Application notes

Moku Cloud Compile

A getting started guide

Updated March 19, 2024

Moku Cloud Compile is an innovative feature available on Moku:Pro, Moku:Lab, and Moku:Go. The Moku family of test and measurement tools contain FPGA-based instruments and Moku Cloud Compile allows you to deploy custom VHDL code to a Moku. This code can provide custom features and interact with the existing instruments to unlock new and unique instrumentation only possible due Moku Instrument-on-Chip architecture.

This tutorial will guide show you how to create a Moku Cloud Compile account through to coding and deployment of some VHDL examples. By the end of this guide, you will have the fundamental knowledge to compile and deploy custom code to your Moku. This note uses Moku:Pro, though all these examples are also useable on Moku:Lab and Moku:Go.

 

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Prerequisites

Moku:Pro, Moku:Lab, or Moku:Go with

Overview

The Moku Cloud Compile tool enables you to design custom processing and features for implementation on Moku platforms. Compared to CPU and application specific integrated circuits (ASIC) based DSP approaches, FPGA platforms provide near ASIC-level latency and performance while still being software programmable, more like a traditional CPU.

While there are many widely used software languages that can be employed to write software for CPU based designs, FPGA programming is generally limited to VHDL or Verilog. These typically require a large and complex local toolchain installation. The platforms available for deploying VHDL code are usually limited to evaluation boards from FPGA vendors or a variety of limited functionality, open-source hardware boards. Moku Cloud Compile provides an integrated, cloud based VHDL compiler and combines with the reliability of Moku hardware.

Moku:Pro with Moku Cloud Compile addresses the need for a high-performance laboratory instrument with research-grade hardware and custom processing without the overhead of traditional FPGA design software. MCC compiles your custom VHDL in the cloud and delivers a package ready to deploy to any MCC-enabled Moku.

Figure 1: Moku Cloud Compile deployment process

Figure 1: Moku Cloud Compile deployment process

Multi-instrument Mode and Moku Cloud Compile

Multi-instrument Mode (MiM) allows multiple instruments to be deployed and operate simultaneously. At the highest level, MiM presents four slots representing four partitions of the FPGA on Moku:Pro, and two on Moku:Go and Moku:Lab. You can deploy a flexible arrangement of instruments into these slots. Figure 1 shows the MiM interface with an Oscilloscope deployed in Slot 1 and a Spectrum Analyzer deployed in Slot 2, while Slots 3 and 4 remain to be filled. The available instruments include a Phasemeter, Laser Lock Box, Data Logger, Digital Filter Box, PID Controller, Oscilloscope, Spectrum Analyzer, Lock-in Amplifier, Waveform Generator, Frequency Response Analyzer, FIR Filter Builder, Arbitrary Waveform Generator, Logic Analyzer, and Cloud Compile.

It is the Moku Cloud Compile instrument, which occupies Slot 4 in Figure 2, where you can deploy your compiled designs. MiM thus enables your designs to interact with the Moku instruments in addition to the ADC and DAC inputs and outputs.

Figure 2: Building a Multi-instrument Mode system
Figure 2: Building a Multi-instrument Mode system

 

 

Figure 3: MiM built with Moku Cloud Compile slot
Figure 3: MiM built with Moku Cloud Compile slot

Setting up a Moku Cloud Compile account

Before you can compile or deploy code to a Moku, you need an online account. This is a simple process:

  • Setup a MCC user account at:  compile.liquidinstruments.com
  • If you’re a first time user, you will need to select “Sign up”
  • If you’re an existing user, you can login by username or email address, then enter your password
  • The Sign-up page requires only a user-selected username, valid email address, and user-defined password.
  • Once signed up and logged in, you will see the Projects page, which initially will be empty, see Figure 4.

Figure 4: New project menu
Figure 4: New project menu

Before you write your first VHDL example, you should configure a device to target. Select the Devices tab and configure as shown in Figure 5. Choose a convenient name and then select Hardware version, Firmware version and No. of slots as shown. You can determine the firmware version of your Moku via the desktop app (right-click on the Moku icon -> device info) or on the iPad app (touch and hold the Moku icon at the “Select your device” screen).

