fpga-webserver by alessandrocomodi

Connection between Web Application and Cloud FPGA accelerator devices

FPGA-Webserver Overview

The availability of FPGAs in the data center/cloud enables very exciting compute models for accelerated, distributed applications. Prior to this project, developing such an application required a full-stack developer, a software engineer, a domain expert, an IaaS expert, and a hardware designer. This project aims to make cloud FPGAs much more accessible for students, start-ups, and everyone.

This project provides the communication layer that enables web applications or distributed cloud applications to exchange data with custom hardware logic running on FPGAs in the data center using standard web protocols. Developers need only provide the web application and the hardware kernel and need not worry about how the bits get from one to the other. If desired, modifications can be made to the webserver and/or C++ application through which data passes, but in the simplest scenario, this is not necessary.

This project currently focuses on utilizing Amazon's F1 FPGA instances. These are very powerful FPGA instances, and having access to this power using a pay-per-use model is compelling. Unfortunately, they are bleeding edge and require significant expertise to utilize. In our experience, documentation is often wrong as APIs and infrastructure are evolving. Developers must have a deep understanding of hardware design. They must be familiar with Xilinx tools: Viviado for RTL design and SDAccel to interface the hardware with C++ code using OpenCL. They must understand AXI protocols and manage AXI controllers. And the AWS platform can be intimidating to a newcomer. In addition to hiding most of this complexity, this framework provides the webserver and host application code that hide the implementation of passing data from client to and from the FPGA.

Further documentation for the project vision, can be found in this Google Drive Folder.

Here's a short invited talk at VSDOpen 2018 about cloud FPGAs and the impact they will have on open-source hardware and the silicon industry as a whole that is good context and motivation for this project.

This repository contains all that is needed to develop a hardware-accelerated web application, including the generic framework and sample applications that utilize the framework. It contains contents for local development as well as for building FPGA images on the remote F1 machine, so it is to be cloned locally and remotely with different parts edited on each machine in a fork of this repository.


This repository is a work-in-progress and will continue to evolve over the summer of 2019. A working Mandelbrot explorer is included. This demo is hosted at FractalValley.net

Project description

A hardware accelerated web application utilizing this framework consists of:

  • Web Client: a web application, or any other agent communicating with the accelerated server via web protocols.
  • Web Server: a web server written in Python
  • Host Application: the host application written in C/C++/OpenCL which interfaces with the hardware.

The WebSocket or REST communication between the Web Application and the FPGA passes through:

  1. The Web Client application, written in JavaScript running in a web browser, transmits JSON (for now), via WebSocket or GET, to the Web Server. The communication is currently simple commands containing:
    • type: describes the command that has to be performed by the host application and dispatched to the FPGA;
    • data: a data value to be sent to the FPGA.
  2. The Web Server, a Python web server, echoes commands via UNIX socket to the Host Application.
  3. The Host Application, written in C/C++/OpenCL, transmits the commands to the FPGA Shell through OpenCL calls.
  4. The FPGA Shell, written in Verilog and configured by scripts, communicates between memory and the Custom Kernel via AXI and FIFOs.
  5. The Custom Kernel, provided as Verilog, and for Mandelbrot written in TL-Verilog, processes the data stream from the FPGA Shell and produces a data stream returned to the FPGA Shell
  6. The FPGA Shell transmits the data stream to the Host Application. For Mandelbrot, this data is depth values for each pixel.
  7. The Host Application, for Mandelbrot, processes pixel depths into colors, and into a .png data stream, which is returned over the UNIX socket to the Web Server.
  8. The Web Server echoes the data stream to the client via the WebSocket or as a GET response.
  9. The Web Cient displays the image.

