and architecture for continuous-flow matrix transposition using registers…”
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Practical Implementation of Multichannel Filtered-x Least Mean Square Algorithm Based on the Multiple-Parallel-Branch With Folding Architecture for Large-Scale Active Noise Control Autor Shi, Dongyuan, Gan, Woon-Seng, He, Jianjun, Lam, Bhan

“… The feedforward multichannel filtered-x least mean square (FFMCFxLMS) algorithm is commonly used to dynamically adjust the transfer function of the multichannel controllers for different noise environments…”
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Max-PIM: Fast and Efficient Max/Min Searching in DRAM Autor Zhang, Fan, Angizi, Shaahin, Fan, Deliang

“… In this work, for the first time, we propose a novel 'Min/Max-in-memory' algorithm based on iterative XNOR bit-wise comparison, which supports parallel inmemory searching for minimum and maximum…”
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Data-Parallel Hashing Techniques for GPU Architectures Autor Lessley, Brenton, Childs, Hank

“… This study surveys the state-of-the-art research on data-parallel hashing techniques for emerging massively-parallel, many-core GPU architectures…”
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An Ising Model-Based Parallel Tempering Processing Architecture for Combinatorial Optimization Autor Zhang, Yang, Wang, Xiangrui, Fan, Gaopeng, Cao, Yuan, Liu, Yiqiu, Yang, Yongkui, Yao, Enyi

“… This article presents a novel parallel tempering processing architecture (PTPA) based on the fully connected Ising model to address these issues…”
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Multilayer perceptron architecture optimization using parallel computing techniques Autor Castro, Wilson, Oblitas, Jimy, Santa-Cruz, Roberto, Avila-George, Himer

“…The objective of this research was to develop a methodology for optimizing multilayer-perceptron-type neural networks by evaluating the effects of three neural architecture parameters, namely, number of hidden layers (HL…”
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MIMO Radar Parallel Simulation System Based on CPU/GPU Architecture Autor Liu, Gaogao, Yang, Wenbo, Li, Peng, Qin, Guodong, Cai, Jingjing, Wang, Youming, Wang, Shuai, Yue, Ning, Huang, Dongjie

“… combined with the previous algorithms, and, on this basis, a parallel simulation system for the MIMO radar based on the CPU/GPU architecture is proposed…”
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Scheduling-Guided Automatic Processing of Massive Hyperspectral Image Classification on Cloud Computing Architectures Autor Wu, Zebin, Sun, Jin, Zhang, Yi, Zhu, Yaoqin, Li, Jun, Plaza, Antonio, Benediktsson, Jon Atli, Wei, Zhihui

“…The large data volume and high algorithm complexity of hyperspectral image (HSI) problems have posed big challenges for efficient classification of massive HSI data repositories…”
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