Figure 5: Configure new Moku device
Figure 5: Configure new Moku device

VHDL example #1: Routing inputs to outputs

Enter the VHDL code

Now that your Moku Cloud Compile (MCC) account is set up and you are familiar with the interface, you will write, compile, and deploy the most basic instrument. Your simple first instrument will simply take the Moku Cloud Compile slot’s input signals and connect them directly to the outputs.

To get started, select ‘New Project’ and enter an appropriate name. This example is “Inputs2Outputs”.

 

architecture Behavioural of CustomWrapper is
begin
     OutputA <= InputA;
     OutputB <= InputB;
end architecture;

Figure 6: Full code for example #1; Input2Outputs.vhdl

The code for this first example is shown in Figure 6. This code must define the architecture of the entity ‘CustomWrapper’. ‘CustomWrapper’ is the template to which the MCC design must conform. It provides the basic I/O port definitions of the custom MCC instrument. See the full definition in the online documentation.

Within the “Inputs2Outputs” project, select the editor, create a new file named “Inputs2Outputs.vhd”, seem in Figure 7.

Figure 7: New file in editor
Figure 7: New file in editor

Enter the text of Figure 6. It should look like Figure 8.

Figure 8: VHDL code in editor
Figure 8: VHDL code in editor

Build the code

Select the ‘Target device’, ‘Save’, and then ‘Build’. The code will then be submitted to the MCC server and you can select the Build tab to observe the process, as seen in Figure 9. This will take several minutes to complete.

Figure 9: Build underway
Figure 9: Build underway

Once the code compilation is complete, the “Synthesize”, “Route”, Report”, and “Bitstream” should all be green. At the very bottom of this screen is the bitstream, or artifact, ‘bitstream.tar.gz’. The file “bitstream.tar.gz” can then be downloaded to your local PC by clicking on the small download icon. Do not unzip or untar this file.

It is likely you will see many compiler or synthesizer warnings; these can mostly be disregarded for our purpose. However, any errors would need attention as they will halt the build process.

Figure 10: Successful build
Figure 10: Successful build

Deploy the code

Now using the Moku app, select MiM and then configure the slots and I/O as shown in Figure 10. This will prepare the Moku:Pro for the Moku Cloud Compile bitstream.

Figure 10: MiM slot configuration for example 1
Figure 10: MiM slot configuration for example 1

To deploy the bitstream, tap the Moku Cloud Compile instrument and select “Upload bitstream” as seen in Figure 10. Browse and select the file “bitstream.tar.gz” previously downloaded to your local PC.

To test your new custom instrument, configure the Slot 1 Waveform Generator with a 10 MHz sine wave on Output A and a 1 MHz ramp wave on Output B as seen in Figure 13. This then passes through our simple instrument. By deploying the Oscilloscope in Slot 3, we can observe the correct “pass through” operation of the MCC instrument deployed between them in Slot 2.

Figure 13: Slot 2 Waveform Generator setup
Figure 13: Slot 2 Waveform Generator setup

Figure 14: Slot 4 Oscilloscope confirmation of custom instrument operation
Figure 14: Slot 4 Oscilloscope confirmation of custom instrument operation

VHDL example #2: Subtracting/adding inputs

Example 1 illustrated in great detail the steps required to compile and deploy a very simple VHDL example.

architecture Behavioural of CustomWrapper is
begin
     OutputA <= InputA + InputB;
     OutputB <= InputB - InputB;
end architecture;

Example 2 shows the VHDL to add and subtract inputs. While this is also a basic example, it has many practical scenarios in the test and measurement world. Summing or subtracting signals in the digital domain without the need for digital to analog conversions and an external analog summing amplifier simplifies many applications.

Users are encouraged to take this example and repeat the compile and deploy steps outlined in example #1. Verification might, like the first example, consist of using MiM with a Waveform Generator in Slot 1, Moku Cloud Compile in Slot 2, and an Oscilloscope in Slot 3. Visual confirmation of correct operation could consist of adding and subtracting sine waves that are alternatively in phase and 180 degrees out of phase.

