add convolution design

[whitepau]

Adding a New Sample(s)

Description

This project demonstrates how to use SYCL HLS to create a 2D Convolution IP that can be used in your Intel® Quartus® Prime projects.

Purpose

This project demonstrates how to use SYCL HLS to create a 2D Convolution IP that can be used in your Intel® Quartus® Prime projects. Convolution is a cornerstone problem in video processing designs. It commonly appears in both hardware and software systems, but in general, software implementations do not efficiently synthesize into RTL. This reference design includes:

• A re-usable C++ library that generates an efficient line buffer hardware module. This hardware module is the foundation of convolution algorithms, and other similar algorithms.

• An example of how to chain together multiple video processing modules using sycl::pipes, which behave like streaming interfaces in hardware designs.

• A video-processing testbench that you can use to test your own designs. This testbench consumes image data from RAM and parcels it into streaming transactions. This makes it easy to 'stream' a test image into your video design.

Checklist

Administrative

• Review sample design with the appropriate Domain Expert: Paul White
• If you have any new dependencies/binaries, inform the oneAPI Code Samples Project Manager

Code Development

• Implement coding guidelines and ensure code quality. see wiki for details
• Adhere to readme template
• Enforce format via clang-format config file
• Adhere to sample.json specification. https://github.com/oneapi-src/oneAPI-samples/wiki/sample-json-specification
• Ensure/create CI test configurations for sample (ciTests field) https://github.com/oneapi-src/oneAPI-samples/wiki/sample-json-ci-test-object
• Run jsonlint on sample.json to verify json syntax. www.jsonlint.com

Security and Legal

• OSPDT Approval (see Project Manager for assistance)
• Compile using the following compiler flags and fix any warnings, the falgs are: "/Wall -Wformat-security -Werror=format-security"
• Bandit Scans (Python only)
• Virus scan

Review

• Review DPC++ code with Paul Peterseon. (GitHub User: pmpeter1)
• Review readme with Tom Lenth(@tomlenth) and/or Project Manager
• Tested using Dev Cloud when applicable