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2017-02-22 2018-07-31 2020-02-25 These accelerators include the 64-bit ARM-based Octa-core CPU, an integrated Volta GPU, optional discrete Turing GPU, two deep learning accelerators (DLAs), multiple programmable vision accelerators (PVAs), and an array of other ISPs and video processors. DLAU: A Scalable Deep Learning Accelerator Unit on FPGA Chao Wang, Member, IEEE, Lei Gong, Qi Yu, Xi Li, Member, IEEE, Yuan Xie, Fellow, IEEE, and Xuehai Zhou, Member, IEEE Abstract—As the emerging field of machine learning, deep learning shows excellent ability in solving complex learning problems. That module, the DLA for deep learning accelerator, is somewhat analogous to Apple’s neural engine. Nvidia plans to start shipping it next year in a chip built into a new version of its Drive PX computer for self-driving cars, which Toyota plans to use in its autonomous-vehicle program.

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Deep Learning Accelerator.

This thesis involves the implementation of such a dedicated deep learning accelerator on the FPGA. The NVIDIA’s Deep Learning Accelerator (NVDLA), is encompassed in this research to explore SoC designs for integrated inference acceleration.
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As demand for the technology grows rapidly, we see opportunities for deep-learning accelerators (DLAs) in three general areas: the data center, automobiles, and client devices. Large cloud-service providers (CSPs) can apply deep learning to improve web search, language translation, email filtering, product recommendations, and voice assistants such as Alexa, Cortana, and Siri. PDF | In the recent years, deep learning has become one of the most important topics in computer science. Deep learning is a growing trend in the edge | Find, read and cite all the research you An AI accelerator is a class of specialized hardware accelerator or computer system designed to accelerate artificial intelligence applications, especially artificial neural networks, machine vision and machine learning.

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This thesis involves the implementation of such a dedicated deep learning accelerator on the FPGA. The NVIDIA’s Deep Learning Accelerator (NVDLA), is encompassed in this research to explore SoC designs for integrated inference acceleration. NVDLA, an open-source architecture, standardizes deep learning inference acceleration on hardware.


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