VHDL example #3: Scaling and offset inputs / DSP slice

Example 3 introduces the use of the control registers. Access the registers on the Moku: App interface for the MCC instrument once deployed by clicking the MCC instrument and selecting Open Instrument. Users can change these 32-bit control registers in the app and use them in the VHDL code. In example 3, the Least Significant Bit (LSB) of Control1 is used as an enable; when set to ‘1’, InputA and InputB are passed to OutputA and OutputB respectively. When Control1 LSB is set to ‘0’, the outputs are set to 0.

use WORK.MercurySupport.ScaleOffset;

library IEEE;
use IEEE.Std_Logic_1164.all;
use IEEE.Numeric_Std.all;

architecture Behavioural of CustomWrapper is
begin
    with Control1(0) select
      OutputA <= InputA when '1', (OTHERS => '0') when others;

    with Control1(1) select
      OutputB <= InputB when '1', (OTHERS => '0') when others;
  
end architecture;
Figure 14: Control registers

Figure 14: Control registers

VHDL example #4: Scaling and offset inputs / DSP slice

This example is slightly more complex than the first three examples.

The code references the VHDL library Moku.Support, a Liquid Instruments library. Further information on its contents is available on the Help section of the MCC website. Specifically, the entity ScaleOffset is named. This entity wraps a specific hardware block that is dedicated to performing a multiply and add function. This entity is instantiated as block named ‘DSP’ and used to provide math function of:

 

library Moku;
use Moku.Support.ScaleOffset;

architecture Behavioural of CustomWrapper is
begin
    -- Z = X * Scale + Offset
    -- Clips Z to min/max (prevents over/underflow)
    -- Includes rounding
    -- One Clock Cycle Delay
    DSP: ScaleOffset
        port map (
            Clk => Clk,
            Reset => Reset,
            X => InputA,
            Scale => signed(Control1(15 downto 0)),
            Offset => signed(Control2(15 downto 0)),
            Z => OutputA,
            Valid => '1',
            OutValid => open
        );
end architecture;

In this example, both scale and offset are 16-bit, signed 2’s complement numbers. Scale is mapped from -1 to +1.  Additionally, the output, Z, is clipped to prevent over or under flowing of the math operation.  There is further information on ScaleOffset, including how to scale beyond -1 to +1 in the online documentation: https://compile.liquidinstruments.com/docs/support.html#scaleoffset

VHDL example #5a: Output limit setting

Example #5a provides a way to clip an output signal to an upper (or lower) limit.

Just as in example #3, this example uses the Moku.Support library, this time using the ‘clip’ function.

The OutputA is now assigned to the clipped, lower 9 bits of InputA. This provides 2^power clipping function, i.e., the signal is clipped to the range 0 – 29.

Example #4 provides a way to clip an output signal to an upper (or lower) limit.

library IEEE;
use IEEE.Numeric_Std.all;
use WORK.MercurySupport.clip;

architecture Behavioural of Customwrapper is
begin
    OutputA <= resize(clip(InputA, 8, 0), 16);
end architecture;

VHDL example #5b: generic out limit setting

Example #5b provides a way to clip an output signal to any upper and lower limit.

Whereas example #5a would provide a crude but fast clipping to a power of 2, this example provides a more generalized clipping function. The OutputA is assigned to InputA but clipped to the range of +2387 and -7462.

library IEEE;
use IEEE.Numeric_Std.all;

library Moku;
use Moku.Support.clip_val;
 
architecture Behavioural of CustomWrapper is 
  begin 
    OutputA <= clip_val(InputA, -7462, 2387);
end architecture;

VHDL example #5: PWM from analog input

Example 6 is more complicated. It generates a pulse width modulation (PWM) signal from the analog InputA. It comprises two files, Counter.vhdl and pwm.vhdl.  Users enter these as separate files in the MCC file editor before building together. This example is specific to Moku:Pro and its 312.5 MHz clock, but can be adapted for Moku:Lab and Moku:Go with 125 MHz and 31.25 MHz clocks, respectively. For more information on the differences between Moku Cloud Compile on Moku:Go, Moku:Lab, and Moku:Pro, read the datasheet here.


