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Artificial intelligence enterprise human resource management system based on FPGA high performance computer hardware

机译：基于FPGA高性能电脑硬件的人工智能企业人力资源管理系统

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摘要

A significant role in Artificial Intelligence (AI) and Machine Learning (ML) tools in the recent development of intelligent systems. AI solutions to the many other areas, such as a different field of health care, the regional aircraft and vehicles, security, marketing, customer analysis and other significant changes. One of the major challenges hindering the potential of AI is high-performance computing resources on demand. Recently, the hardware accelerator to provide the required computing power of AI and ML tool development. In the literature, a hardware accelerator to accelerate the computationally intensive tasks built using FPGA. The accelerator provides high-performance hardware, while maintaining the required accuracy. In this work, proposed that the focus of AI and ML exploration tools available hardware accelerator, a systematic review of the literature. The results showed that, compared to the proof hardware implementation based on software implemented significant performance improvements due to the parallel operation similar precision, and using an optimization technique designed to exploit the target system device mapping. In addition, to achieve our FPGA-based neural network system to support its future use for other applications.
机译：在智能系统最近发展的人工智能（AI）和机器学习（ML）工具中的一个重要作用。 AI解决方案对众多其他领域，如不同的医疗领域，区域飞机和车辆，安全，营销，客户分析等重大变化。阻碍AI潜力的主要挑战之一是随时的高性能计算资源。最近，硬件加速器提供AI和ML工具开发所需的计算能力。在文献中，硬件加速器加速使用FPGA建造的计算密集型任务。加速器提供高性能硬件，同时保持所需的精度。在这项工作中，提出了AI和ML勘探工具可用的硬件加速器，对文献进行了系统审查。结果表明，与基于软件的证明硬件实现相比，由于并行操作相似的精度，并使用设计用于利用目标系统设备映射的优化技术，实现了显着的性能改进。此外，为了实现基于FPGA的神经网络系统，支持其未来对其他应用的使用。

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