One of the strengths of using FPGA and SoC based products is the ability to develop custom solutions through innovating new algorithms.
A developer, for example, may want to spin a motor more efficiently, be able to process camera images more efficiently or filter radio signals faster than what current silicon solutions exist on the market. Unliked fixed solutions, such as DSP or application specific processors; FPGA hardware offers a flexible hardware platform that enables the prototyping of a new algorithm and allows continual updating of that algorithm as the development process continues.
MATLAB has been the programming language of choice for algorithm development and implementation. Beyond simulation, Simulink also has the capability to deploy algorithms to hardware with the help of tools such as HDL Coder to products , such as Xilinx FPGAs and SoCs.
Simulink is used to help address issues such as converting floating point to fixed point designs, timing issues, integration of control logic, analog component considerations and combining existing algorithmic IP.
Attend this webinar to have a preview of our two-day hands-on Programming Xilinx Zynq SoCs with MATLAB and Simulink course.
The course focuses on developing and configuring models in Simulink® and deploying on Xilinx® Zynq®-7000 All Programmable SoCs. The course is designed for Simulink users who intend to generate, validate, and deploy embedded code and HDL code for software/hardware codesign using Embedded Coder®and HDL Coder™. A Zedboard™ is provided to each attendee for use throughout the course. The board is programmed during the class and is yours to keep after the training.