Table of Contents
AWS EC2 FPGA Hardware and Software Development Kits
- FPGA Hardware Development Kit (HDK)
- FPGA Software Development Kit (SDK)
- FPGA Developer AMI available on AWS Marketplace
- Developer Support
Building an example AFI
- Using an AFI on EC2 FPGA Instances
AWS EC2 FPGA Hardware and Software Development Kits
git clone https://github.com/aws/aws-fpga.git
to download this HDK+SDK release to your EC2 Instance or local server. For an SSH connection execute
git clone email@example.com:aws/aws-fpga.git
. To get help with connecting to Github via SSH
The Release Notes document covers the list of supported features, programming environment, and known restrictions.
NOTE: The HDK and SDK are tested and supported for Linux operating systems, for the time being, other OSs haven't been tested by AWS
Please click the "Watch" button in GitHub upper right corner to stay posted.
The HDK directory contains usuful information and scripts for developers wanting to start building Amazon FPGA Images (AFI). It includes the development environment, simulation, build and AFI creation scripts. The HDK can be installed on any on-premises server or an EC2 instance. The HDK is not required if you are using a pre-built AFI and not planning to build your own AFI. The following resources provide further details:
The SDK directory includes the runtime environment required to run on EC2 FPGA instances. It includes the drivers and tools to manage the AFIs that are loaded to EC2 FPGA instance slots. The SDK isn't required during the AFI development process; it is only required once an AFI is loaded onto an EC2 FPGA instance. The following resources provide further details:
FPGA Developer AMI
AWS Marketplace offers the FPGA developer AMI for development on EC2 instances. The FPGA Developer AMI comes with Xilinx tools and AWS CLI pre-installed. The HDK examples and quick start can be run on any C4/M4/R4/T2.2XLARGE EC2 instance. Given the large size of the FPGA used in AWS FPGA instances, the implementation tools require 32GiB Memory (C4.4XLarge, M4.2XLarge, R4.XLarge, T2.2XLarge). C4.4XLarge and C4.8XLarge would provide the fastest execution time with 30 and 60GiB of memory respectively.
The Amazon FPGA Development User Forum is the first place to go to post questions, learn from other users and read announcements from the EC2 FPGA team.
- To be notified on important messages click on the “Watch Forum” button on the right side of the screen.
- In case you can't see "Your Stuff" details, you will need to logout using the logout button on the forums page and log back in again.
Building a Custom Logic AFI for AWS FPGA Instances
Developers can build their own Custom Logic (CL) and deploy it on AWS. The CL must comply with the AWS Shell Interface Specifications , and pass through the build scripts.
The CL Examples directory is provided to assist developers in creating a functional CL implementation. Each example includes:
The source code for the example under the
- The timing, clock and placement constraints files, scripts for compiling the example design. (This requires running in an instance/server that have Xilinx tools and license installed. Developers are recommended to use the FPGA Development AMI available free of charge onAWS Marketplace).
- The final build, called Design Checkpoint (DCP) that can be submitted for AWS to generate the AFI.
- An AFI-ID for a pre-generated AFI that matches the example design.
- Software source code required on the FPGA-enabled instance to run the example.
- Software binary that can be loaded on an FPGA-enabled instance to test the AFI.
- An AFI can be created using the files in #1, #2, and #3. The AFI creation can take place on any EC2 instance or on-premises.
- The AFI can be used in an EC2 F1 instance by using the files in #4, #5 and #6.
By following the example CLs, a developer will learn how to interface to the AWS Shell of the FPGA, compile the source code to create an AFI, and load/run an AFI from the F1 instance for use.
AWS FPGA HDK and SDK run in Linux environment only.
The build stage uses Xilinx's Vivado tool set. In case you build on-premises you should have an installed Vivado that has the correct license. Please check for supported versions of Vivado . Release Notes may contain additional information.
aws s3 <action>and
aws ec2 create-fpga-imagerequire having AWS CLI installed, having an active AWS account, and the server/instance has been configured with your credentials and the same AWS region as your S3 bucket via
aws configurecommand line. It’s also required that your instance and the S3 bucket where the tarball reside in will be in the same AWS region. Please refer to AWS documentation for help with configuring the AWS CLI.
The Getting started with CL examples guide provides step-by-step instructions to build an AFI from one of the provided examples, register it with AWS, and load it on an EC2 FPGA instance.
Using an AFI on EC2 FPGA Instances
Now that you have built an AFI, or if you want to use one of the example pre-built AFIs provided by AWS, you need to launch an EC2 FGPA Instance, and install the SDK as detailed at: SDK Quick Start