Directory Structure

  • framework: The generic infrastructure for hardware-accelerated web applications.
    • client: Client library.
    • webserver: Python web server application.
    • host: OpenCL/C++ host application framework.
    • fpga: FPGA framework, including Verilog/TLV source code.
    • f1: Specific to Amazon F1.
  • apps: Hardware-accelerated web applications utilizing the framework.
    • app
      • client
      • webserver
      • host
      • fpga: FPGA kernel, including Verilog/TLV source code.
        • scripts: Utility scripts needed to create a Vivado RTL project that holds all the configurations (e.g. # AXI master ports, # scalar arguments, # arguments) for the hardware.
      • build
        • Makefile
      • out: The target directory for build results, including the client, webserver, host application, and FPGA images. (This folder is not committed with the repository.)
      • prebuilt: Prebuilt client, webserver, host application, and/or FPGA images. These may be committed for convenience so users can run new installations without lengthy builds.
    • (specific apps)
    • echo: (To be created.) A template application that simply echoes data on a websocket
      • client
      • host
      • fpga
      • build
        • Makefile
    • mandelbrot
      • client
      • webserver
      • host
      • fpga
      • build
        • Makefile

Project Setup Overview

Setup for AWS F1 and building from scratch is a very lengthy process. Optional instructions are provided to get the Mandelbrot application up and running on a local Linux machine without FPGA acceleration. Furthermore, to run with FPGA acceleration, prebuilt images are provided to initially bypass the lengthy builds.

As a preview of the complete process, to get up and running from source code with FPGA acceleration, you will need to:

  • Get an AWS account with access to F1 instances. This is a lengthy process requiring a few days to get approval from Amazon.
  • Launch a "Build Instance" on which to compile the OpenCL, Verilog, and Transaction-Level Verilog source code into an FPGA image.
  • Launch an "F1 Server Instance" on which to run: the web server, the Host Application, and the FPGA programmed with the image you created on the Build Instance.
  • Open the Web Application in a local web browser (or host it on a web server) and connect to the running Web Server.

(Keep in mind, there is a far more substantial world of hurt that this infrastructure is saving you.)

Note that F1 machines are powerful and expensive. Compilations take several hours and require a sizable Build Instance which can cost a few dollars per compilation. F1 machines cost about $1.50/hr, so it is not practical to keep a server up and running for extended periods.

AWS Account Setup with F1 Access

Finally, I found some good instructions from Xilinx. The instructions I came up with are below, but you should be able instead to follow the "Prerequisites" instructions here.

Previous instructions

(These can be deleted once the Xilinx instructions are confirmed to serve the same purpose.)

If you are new to AWS, you might find it to be quite complicated. Here are some specific steps to get you going, though they likely need refinement. Be sure to correct these docs based on your experience.

  1. Create a free tier account and await approval.
  2. Login to your console. Be sure you are logging in as root, not as an IAM user. (Your account has no "IAM" users until you create them (which is not necessary to get going).)
  3. Now, you'll need access to F1 resources (and possibly the Amazon Machine Image (AMI) for the Build Instance). Unless policies change, you must apply for this. You can try skipping ahead to confirm.
    • Under "Support" (upper left) open "Support Center".
    • Create a case.
      • Regarding: "Service Limit Increase".
      • Limit Type: "EC2 Instances"
      • Region: "N. Virginia" (and possibly other options)
      • Primary Instance Type: "f1.2xlarge"
      • Use Case Description: Something like, "Development of hardware-accelerated web applications using this framework (https://github.com/alessandrocomodi/fpga-webserver)"
      • Wait ~2 business days :(

Running Mandelbrot Locally

While you wait for F1 access, you can play around with the Mandelbrot example without hardware acceleration.

On a Ubuntu 16.04 machine:

sudo apt-get update
sudo apt-get install make g++ python python-pip python-pil python-tornado
# On centos: sudo yum install make g++ python python-pip python-pillow python-tornado (unconfirmed)
cd <wherever you would like to work>
git clone https://github.com/alessandrocomodi/fpga-webserver
cd fpga-webserver
git submodule update --init --recursive  # or ./init
cd apps/mandelbrot/build
make launch

The webserver is running. You can open http://localhost:8888/index.html in a local web browser and explore Mandelbrot generated in the Python webserver or in the C++ host application.

You can also open http://localhost:8888/client.html. Click "Open", click "Init FPGA", enter coords, like 0, 0, zoom: 1, depth 100, "GET IMAGE" or "Start" for a flythrough.

More instructions for the Mandelbrot application are here.

Create F1 Instance

Now let's provision an F1 Instance. Again, I came up with the "Previous Instructions" below, but you should be able to use the Create, configure, and test an AWS F1 instance instructions from Xilinx, at least for the "Create" part (section 1), but you might want to use the following modifications:

I found the diskspace to be rather limited, so I added 3GB to the attached Elastic Block Storage (EBS) (which persists after instance destruction).

