Explaining how to generate FPGA-compatible custom test functions using ChatGPT!
This document introduces three methods for generating FPGA-compatible code for user-programmable devices using AI tools. It provides detailed explanations on using user-programmable FPGAs and Moku Cloud Compile, as well as defining prompts for generating VHDL. Examples include the implementation of signal limiters, creation of event counters, and converting Python to VHDL. [Contents (partial)] ■ Mastering user-programmable FPGAs ■ Prompts, adjustments, copying, deploying ■ Getting started with Moku Cloud Compile ■ Generating VHDL using ChatGPT: Defining prompts *For more details, please refer to the PDF document or feel free to contact us.
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【Other Published Content】 ■Example 1: Implementation of Signal Limiter ■Example 2: Creation of Event Counter ■Example 3: Converting Python to VHDL: sqrt(x) ■Bonus Prompt ■Summary *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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Three Methods to Generate FPGA-Compatible Code Using AI Tools
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Marubun is an "electronics trading company" that handles cutting-edge semiconductors, electronic components, and electronic application devices. It operates globally from approximately 50 locations around the world, providing products and services from over 800 suppliers to more than 3,000 customers. The business is promoted through a three-segment structure consisting of the Device Business, System Business, and Solution Business.