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Titlebook: Algorithms and Architectures for Parallel Processing; 23rd International C Zahir Tari,Keqiu Li,Hongyi Wu Conference proceedings 2024 The Ed

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51#
發(fā)表于 2025-3-30 11:05:48 | 只看該作者
52#
發(fā)表于 2025-3-30 12:34:03 | 只看該作者
,Persistent Sketch: A Memory-Efficient and?Robust Algorithm for?Finding Top-k Persistent Flows, prior studies either do not separate persistent and non-persistent flows during online traffic processing and waste significant space to record numerous non-persistent flows, or only realize unstable separation that is not robust to flow frequency. We proposes Persistent Sketch (PE-Sketch), the fir
53#
發(fā)表于 2025-3-30 18:06:30 | 只看該作者
54#
發(fā)表于 2025-3-30 21:20:40 | 只看該作者
55#
發(fā)表于 2025-3-31 00:59:27 | 只看該作者
,GDTM: Gaussian Differential Trust Mechanism for?Optimal Recommender System,measures to safeguard users’ privacy. However, the implementation of such mechanisms is extremely difficult to ensure both recommendation accuracy and privacy protection. In this paper, we propose a novel protective mechanism that addresses this challenge. Our approach introduces the concept of diff
56#
發(fā)表于 2025-3-31 07:00:38 | 只看該作者
57#
發(fā)表于 2025-3-31 12:03:43 | 只看該作者
,CBA Sketch: A Sketching Algorithm Mining Persistent Batches in?Data Streams,g works primarily focus on the periodicity mining of batches, neglecting other numerous essential patterns. In this paper, we introduce the concept of ., a particular pattern in data streams where multiple occurrences of the same batch happen in at least . out of . measurement periods. Mining persis
58#
發(fā)表于 2025-3-31 15:41:31 | 只看該作者
,Joint Optimization of?System Bandwidth and?Transmitting Power in?Space-Air-Ground Integrated Mobileo facilitate various mobile applications, such as intelligent connected vehicles, internet of remote things (IoRT), etc. However, IoRT deployed in remote areas, e.g., oceans and deserts where terrestrial communication infrastructures are scarce or even unavailable, still suffers from poor quality of
59#
發(fā)表于 2025-3-31 18:21:35 | 只看該作者
60#
發(fā)表于 2025-4-1 00:35:35 | 只看該作者
,Accelerated Optimization for?Simulation of?Brain Spiking Neural Network on?GPGPUs,ing such a large-scale network faces expensive overhead in terms of computation and communication, especially for high firing rates. To address this problem, we propose an effective accelerated optimization method for simulating SNN on GPGPUs, which simultaneously takes into account workload balanci
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