I was unable to connect using RDP. Update: After doing the following fix to resolve access problems from Windows 7, Linux access also seems to be fixed. Clean this up and inform Xilinx after more testing.

sudo cp /etc/xrdp/xrdp.ini /etc/xrdp/xrdp.ini.bak  # create a backup
sudo sed -i s/security_layer=negotiate/security_layer=rdp/ /etc/xrdp/xrdp.ini  # change "security_layer"
sudo diff /etc/xrdp/xrdp.ini /etc/xrdp/xrdp.ini.bak  # just to see that something changed

I encountered the following issues with this script: (What script? The one CURLed here: https://github.com/Xilinx/SDAccel-Tutorials/blob/master/docs/aws-getting-started/RTL/STEP1.md#2-connecting-to-the-instance-with-a-remote-desktop-client ??? )

  • Error that /usr/src/kernels/3.10.0-957.10.1.el7.x86_64 couldn't be found. (I changed the link to point to /usr/src/kernels/3.10.0-862.11.6.el7.x86_64.)

You will want to open one or more additional ports for the Web Server. Either during creation, or from the "Running Instances" page (via EC2 Dashboard), scroll right and select the security group for your instance. Under "Inbound":

  • "Add Rule"
  • For "Type" select "Custom TCP Rule" (should be the default), and enter "8880-8889" as port range (by default, we will use port 8888, but let's reserve several).
  • Select or enter a "Source", e.g. "Anywhere" or your IP address for better security.
  • Set "Description", e.g. "development-webserver".

Note that you should already have opened a port open for RDP. (I am using VNC, so I also opened custom TCP ports 5901-5910.)

Previous instructions to create instance

(These can be deleted once the Xilinx process is confirmed to cover all of this.)

  1. From the dashboard, click "Launch Instance".
  2. Note the tabs at the top for the steps to select, configure, and launch our instance.
  3. You are currently in "Choose AMI".
    1. Click "AWS Marketplace" on the left.
    2. Enter "FPGA" in the search box.
    3. Select "FPGA Developer AMI".
    4. "Continue".
  4. You are now in "Choose Instance Type". (See tabs and heading at the top).
    1. Select f1.2xlarge (in "North Virginia").
  5. Default configuration is generally good, but we do need to open up a few ports. We'll open 8888 as the default development port for the webserver. And, we'll open a port for remote desktops. Jump ahead by clicking the tab "Configure Security Group".
    1. Provide a name for a new security group (e.g. "fpga-webserver-dev") and a description (e.g. "For development using https://github.com/alessandrocomodi/fpga-webserver").
    2. For webserver:
      1. "Add Rule"
      2. For "Type" select "Custom TCP Rule" (should be the default), and enter "8880-8889" as port range (by default, we will use port 8888, but let's reserve several).
      3. Select or enter a "Source", e.g. "Anywhere" or your IP address for better security.
      4. Set "Description", e.g. "development-webserver".
    3. For RDP (Remote Desktop Protocol):
      1. "Add Rule"
      2. For "Type" select "RDP"
      3. Enter "Source" and "Description" appropriately.
    4. For VNC (Virtual Network Computing):
      1. "Add Rule"
      2. For "Type" select "Custom TCP Rule", and enter "5901-5910" as port range.
      3. Enter "Source" and "Description" appropriately.
  6. Click "Review and Launch", be sure you are comfortable with any warnings, review details, and "Launch".
  7. Create/select a key pair for access to your new instance. (You'll need to read up on SSH keys and ssh-keygen if you are not familiar. These instructions assume a public key file <AWS key pairs.pem>. (Be sure to chmod 400 <AWS key pairs.pem>.)) "Launch".
  8. Click new instance link to find IP address.
  9. You can view your instances from the left panel. Go to your EC2 Dashboard and click "Running Instances" or under "Instances", select "Instances". From here, you can, among other things, start and stop your instances ("Actions", "Instance State"). You can also name your instance, which would be a good thing to do now by clicking the pencil icon. Be sure not to accidentally leave instances running!!! You should configure monitoring of your resources, but the options seem very limited for catching instances you fail to stop. Also be warned that stopping an instance can fail. Be sure your instance transitions to "stopped" state (or Amazon tells me charging stops at "stopping" state).

