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所在平台: Udemy |
课程主页: https://www.udemy.com/course/fpga101-digital-system-design-using-verilog-and-python/
课程评论：没有评论
课程名称：FPGA101：使用Verilog和Python进行数字系统设计 课程概述： FPGA（现场可编程门阵列）通常用于实现需要计算加速的数字信号处理应用。它们也用于在将数字电路转化为专用集成电路（ASIC）之前验证电路。此课程重点介绍Verilog语言，这是一种用于描述数字电路的硬件描述语言（HDL），适用于FPGA和ASIC目标。课程讲授数字电路的基本构建知识，涵盖四个基本主题：组合逻辑、时序逻辑、有限状态机（FSM）及带数据路径的有限状态机（FSMD）。此外，还讲解了将数字电路集成到ARM处理器中的三个主题。课程最后一个项目将介绍如何构建一个迷你版的Google TPU。在这个最终项目中，您将学习构建针对基于矩阵乘法核心的神经网络加速器的方法论。矩阵乘法在工程应用中非常广泛。一旦掌握这种设计方法论，您就能将其应用于任何想要的设计项目。 完成该课程后，您将获得结业证书。如果您对课程不满意，Udemy提供30天的无风险退款保障，让您放心学习。期待在课程中见到您！
FPGAs are often used to implement digital signal processing applications that require computation acceleration. FPGAs are also used to verify digital circuits before taping them out into silicon chips, called application-specific integrated circuits (ASICs). The Verilog/VHDL hardware description language (HDL) is used to describe the digital circuits, both for FPGA and ASIC targets. This course focuses on the Verilog language.This course teaches the fundamentals of building digital circuits with Verilog. Four topics of fundamental digital circuits are explained: combinational logic, sequential logic, finite state machines (FSM), and finite state machines with data paths (FSMD). Three more topics about integrating the digital circuit on the FPGA into an ARM processor are explained. At the end of the course, a final project on how to build a miniature Google TPU is explained.In the final project, you are going to learn the methodology design of an accelerator for a neural network based on a matrix multiplication core. Matrix multiplication is used in engineering for many applications. Once you get familiar with the methodology, then you should be able to apply the methodology design to any design that you want.After finishing the course, you will receive a certified certificate of completion. A complete Udemy 30-day money-back guarantee if you are not satisfied with this course, allowing you to study with no risk.See you within the course.
