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#493 Fomu - Getting Started

A first look at the Fomu FPGA and some tests running MicroPython on the RISC-V CPU core, and peeking/poking memory over the wishbone bus.

Build

Notes

I recently received a couple of Fomu FPGA boards from crowdsupply. Time to figure out exactly what I bought and how to use it!

The bottom line:

  • Fomu is really easy to get started with! Easiest toolchain installation ever
  • the wishbone bus and bridge that is enabled by default allow direct access to memory from the host PC

Introduction to Fomu

It turned out to be a good time to jump in, with a couple of resources just being released:

clip

Fomu Production (PVT1) Board

The kit contains the Fomu board and a plastic shell that makes it easy to insert into a USB socket.

fomu_kit

fomu_board

A brief overview of the specifications:

  • FPGA: Lattice ICE40UP5K
  • Speed: 48 MHz external oscillator
  • RAM: 128 kB RAM for a soft CPU
  • Storage: 2 MB SPI flash
  • Connectivity: USB 2.0 FS (12 Mbps)
  • Buttons: four capacitive touch pads
  • LEDs: One RGB

The default Fomu firmware exposes a USB bootloader (foboot) running a RISC-V softcore. The bootloader presents itself as a DFU image, in future may show up as a USB drive.

Fomu’s USB support is implemented in the softcore of the FPGA rather than in support components.

  • Downside: uses up alot of storage.
  • Upside:
    • saves on external components for USB support, so smaller form-factor, cheaper to produce
    • allows some neat features (like the wishbone bus?)

Construction

Packed on the little PCB are the components covering 4 main requirements:

  • the FPGA itself
  • user I/O: RGB LED and touch pads
  • power regulators
  • power filtering and ESD protection

Schematic

Toolchain Support

The Fomu Toolchain is a pre-configured set of tools comprising:

  • yosys: Verilog synthesis
  • nextpnr-ice40: FPGA place-and-route
  • icestorm: FPGA bitstream packing
  • riscv toolchain: Compile code for a RISC-V softcore
  • dfu-util: Load a bitstream or code onto Fomu
  • python: Convert Migen/Litex code to Verilog
  • wishbone-tool: Interact with Fomu over USB
  • serial console: Interact with Python over a virtual console

There appears to be a range of other tools that can be used with Fomu, though I not sure the status of each:

The Fomu Workshop

The fomu-workshop repository is a set of resources and examples that have been used for introductory Fomu workshops (conducted by Tim and Sean).

The associated web site (GitHub Pages rendering of the repo) seems like the best place to start. My notes below follow my progress, running on MacOSX 10.13.6.

Installation

I’m building/running within this ‘GettingStarted’ folder.

Getting a local copy of the workshop files:

$ git clone --recurse-submodules https://github.com/im-tomu/fomu-workshop.git

Grabbing the appropriate build of the pre-configured toolchain:

$ wget https://github.com/im-tomu/fomu-toolchain/releases/download/v1.3/fomu-toolchain-macos-v1.3.zip
$ unzip fomu-toolchain-macos-v1.3.zip

Finally setting the path to the toolchain bin folder and running yosys to verify things are on track:

$ export PATH=$(pwd)/fomu-toolchain-macos-v1.3/bin:$PATH
$ yosys

 /----------------------------------------------------------------------------\
 |                                                                            |
 |  yosys -- Yosys Open SYnthesis Suite                                       |
 |                                                                            |
 |  Copyright (C) 2012 - 2018  Clifford Wolf <clifford@clifford.at>           |
 |                                                                            |
 |  Permission to use, copy, modify, and/or distribute this software for any  |
 |  purpose with or without fee is hereby granted, provided that the above    |
 |  copyright notice and this permission notice appear in all copies.         |
 |                                                                            |
 |  THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES  |
 |  WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF          |
 |  MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR   |
 |  ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES    |
 |  WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN     |
 |  ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF   |
 |  OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.            |
 |                                                                            |
 \----------------------------------------------------------------------------/

 Yosys 78b30bbb1102047585d1a2eac89b1c7f5ca7344e (Fomu build) (git sha1 41d9173, clang 9.1.0 -fPIC -Os)

yosys>

All good!

The DFU

dfu-util is a host side implementation of the DFU 1.0 and DFU 1.1 specifications of the USB forum. DFU is intended to download and upload firmware to/from devices connected over USB.

Fomu is compatible with dfu-util and it makes for an amazingly simple process of reconfiguring the Fomu.