Remote Work Environment

X11 Forwarding

It is important to be able to run X11 applications on your instance and display them on your machine. You will probably get a DISPLAY not set message when first trying X forwarding with ssh -X and running an X application. I was able to fix this with:

sudo yum install xorg-x11-xauth  # On EC2 instance. Then log out and back in.
ssh -X -i <AWS key pairs.pem> centos@<ip>

Remote Desktop

(Delete this section once the Xilinx RDP setup instructions are validated. Maybe keep TigerVNC & Xfce instructions for linux users as it might run faster?)

It is also important to be able to run a remote desktop. Remote desktop protocols are generally faster than X11. This is less important for the F1 Instance than it is for the Build Instance, where you will be debugging your design, so you might choose to skip these instructions until you provision the Build Instance.

I first tried following an AWS tutorial from Reinvent 2017 that used RDP, but I was unsuccessful. (Note, that participants were provided a custom AMI to start from.)

VNC from Linux Client

After much struggling, I was able to get VNC working with the Xfce desktop environment.

sudo yum install tigervnc-server
vncpasswd  # Provide password for VNC desktop (and, optionally, a different password for view-only access)
sudo yum install -y epel-release  # (should already be installed)
sudo yum groupinstall -y "Xfce"

(I do not think a reboot is necessary.)

Edit ~/.vnc/xstartup to contain:

[ -x /etc/vnc/xstartup ] && exec /etc/vnc/xstartup
[ -r $HOME/.Xresources ] && xrdb $HOME/.Xresources
vncconfig -iconic &
#xterm -geometry 80x24+10+10 -ls -title "$VNCDESKTOP Desktop" &
startxfce4 &

And make it executable:

chmod +x ~/.vnc/xstartup

The VNC Server can be started with:

vncserver  # Optionally -geometry XXXXxYYYY.

The output of this command indicates a log file. You should take a look. I got a number of warnings and a DBus permission error, but they did not appear to be fatal.

And kill with:

vncserver -kill :1

Any number of clients can be connected to this server while it is running. Closing the client connection does not terminate the server.

From my Ubuntu client, I connected using Remmina. In Remmina, select VNC, enter <EC2-IP>:1, and "Connect!". Or define a connection using "New" and fill in "Name", "Protocol": "VNC", "Server": "", "User name", "Password", and click "Connect".

Or, to use the command line, I defined:

alias vnc_ec2="vncviewer $1 passwd=<home>/.vnc/passwd"

and use this as:

vnc_ec2 <IP>:1

(I forget how I created the .vnc/passwd file.)

RDP Desktop

In case it helps to debug issues, or in case you need to connect from Windows, this is what I did following the Reinvent 2017 instructions (without success):

In place of:

source <(curl -s https://s3.amazonaws.com/aws-ec2-f1-reinvent-17/setup_script/setup_reinvent.sh)

I extracted the following commands:

sudo yum install -y kernel-devel # Needed to re-build ENA driver
sudo yum groupinstall -y "Server with GUI"
sudo systemctl set-default graphical.target

sudo yum -y install epel-release
sudo rpm -Uvh http://li.nux.ro/download/nux/dextop/el7/x86_64/nux-dextop-release-0-5.el7.nux.noarch.rpm
sudo yum install -y xrdp tigervnc-server
sudo yum install -y chromium
sudo systemctl start xrdp
sudo systemctl enable xrdp
sudo systemctl disable firewalld  # Probably non-existent
sudo systemctl stop firewalld     #  "

And I attepted to connect using Remmina from my Ubuntu machine without success.

Running on FPGA

Prebuilt files are included in the repository. (TODO: No they are not.). Try to run using those first, so you can see the FPGA in action.

git clone https://github.com/alessandrocomodi/fpga-webserver
cd fpga-webserver
git submodule update --init --recursive  # or ./init
cd apps/mandelbrot/build
make PREBUILT=true TARGET=hw KERNEL=mandelbrot launch

Point a web browser at http://<IP>:8888 and play with the application.

When you are done, ctrl-C, exit, and stop your instance.

