WebThe rapid increase in performance, programmability, and availability of graphics processing units (GPUs) has made them a compelling platform for computationally demanding tasks in a wide variety of application domains. One of these is real-time ... WebGraph Processing on GPUs: A Survey 0:3 Richardson and Domingos 2001]. To facilitate the development of arbitrary large-scale graph analysis applications, researchers have also developed generic graph program-ming frameworks both in the context of a single machine such as GraphChi [Kyrola

Graph Processing on GPUs: A Survey hgpu.org

WebCorpus ID: 53048478; Københavns Universitet Graph Processing on GPUs : A Survey @inproceedings{Shi2024KbenhavnsUG, title={K{\o}benhavns Universitet Graph Processing on GPUs : A Survey}, author={Shi and - Qiang and Sheng}, year={2024} } WebGroute [4], two cutting-edge GPU-based graph process-ing systems, experimental results show that DiGraph offers improvements of 2.25–7.39 and 1.59–3.54 times for iterative directed graph processing on four GPUs, re-spectively. Besides, when the number of GPUs increases from one to four, the graph processing time of DiGraph flying objects being shot down

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Web2 hours ago · Efficient algorithms that utilize parallel computing and GPU acceleration are necessary to meet the computational demands of processing large volumes of surveillance video data in real-time. Additionally, distinguishing normal from abnormal behavior across different contexts and types is another key challenge in SVAD. WebThis article surveys the key issues of graph processing on GPUs, including data layout, memory access pattern, workload mapping, and specific GPU programming. In this article, we summarize the state-of-the-art research on GPU-based graph processing, analyze … http://grid.hust.edu.cn/xhshi/paper/gpu-survey.pdf flying objects