C-based coding is increasingly used for the modeling and high-level synthesis of hardware components. This course provides software engineers with sufficient knowledge of FPGA hardware to efficiently code for high-level synthesis. Learn the high-level synthesis best practices, methodology, and subtleties of C-based coding for hardware modeling, synthesis, and verification.
Release dateSept 2012
Training duration1 Day
PriceUSD 800 or 8 Training Credits
Course Part NumberDSP23000
Who Should Attend?Software engineers looking to utilize high-level synthesis
- C, C++, or SystemC knowledge
- Software design experience
- Vivado System Edition 2012.2
- Architecture: Zynq-7000 All Programmable SoC and 7 series FPGAs
- Demo board: None
Skills gainedAfter completing this comprehensive training, you will have the necessary skills to:
- Describe the difference between software programming and hardware design
- Identify the fundamental principles of hardware design
- Model and simulate hardware components using C
- Code hardware components in C for high-level synthesis
- Introduction to Hardware Design for Software Designers
- Lab 1: Analyze a Simple Top-Level Hardware Design
- C-based Algorithmic Coding for Hardware
- Lab 2: High-Level Synthesis of a C Model
- C-based Test Bench Coding
- Lab 3: Creating a C-based Test Bench
- Lab 1: Analyze a Simple Top-Level Hardware Design - Analyze a top-level, two-frequency pulse width modulator (PWM) hardware system. Identify and analyze hardware design components, parallel flow, and control.
- Lab 2: High-Level Synthesis of C Model - Use various techniques and directives in Vivado HLS to improve design performance. The design under consideration accepts an image in a (custom) RGB format, converts it to the Y’UV color space, and applies a filter to the Y’UV image and converts it back to RGB.
- Lab 3: Creating a C-based Test Bench - Develop a verification environment used for testing a C-based design and verification in Vivado HLS. The design under consideration is the same design used in the previous lab, a Y’UV filter.
Please download the respective PDF of your course: *
* The course version can be found in the training registration form