在ARM及FPGA為基礎的邊緣設備上實現IoT演算法
(Implementing IoT algorithms onto ARM- and FPGA-based edge devices)

Simulink支援邊緣節點硬體平台的原型化設計以建立物聯網系統,您可以在Simulink中開發預處理的演算法,然後使用HDL和C程式碼產生的產品進行轉檔,並佈署到嵌入式硬體上。轉檔部署演算法到設備的運算,藉由這些裝置計算能力的優勢,大幅降低了必須發送給雲端數據聚集器的數據量。

在本演講上,我們將展示如何使用Simulink硬體支援包(Simulink hardware support package)進行演算法硬體原型化,以及如何將MATLAB演算法產生轉成嵌入式C程式碼。

本演講可協助正使用MATLAB開發和測試MATLAB演算法的工程師,幫助他們將演算法放到邊緣設備上。

Simulink supports edge node hardware platforms for prototyping and building IoT systems. You can develop preprocessing algorithms in Simulink and then deploy them on your embedded hardware using HDL and C code generation. Deploying preprocessing algorithms on the devices' computing capabilities takes advantage of the computing capabilities on these device and reduces the amount of data that must be sent to the cloud data aggregator.

In this session, we show how to prototype your algorithms with Simulink hardware support package, as well as to generate embedded C code from your MATLAB algorithms.

This session is geared toward algorithm engineers developing and testing algorithms in MATLAB who are looking to put algorithms on edge devices.