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README.md

Table of Contents

  1. Overview of AWS EC2 FPGA Development Kit
  2. Getting Started
  3. FPGA Developer AMI available on AWS Marketplace
  4. FPGA Hardware Development Kit (HDK)
  5. FPGA Software Development Kit (SDK)
  6. OpenCL Development Environment with Amazon EC2 F1 FPGA Instances to accelerate your C/C++ applications
  7. Developer Support
  8. Recommended Documentation

Overview of AWS EC2 FPGA Development Kit

AWS EC2 FPGA Development Kit is a set of free development and runtime tools that provide everything needed to develop, simulate, debug, compile and run hardware accelerated applications on Amazon EC2 F1 instances, EC2 F1 instances are high-performance compute instances with field programmable gate arrays (FPGAs) that enable the development and deployment of custom hardware accelerators on AWS cloud.

AWS EC2 FPGA Development Kit content is distributed between this github repository and FPGA Developer AMI provided by AWS, developers are able to develop, simulate and debug an FPGA design on compute EC2 instance with no cost of development or runtime tools. Once the FPGA design (also called CL - Custom logic) is complete, developers create the Amazon FPGA Image (AFI), and easily deploy it to the F1 instance. AFIs are reusable, shareable and can be deployed in a scalable and secure way. Alt text

Overview of Development Environments

Development Environment Description Accelerator Language Development Tool Debug Options Typical Developer / FPGA Experience
Software Defined Accelerator Development - Vitis/SDAccel Development experience leverages an optimized compiler to allow easy new accelerator development or migration of existing C/C++/openCL, Verilog/VHDL to AWS FPGA instances C/C++/OpenCL, Verilog/VHDL (RTL) Vitis/SDx/Vivado (GUI or script) SW/HW Emulation, Simulation, GDB, Virtual JTAG (Chipscope) SW or HW Developer with zero FPGA experience
Hardware Accelerator Development - HDK Fully custom hardware development experience provides hardware developers with the tools required for developing AFIs for AWS FPGA instances Verilog/VHDL Vivado Simulation, Virtual JTAG HW Developer with advanced FPGA experience
IP Integrator or High Level Synthesis (HLx) Graphical interface development experience for integrating IP and high level synthesis development Verilog/VHDL/C Vivado (GUI) Simulation, Virtual JTAG HW Developer with intermediate FPGA experience

Overview of Runtime Environments

Runtime Environment Hardware Interface Host Code Language FPGA Tools
C/C++ Software Defined Accelerator Development - Vitis / SDAccel OpenCL APIs and XRT C/C++ SDK, Vitis / SDAccel
Hardware Accelerator Development XDMA Driver, peek/poke C/C++ SDK, Vivado
IP Integrator or High Level Synthesis (HLx) XDMA Driver, peek/poke C/C++ SDK, Vivado

Overview of Development Tools

Tool Development/Runtime Tool location Description
Vitis 2019.2 Development FPGA Developer AMI Used for Software Defined Accelerator Development using the new Vitis toolset
Vivado 2017.4, 2018.2, 2018.3, 2019.1 & 2019.2 Development FPGA Developer AMI Used for Hardware Accelerator Development
SDx 2017.4, 2018.2, 2018.3 & 2019.1 Development FPGA Developer AMI Used for Software Defined Accelerator Development
FPGA AFI Management Tools Runtime SDK - fpga_mgmt_tools Command-line tools used for FPGA management while running on the F1 instance
Virtual JTAG Development (Debug) FPGA Developer AMI Runtime debug waveform
wait_for_afi Development wait_for_afi.py Helper script that notifies via email on AFI generation completion
notify_via_sns Development notify_via_sns.py Notifies developer when design build process completes
AFI Administration Development Copy, Delete, Describe, Attributes AWS CLI EC2 commands for managing your AFIs

For on-premises development, SDx/Vitis/Vivado must have the correct license and use one of the supported versions of SDx/Vitis/Vivado. The following links have more information on on-premises development: Vivado requirements, Vitis requirements and SDx requirements

