Suchergebnisse - algorithms and (architectural OR architecture) for parallel processing

An architectural framework for accelerating dynamic parallel algorithms on reconfigurable hardware von Chen, Tao, Srinath, Shreesha, Batten, Christopher, Suh, G. Edward

“… In this paper, we propose ParallelXL, an architectural framework for building application-specific parallel accelerators with low manual effort …”
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A Fast CTU-level SAO Algorithm and Its Hardware Architecture for AVS3 Video Coding von Lin, Hao, Wen, Yingbo, Xiang, Guoqing, Qu, Xinyu, Zhang, Peng, Yan, Wei

“… To address this problem, a fast Coding Tree Unit (CTU)-level SAO algorithm and its hardware architecture is proposed …”
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Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design von Zhang, Xingyao, Song, Shuaiwen Leon, Xie, Chenhao, Wang, Jing, Zhang, Weigong, Fu, Xin

“… In recent years, the CNNs have achieved great successes in the image processing tasks, e.g …”
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Implementing a Parallel Image Edge Detection Algorithm Based on the Otsu-Canny Operator on the Hadoop Platform von Tian, Yun, Wang, Min, Chen, Lichao, Cao, Jianfang

“… parallel programming model that runs on the Hadoop platform. The Otsu algorithm is used to optimize the Canny …”
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Scalable Parallel Processing: Architectural Models, Real-Time Programming, and Performance Evaluation von Mirela Sino, Ervin Domazet

“… This research paper analyzes and highlights the benefits of parallel processing to enhance performance and computational efficiency in modern computing systems …”
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Evaluation of parallel particle swarm optimization algorithms within the CUDA™ architecture von 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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Resampling algorithms and architectures for distributed particle filters von Bolic, M., Djuric, P.M., Sangjin Hong

“… In this paper, we propose novel resampling algorithms with architectures for efficient distributed implementation of particle filters …”
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Algorithm and Architecture of a Low-Complexity and High-Parallelism Preprocessing-Based K -Best Detector for Large-Scale MIMO Systems von Peng, Guiqiang, Liu, Leibo, Zhou, Sheng, Xue, Yang, Yin, Shouyi, Wei, Shaojun

“… To address this problem, this paper proposes a preprocessing algorithm combining Cholesky sorted QR decomposition and partial iterative lattice reduction (CHOSLAR …”
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IOPA: I/O-aware parallelism adaption for parallel programs von Liu, Tao, Liu, Yi, Qian, Chen, Qian, Depei

“… With the development of multi-/many-core processors, applications need to be written as parallel programs to improve execution efficiency …”
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An Alpha-Tree Algorithm for Massively Parallel Architectures von 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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Accelerating Fourier and Number Theoretic Transforms using Tensor Cores and Warp Shuffles von Durrani, Sultan, Chughtai, Muhammad Saad, Hidayetoglu, Mert, Tahir, Rashid, Dakkak, Abdul, Rauchwerger, Lawrence, Zaffar, Fareed, Hwu, Wen-mei

“… To speed things up, fast Fourier transform (FFT) algorithms, which are reduced-complexity formulations for computing the DFT of a sequence, have been proposed and implemented for traditional processors and their corresponding instruction sets …”
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An Efficient Implementation of the Bellman-Ford Algorithm for Kepler GPU Architectures von Busato, Federico, Bombieri, Nicola

“… ) involves much more redundant work and a consequent waste of power consumption. This article presents a parallel implementation of the Bellman-Ford algorithm that exploits the architectural characteristics of recent GPU architectures (i.e …”
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STREAMINGGS: Voxel-Based Streaming 3D Gaussian Splatting with Memory Optimization and Architectural Support von Zhang, Chenqi, Feng, Yu, Zhao, Jieru, Liu, Guangda, Ding, Wenchao, Wu, Chentao, Guo, Minyi

“… We introduce STREAMINGGS, a fully streaming 3DGS algorithm-architecture co-design that achieves fine-grained pipelining and reduces DRAM traffic by transforming from a tile-centric rendering …”
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Parallel Branch-And-Bound Algorithms: Survey and Synthesis von Gendron, Bernard, Crainic, Teodor Gabriel

“… We present a detailed and up-to-date survey of the literature on parallel branch-and-bound algorithms …”
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Parallel and accurate k‐means algorithm on CPU‐GPU architectures for spectral clustering von 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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An efficient heterogeneous parallel password recovery system on MT-3000 von Luo, Yongtao, Liu, Jie, Gong, Chunye, Li, Tun

“… However, as encryption algorithms and complex passwords become more prevalent for security purposes, traditional CPU-based and GPU-based password recovery systems are struggling to meet the time …”
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Hardware-Efficient and High-Throughput LLRC Segregation Based Binary QC-LDPC Decoding Algorithm and Architecture von Verma, Anuj, Shrestha, Rahul

“… ) segregation technique. Subsequently, we present hardware-efficient QC-LDPC decoder-architecture based on the proposed algorithm and additional architectural optimizations …”
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An efficient hardware supported and parallelization architecture for intelligent systems to overcome speculative overheads von Kumar, Sudhakar, Singh, Sunil K., Aggarwal, Naveen, Gupta, Brij B., Alhalabi, Wadee, Band, Shahab S.

“… time‐consuming and central processing unit intensive. As a consequence, parallel processing systems are gaining popularity to enhance overall computer performance …”
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Auto-GNAS: A Parallel Graph Neural Architecture Search Framework von 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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Max-PIM: Fast and Efficient Max/Min Searching in DRAM von 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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