Build Instance Setup

You can build on your F1 instance, but building takes a long time, and its cheaper to build on a machine that does not have the FPGA.

Provision a Build Instance as you did the F1 Instance, but use instance type "c4.4xlarge" (as recommended by Amazon, or we have found "c4.2xlarge" to suffice, though it's slower). ssh into this instance. It wouldn't hurt to open port 8888 on this instance as well in case you want to test on this instance without the FPGA.

One-Time Instance Setup

Log into your instance:

ssh -i <AWS key pairs.pem> centos@<ip>`

S3 Storage

Configure your ~/.bashrc. We will share files between instances using Amazon S3 through folders called s3://fpga-webserver/<unique-username>, so choose a username for yourself, such as your Amazon IAM username, and:

echo 'export S3_USER=<unique-username>' >> ~/.bashrc
source ~/.bashrc

Use the same user name for all your instances.


Because disk space is limited, unlike other instructions online, I chose to use the ESB disk for my work:

ln -s /home/centos/src/project_data workdisk
cd ~/workdisk

AWS CLI Configuration

Configure by providing your credentials. These can be found in in the Security Credentials page, which I'm not sure how to navigate to, but here's a direct link.

Use region: us-east-1 and output: json.

aws configure

SSH keys

If you happen to be using private git repositories or need passwordless authentication from your instance for any other reason, you may need to generate ssh access keys for your instance.

ssh-keygen -o -t rsa -b 4096 -C "<machine-identifying comment>"
sudo yum install xclip
xclip -sel clip < ~/.ssh/id_rsa.pub

And paste this SSH key into the settings of your other account (e.g. gitlab).

Clone Necessary Repos

cd ~/workdisk
git clone https://github.com/aws/aws-fpga.git $AWS_FPGA_REPO_DIR
git clone https://github.com/alessandrocomodi/fpga-webserver
cd fpga-webserver
git submodule update --init --recursive  # or ./init

With Each Login

source fpga-webserver/sdaccel_setup

Building from Source

Now, build both the FPGA image and host application, transfer them to the F1 instance, and run as follows.

Check Version

These instructions were last debugged with SDx v2018.2. Check to see what you are in for:

sdx -version

FPGA Build

On your Build Instance, build host and Amazon FPGA Image (AFI) that the host application will load onto the FPGA.

cd ~/workdisk/fpga-webserver/apps/mandelbrot/build
mkdir ../out
make build TARGET=hw KERNEL=mandelbrot -j8 > ../out/out.log &

TODO: What about hw_emu target and running in emulation?

This produces output files in /fpga-webserver/apps/mandelbrot/out/hw/xilinx_aws-vu9p-f1_4ddr-xpr-2pr_4.0/. Additionally, the final step, the AFI creation, produces a .tar file on S3 storage asynchronously in s3://fpga-webserver/<user-id>/mandelbrot/AFIs/*.tar. (You configured <user-id> in your ~/.bashrc). You can see it with:

aws s3 ls s3://fpga-webserver/<user-id>/mandelbrot/AFIs/

It also produces /fpga-webserver/apps/mandelbrot/out/hw/xilinx_aws-vu9p-f1_4ddr-xpr-2pr_4.0/mandelbrot.awsclbin which references the S3 tarball.

Transfer files and Run

All development is done on the Build Instance. The F1 Instance is just used to run. fpga-webserver/apps/mandelbrot/ is transferred from the Build Instance to the F1 Instance in its entirety through S3 storage.


You can transfer your app directory to run on the FPGA using the push Make target (which runs an aws s3 sync command) and by explicitly running an aws s3 sync command to pull. Though the whole directory is copied, the files of importance are:

  • the python webserver (including client content) (everything in fpga-webserver/apps/mandelbrot/webserver)
  • the host application (built via intermediate Make target host)
  • the .awsxclbin (AFI) image (which references s3://fpga-webserver/<user-id>/mandelbrot/AFIs/)
  • launch script in fpga-webserver/apps/mandelbrot/build
cd ~/workdisk/fpga-webserver/apps/mandelbrot/build
make push TARGET=hw KERNEL=mandelbrot &


Now, start and log into your F1 Instance, initialize and configure AWS and pull these files:

mkdir ~/work
cd ~/work
mkdir mandelbrot
cd mandelbrot
aws s3 sync s3://fpga-webserver/<user-id>/mandelbrot/xfer .


cd ~/mandelbrot_work/build
chmod +x launch ../out/*/*/host # execute privs lost in transfer
./launch hw


As you did locally, you can access http://<IP>:8888/index.html. Now you can utilize the FPGA to generate images.

