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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,An Improved GPU Acceleration Framework for Smoothed Particle Hydrodynamics,his paper proposes an efficient GPU-accelerated framework for SPH computation on high-performance computing systems. To this end, several performance acceleration tools are developed to speed up the GPU implementation. The first one puts forward an efficient block size for GPU kernels, the second on

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,A Game Theory Based Task Offloading Scheme for Maximizing Social Welfare in Edge Computing,s the issue of service unavailability caused by power constraints on end devices when handling user application requests. End users offload computational tasks and associated data to the infrastructures at the network edge. Even if executing tasks at the edge can reduce energy consumption and comput

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,Malware Detection Method Based on Visualization,bile devices. Malware continues to evolve and update, which often developing new variants or changing existing features to evade detection. Traditional feature based malware detection methods are limited in their ability to detect variants, and are computationally resource-intensive. Considering the

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,TOC: Joint Task Offloading and Computation Reuse in Vehicular Edge Computing,e challenge. Vehicle edge computing (VEC) has been proposed as an advanced paradigm that leverages edge servers such as road side units (RSUs) to offload tasks, thereby enhancing vehicle services. However, similar computation tasks in the VEC environment result in computational redundancy, imposing

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,Distributed Task Offloading for IoAV Using DDP-DQN,icles (IoAV). If delay-sensitive vehicle tasks are not completed on time, it will lead to bad consequences for IoAV. Task offloading technology can solve the problem that the vehicle cannot meet the task requirements. However, highly dynamic vehicle networks and diverse vehicle applications require

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