-- counter.vhdl

library IEEE;
use IEEE.Std_logic_1164.all;
use IEEE.Numeric_Std.all;

--Output Strobe every 2^EXPONENT / INCREMENT Input Strobes
--Will quantize to round integers but maintains overflow, so
--will average out over time, but will have a +-1 cycle jitter.
entity Counter is
	generic (
		EXPONENT : positive := 8;
		PHASE90 : boolean := false
	);
	port (
		Clk : in std_logic;
		Reset : in std_logic;
		Enable : in std_logic;
		Increment : in unsigned;
		Strobe : out std_logic
	);
end entity;

architecture Behavioural of Counter is
	signal Count : unsigned(EXPONENT downto 0);
begin

	assert Increment'length <= Count'length severity FAILURE;

	process(Clk) is
	begin
		if rising_edge(Clk) then
			if Reset = '1' then
				Count <= (others => '0');
				if PHASE90 then
					Count(EXPONENT - 1) <= '1';
				end if;
			elsif Enable = '1' then
				--Trim the MSB but allow overflow into it.
				--This gives a single Clk cycle output pulse on Strobe.
				Count <= resize(Count(Count'left-1 downto 0), Count'length) + Increment;
			else
				Count(Count'left) <= '0';
			end if;
		end if;
	end process;

	Strobe <= Count(Count'left);

end architecture;

 


-- pwm.vhdl
library IEEE;
use IEEE.Std_Logic_1164.all;
use IEEE.Numeric_Std.all;

library Moku;
use Moku.Support.ScaleOffset;
use Moku.Support.clip;

architecture Behavioural of CustomWrapper is
    constant HI_LVL : signed(15 downto 0) := x"7FFF";
    constant LO_LVL : signed(15 downto 0) := x"0000";
    signal Value: signed(12 downto 0);
    signal Count : unsigned(12 downto 0);
    signal Pulse50kHz : std_logic;
    signal Pulse : std_logic;
    signal OutA : std_logic;

begin
    INPUT_SCALE: ScaleOffset
        port map (
            Clk => Clk,
            Reset => Reset,
            X => InputA & "0",
            Scale => signed(Control1(15 downto 0)), -- For internal bus 2Vpp; setting of 0x0200 maps well
            Offset => signed(Control2(15 downto 0)),  -- For internal bus of 2Vpp, offset of 0x0400 works well for +/-1 v internal bus
            Z => Value,
            Valid => Pulse50kHz,
            OutValid => open
        );

    OSC: entity WORK.Counter
        generic map (22)  -- ~5 kHz from 312.5MHz
        port map (Clk, Reset, '1', to_unsigned(67, 8), Pulse50kHz);

    OSC2: entity WORK.Counter
        generic map (11)  --5kHz/2048 approx 10 MHz
        port map (Clk, Pulse50kHz, '1', to_unsigned(65, 9), Pulse);
      
    process(Clk) is
    begin
        if rising_edge(Clk) then
            if Pulse50kHz = '1' then
                Count <= resize(unsigned(clip(Value, 11, 0)), Count'length);
            elsif Pulse = '1' and Count /= 0 then
                Count <= Count - 1;
            end if;
        end if;
    end process;


    OutputA <= HI_LVL when Count /= 0 else LO_LVL;

                                
end architecture;

Summary

This application note presented some of the advantages and benefits of Moku Cloud Compile when operating as part of Multi-instrument Mode on a Moku:Pro. The entire process was covered, from entering the simplest possible VHDL code in example #1 through building, deploying, and confirming expected operation.

Further example code was presented and briefly explained, inviting you to experiment with the possibilities opened by MCC.

Further MCC designs including more complex math operations, custom trigger modes, and other applications can be developed from these basics.


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