Overview of Example Applications

Accelerator Application Example Development Environment Description
Custom hardware cl_hello_world HDK - RTL (Verilog) Simple getting started example with minimal hardware
Custom hardware cl_dram_dma HDK - RTL (Verilog) Demonstrates CL connectivity to the F1 shell and connectivity to/from all DDRs
Custom hardware IP integration example using a GUI cl_dram_dma_hlx HLx - Verilog Demonstrates CL connectivity to the F1 shell and connectivity to/from DRAM using the Vivado IP Integrator GUI
Virtual Ethernet Application Example Application HDK SDE Example The Virtual Ethernet framework facilitates streaming Ethernet frames from a network interface (or any source) into the FPGA for processing and back out to some destination. Possible use cases for this include deep packet inspection, software defined networking, stream encryption or compression, and more.
Pipelined Workload Applications cl_dram_dma_data_retention HDK SDAccel Demonstrates how to preserve data in DRAMs while swapping out accelerators. Applications that use a temporal accelerator pipeline can take advantage of this feature to reduce latency between FPGA image swaps
Digital Up-Converter using High Level Synthesis cl_hls_dds_hlx HLx - C-to-RTL Demonstrates an example application written in C that is synthesized to RTL (Verilog)
Security AES, RSA, SHA1 SDAccel - C/C++/OpenCL Developed using software defined acceleration, this example demonstrates methods of using hardware acceleration to speed up security software algorithms
Computer Vision Affine, Convolve, Huffman, IDCT SDAccel - C/C++/OpenCL Developed using software defined acceleration, this example demonstrates methods of using hardware acceleration to speed up image detection algorithms
Misc Algorithms Kmeans, SmithWaterman, MatrixMult SDAccel - C/C++/OpenCL Developed using software defined acceleration, this example demonstrates methods of applying hardware acceleration to a variety of sorting and search algorithms
Financial Blacksholes, Heston SDAccel - C/C++/OpenCL Developed using software defined acceleration, this example demonstrates methods of using hardware acceleration on Monte Carlo financial models
Custom Hardware with Software Defined Acceleration RTL Kernels SDAccel - RTL (Verilog) + C/C++/OpenCL Developed using software defined acceleration, this example demonstrates a quick method for developing new or migrating existing hardware designs (RTL)
File Compression GZip SDAccel - C/C++/OpenCL Developed using software defined acceleration, this example demonstrates methods of using hardware acceleration to speed up GZIP compression on an FPGA
WebP Image Compression WebP SDAccel - C/C++/OpenCL Developed using software defined acceleration, this example demonstrates methods of using hardware acceleration to speed up WebP encoder application on an FPGA

Getting Started

Getting familiar with AWS

If you have never used AWS before, we recommend you start with AWS getting started training, and focus on the basics of the AWS EC2 and AWS S3 services. Understanding the fundamentals of these services will make it easier to work with AWS FPGAs.

AWS FPGA generation and EC2 F1 instances are supported in the us-east-1 (N. Virginia), us-west-2 (Oregon), eu-west-1 (Ireland) and us-gov-west-1 (GovCloud US) regions.

Setting up development environment for the first time

The developer kit is supported for Linux operating systems only. You have the choice to develop on AWS EC2 using the FPGA Developer AMI or on-premises. Within a linux environment, you can execute git clone https://github.com/aws/aws-fpga.git to download the latest release to your EC2 Instance or local server. Help on cloning from github is available here. When using a SSH connection, execute git clone git@github.com:aws/aws-fpga.git. To get help with connecting to Github via SSH.

To setup your instance for development, checkout our Developer Resources where we provide Step-By-Step guides to setting up a GUI Desktop or a compute cluster.

Before you start your first AWS FPGA design, we recommend that you go through one of the step-by-step guides. The guides will walk through development steps for hello world examples. Based on the tables above, pick the development environment that best fits your needs and use the guide to get started:

  • For fastest way to get started on FPGA accelerator development, start with the software-defined development environment. The guide starts with the Hello World example.
  • For custom hardware development (HDK) environment, start with the HDK Hello World example.
    • Next use the same guide to develop using the cl_dram_dma.

In-depth training and resources

Once you have completed your hello world examples, we recommend diving deeper into a training workshop or application notes

FPGA Developer AMI

The FPGA Developer AMI is available on the AWS marketplace without a software charge and includes free tools and drivers needed for FPGA development on EC2 instances. FPGA development runs on several EC2 instance types. Given the large size of the FPGA used inside the AWS FPGA instances, the implementation tools require 32GiB Memory (ex: z1d.xlarge, z1d.2xlarge, c5.4xlarge, m5.2xlarge, r5.xlarge, t2.2xlarge). z1d.xlarge/c5.4xlarge and z1d.2xlarge/c5.8xlarge would provide the fastest execution time with 30GiB+ and 60GiB+ of memory respectively. Developers who want to save on cost, could start coding and run simulations on low-cost instances, like t2.2xlarge, and move to the aforementioned larger instances to run the synthesis of their acceleration code.