Development Using this Framework

Makerchip and TL-Verilog

The Mandelbrot set accelerator has been developed in the Makerchip IDE using the TL-Verilog language extension. You can copy into Makerchip, or use this link to open the design in makerchip. After the kernel has been designed in Makerchip we retrieved the Verilog files by clicking on "E" -> "Open Results" in the Editor tab. From the new browser tab the files that host the Verilog code are called "top.sv" and "top_gen.sv". The content of these files has to be copied and pasted inside of the file "mandelbrot_example_adder.sv" found in the "fpga/imports" folder.

Development of this Framework

These are WIP notes:


This is how I was able to generate an RTL kernel in SDAccel manually and run hardware emulation. This is scripted as part of the build process, but not with the ability to run in SDAccel. These are notes to help figure that out.

  • cd ~/workdisk/fpga-webserver
  • source sdaccel_setup
  • sdx
  • echo $AWS_PLATFORM (You will need to know this path.)
  • On Welcome screen "Add Custon Platform".
    • Add (+) $AWS_PLATFORM/.. .
  • "New SDxProject":
    • Application.
    • name it, select only platform, accept linux on x86 and OpenCL runtime, and "Empty Application". "Finish".
  • Menu "Xilinx", "Create RTL Kernel".
    • name it; 2 clocks (independent kernel clock); 1 reset?
    • default scalars (or change them)
    • default AXI master (Global Memory) options (or change them)
    • wait for Vivado
  • In Vivado:
    • "Generate RTL Kernel"
    • wait
    • Close
  • Back in SDAccel:
    • in projects.sdx:
      • Add binary container under "Hardware Functions" by clicking the lightning bolt icon. There should be only one function identified as the target for the kernel. Click "OK". You will get "binary_container_1".
      • Select "Emulation-HW"
    • Menu "Run", "Run Configuration"
      • Tab "Main", "Kernel Debug", Check "Use RTL waveform...", and check "Launch live waveform".
      • Tab "Arguments", check "Automatically add binary container(s) to arguments"
      • Click "Run" (or "Apply" and click green circle w/ play arrow).

Related Technologies

  • Fletcher might make a good foundation for this framework.

To Do

  • Figure out how to generate .xo.
    • framework/fpga/scripts/create_rtl_kernel.sh creates parts of mandelbrot/fpga/mandelbrot_hw (imports?) which should be built through Makefile, not included in repo. (Paths have changed, so scripts are broken).
    • mandelbrot/fpga/mandelbrot_hw/imports/package_kernel.tcl produces .xo from mandelbrot_hw. (Not sure if it runs xocc itself or if that should be done in Makefile.)
  • hw_emu instructions.
  • Include initialization steps in host application automatically. (For client.html, no explicit commands to open and Init FPGA.)
  • provide information and pointers about the more general use of the commands.
  • Automate export from Makerchip by providing a script that uses curl to access result files via http://makerchip.com/compile/<compile-id>/results/<filename>.
  • Split mandelbrot Makefile to provide some parts in framework.

Immediate Issues

  • apps/mandelbrot/out/ does not exist for make command above.
  • no pre-built files in apps/mandelbrot/prebuilt
  • still need to initialize FPGA w/ client.html?
  • failing w/ "ERROR: Failed to load xclbin" (sdx_imports/main.c). Solved by stopping & starting F1 Instance (not by rebooting).
BSD 3-Clause License

Copyright (c) 2018, alessandrocomodi
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright notice, this
  list of conditions and the following disclaimer.

* Redistributions in binary form must reproduce the above copyright notice,
  this list of conditions and the following disclaimer in the documentation
  and/or other materials provided with the distribution.

* Neither the name of the copyright holder nor the names of its
  contributors may be used to endorse or promote products derived from
  this software without specific prior written permission.


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  • Last commit 11 months ago



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