With a Fomu in a USB socket, dfu-util can interrogate the device and report it’s status (“Fomu DFU Bootloader v1.8.7”)

$ dfu-util -l
dfu-util 0.9

Copyright 2005-2009 Weston Schmidt, Harald Welte and OpenMoko Inc.
Copyright 2010-2019 Tormod Volden and Stefan Schmidt
This program is Free Software and has ABSOLUTELY NO WARRANTY
Please report bugs to http://sourceforge.net/p/dfu-util/tickets/

Deducing device DFU version from functional descriptor length
Found Runtime: [05ac:8289] ver=0150, devnum=6, cfg=1, intf=3, path="20-8.3", alt=0, name="UNKNOWN", serial="UNKNOWN"
Found DFU: [1209:5bf0] ver=0101, devnum=10, cfg=1, intf=0, path="20-5", alt=0, name="Fomu DFU Bootloader v1.8.7", serial="UNKNOWN"

Running MicroPython

The workshop files include micropython-fomu.dfu - pre-built RISC-V binary with a Fomu port of MicroPython. Loaded with dfu-util:

$ dfu-util -D fomu-workshop/micropython-fomu.dfu
dfu-util 0.9

Copyright 2005-2009 Weston Schmidt, Harald Welte and OpenMoko Inc.
Copyright 2010-2019 Tormod Volden and Stefan Schmidt
This program is Free Software and has ABSOLUTELY NO WARRANTY
Please report bugs to http://sourceforge.net/p/dfu-util/tickets/

Match vendor ID from file: 1209
Match product ID from file: 5bf0
Deducing device DFU version from functional descriptor length
Opening DFU capable USB device...
ID 1209:5bf0
Run-time device DFU version 0101
Claiming USB DFU Interface...
Setting Alternate Setting #0 ...
Determining device status: state = dfuIDLE, status = 0
dfuIDLE, continuing
DFU mode device DFU version 0101
Device returned transfer size 1024
Copying data from PC to DFU device
Download  [=========================] 100%       133044 bytes
Download done.
state(7) = dfuMANIFEST, status(0) = No error condition is present
state(8) = dfuMANIFEST-WAIT-RESET, status(0) = No error condition is present
Done!

Console device will then be available to connect to the Python REPL e.g. using screen:

$ screen /dev/cu.usb*
MicroPython v1.4.1-6392-g573979203-dirty on 2019-08-23; fomu with vexriscv
>>> hex(1024 + 48 + 2)
'0x432'

Fomu Python Extensions

The Fomu port of MicroPython appears to be quite limited at the moment (at least the build included in the workshop files). Most MicroPython libraries are not available, but there is a fomu module that provides access to specific features of the Fomu board including SPI and the RGB LED.

>>> import fomu
>>> spi = fomu.spi()
>>> hex(spi.id())
'0xc2152815'
>>> rgb = fomu.rgb()
>>> rgb.mode("error")

There is no sleep function, so a little do-nothing loop can be used to animate through the defined RGB modes:

>>> import fomu
>>> rgb = fomu.rgb()
>>> for status in ['idle', 'writing', 'error', 'done']:
...   rgb.mode(status)
...   for x in range(1000):
...     pass
...

Interesting: gives an idea of how fast (read: slow) python on RISC-V on an ICE40 FPGA is! I first tried looping around 10000 times and that took about 30 seconds!

Interrogating the machine details from memory-mapped registers:

>>> import machine
>>> chr(machine.mem32[0xe0007028])
'P'
>>> machine.mem32[0xe0007000]
1
>>> machine.mem32[0xe0007004]
8
>>> machine.mem32[0xe0007008]
7

i.e. this is a production 1.8.7 board

Wishbone

The CPU in Fomu is built on LiteX, which places every device on a Wishbone bus. This is a 32-bit internal bus that maps peripherals into memory

Fomu also enabled a bridge on the bus by default that makes the it available over USB.

The wishbone-tool can then interact with the Fomu by basically peeking and poking memory. See fomu/include/generated/csr.h for memory addresses.

e.g. reboot the Fomu:

$ wishbone-tool 0xe0006000 0xac
INFO [wishbone_tool::usb_bridge] opened USB device device 011 on bus 020
ERROR [wishbone_tool] server error: BridgeError(USBError(Io))
INFO [wishbone_tool::usb_bridge] waiting for target device

Read and write memory:

$ wishbone-tool 0x10000000
INFO [wishbone_tool::usb_bridge] opened USB device device 019 on bus 020
Value at 10000000: 00000005
$ wishbone-tool 0x10000000 0x12345678
INFO [wishbone_tool::usb_bridge] opened USB device device 019 on bus 020
$ wishbone-tool 0x10000000
INFO [wishbone_tool::usb_bridge] opened USB device device 019 on bus 020
Value at 10000000: 12345678

Control the RGB LED (flash red)

$ wishbone-tool 0xe0006804 1
$ wishbone-tool 0xe0006800 200

Next Steps

So far so good! Next steps:

  • Blink an LED with C for the RISC-V CPU
  • Blink an LED with verilog
  • Blink an LED with Migen and LiteX

Credits and References

About LEAP#493 FPGA

This page is a web-friendly rendering of my project notes shared in the LEAP GitHub repository.

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About LEAP

LEAP is my personal collection of electronics projects - usually involving an Arduino or other microprocessor in one way or another. Some are full-blown projects, while many are trivial breadboard experiments, intended to learn and explore something interesting.

Projects are often inspired by things found wild on the net, or ideas from the many great electronics podcasts and YouTube channels. Feel free to borrow liberally, and if you spot any issues do let me know or send a pull-request.

NOTE: For a while I included various scale modelling projects here too, but I've now split them off into a new repository: check out LittleModelArt if you are looking for these projects.

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