Currently, AWS marketplace includes multiple versions of the FPGA Developer AMI, supporting Xilinx SDx 2017.4, 2018.2, 2018.3 and 2019.1 toolchain versions. The following compatibility table describes the mapping of currently supported developer kit versions to AMI versions:

Developer Kit Version Tool Version Supported Compatible FPGA Developer AMI Version
1.3.7-1.3.X 2017.4 v1.4.0-v1.4.X (Xilinx Vivado/SDx 2017.4)
1.4.X 2017.4 v1.4.0-v1.4.X (Xilinx Vivado/SDx 2017.4)
1.4.3+ 2018.2 v1.5.0-v1.5.X (Xilinx Vivado/SDx 2018.2)
1.4.8+ 2018.3 v1.6.0-v1.6.X (Xilinx Vivado/SDx 2018.3)
1.4.11+ 2019.1 v1.7.0-v1.7.X (Xilinx Vivado/SDx 2019.1)
1.4.13+ 2019.2 v1.8.0-v1.8.X (Xilinx Vivado/Vitis 2019.2)

Developer kit versions prior to v1.3.7 and Developer AMI prior to v1.4 (2017.1) reached end-of-life. See AWS forum announcement for additional details.

For software-defined development please look at the runtime compatibility table based on the Xilinx toolset in use: SDAccel or Vitis

Hardware Development Kit (HDK)

The HDK directory contains useful information, examples, 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 developer kit is not required if you plan to use a pre-built AFI shared from another developer.

Software-defined Development Environment

The software-defined development environment allows customers to compile their C/C++/OpenCL code into the FPGA as kernels, and use OpenCL APIs to pass data to the FPGA. Software developers with no FPGA experience will find a familiar development experience that supercharges cloud applications.

In addition, this development environment (also called SDAccel) allows the mix of C/C++ and RTL accelerator designs into a C/C++ software based development environment. This method enables faster prototyping using C/C++ while supporting manual optimization of critical blocks within RTL. This approach is similar to optimizing time critical functions using software compiler optimization methods.

This developer kit has 80+ examples to help you get started on FPGA acceleration.

To get started with Xilinx SDAccel, review the Software-defined development environment readme. To get started with Xilinx Vitis, review the Vitis unified development environment readme.

Runtime Tools (SDK)

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 on the FPGA instance. 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 sdk resources are provided:

  • Linux Kernel Drivers - The developer kit includes three drivers:
    • XDMA Driver - DMA interface to/from HDK accelerators.
    • XOCL Driver - DMA interface with software defined accelerators (also called hardware kernels).
  • FPGA Libraries - APIs used by C/C++ host applications.
  • FPGA Management Tools - AFI management APIs for runtime loading/clearing FPGA image, gathering metrics and debug interface on the F1 instance.

Developer Support

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.

  • Click the "Watch" button in GitHub upper right corner to get regular updates.
  • We recommend you will join the AWS forum to engage with the FPGA developer community and get help when needed (both AWS and Xilinx engineers monitor this forum).
  • 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.

Documentation Overview

The documentation is located throughout this developer kit, therefore, to help developers find information quicker the table below consolidates a list of key documents:

Topic Document Name Description
Developer Kit Features RELEASE_NOTES, Errata Release notes and Errata for all developer kit features, excluding the shell
Frequently asked questions FAQ, Errata Q/A are added based on developer feedback and common AWS forum questions
F1 Shell (HDK) AWS_Shell_RELEASE_NOTES, AWS_Shell_ERRATA Release notes and Errata for F1 shell
F1 Shell (HDK) AWS_Shell_Interface_Specification Shell-CL interface specification for HDK developers building AFI
AWS setup Setup_AWS_CLI_and_S3_Bucket Setup instructions for preparing for AFI creation
SDx graphical interface (SDAccel) README_GUI Instructions using the SDx GUI for software defined acceleration development and debug
Software defined acceleration using RTL (SDAccel) Debug_RTL_Kernel Instructions on debugging RTL Kernel
Software defined acceleration Run time (SDAccel) Create_Runtime_AMI Instructions on creating a runtime AMI
Host Application (HDK) Programmer_View Host application to CL interface specification
CL Debug (HDK) Virtual_JTAG_XVC Debugging CL using Virtual JTAG (Chipscope)
CL/Shell Simulation (HDK) RTL_Simulating_CL_Designs Shell-CL simulation specification
Driver (HDK) README Describes the DMA driver (XDMA) used by HDK examples and includes a link to an installation guide
Shell Timeout and AXI Protocol Protection HOWTO_detect_shell_timeout The shell will terminate transactions after a time period or on an illegal transaction. This describes how to detect and gather data to help debug CL issues caused by timeouts.
AFI Power afi_power Helps developers with understanding AFI power and preventing power violations on the F1 instance
AFI Management README CLI documentation for managing AFI on the F1 instance
AFI Administration copy_fpga_image, delete_fpga_image, describe_fpga_images, fpga_image_attributes CLI documentation for administering AFIs
AFI Creation Error Codes create_fpga_image_error_codes CLI documentation for managing AFIs
Developing on-premises HDK: on_premise_licensing_help, SDAccel: On_Premises_Development_Steps Guidance for developer wanting to develop AFIs from on-premises instead of using the FPGA Developer AMI running on AWS EC2
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