242 True(er) Random Number Generator (TRNG)

242 : True(er) Random Number Generator (TRNG)

Design render

True(er) Random Number Generator (TRNG)

How it works

This project implements a fully digital True Random Number Generator (TRNG) designed to fit within a single Tiny Tapeout tile. Since analog components are not available in a standard cell digital flow, this design harvests entropy from the phase noise (jitter) of free-running, unconstrained ring oscillators.

The raw, asynchronous bitstream is sampled by the synchronous system clock, whitened to remove systemic 0 or 1 biases, and shifted into a complete 8-bit word.

Architecture
IO: Top Level Interface

The module communicates using a standard valid/ready handshake protocol to ensure the receiving system only reads fully assembled, valid random bytes.

   
    input  logic [7:0] ui_in,    // ui_in[0] is used for ready_i signal, rest is UNUSED
    output logic [7:0] uo_out,   // 8-bit Random Byte payload
    input  logic [7:0] uio_in,   // UNUSED
    output logic [7:0] uio_out,  // uio_out[0] is used for valid_o signal, rest is UNUSED
    output logic [7:0] uio_oe,   // uio_oe[0] is 1'b1, rest is UNUSED
    input  logic       ena,      // always 1 when the design is powered, so you can ignore it
    input  logic       clk,      // clock
    input  logic       rst_n     // reset_n - low to reset

Ring Oscillator (Entropy Source)

To guarantee entropy, the source consists of multiple mutually prime length ring oscillators (e.g., lengths of 3, 5, and 7).

Each ring oscillator is built with 2*DEPTH + 1 standard IHP 130nm (sg13g2_inv_1) inverter cells. These standard cells are manually instantiated with (* keep = "true" *) attributes to prevent the synthesis tool (Yosys) from optimizing away the combinatorial loops.

The asynchronous outputs from these rings are XOR'd together into a single raw bitstream which is captured by D-Flip-Flops clocked by clk_i.

Von Neumann Whitener

Raw ring oscillators often exhibit a slight bias (e.g., naturally preferring 1s over 0s due to microscopic process variations). The Von Neumann extractor eliminates this bias by reading the raw bits in non-overlapping pairs.

Extraction Logic: The whitener generates a bit according to the following truth table. Discarded bits yield no output (valid_o remains LOW).

Bit 1 (Cycle N) Bit 2 (Cycle N+1) bit_o valid_o Action
0 0 0 0 Discard (No entropy)
0 1 1 1 Keep 1
1 0 0 1 Keep 0
1 1 0 0 Discard (No entropy)
Watchdog Timer (Failsafe)

Because the Von Neumann extractor drops 00 and 11 pairs, there is a statistical possibility (especially if the oscillators lock up) that the process suffers from "entropy starvation" and fails to converge on a full 8-bit byte in a reasonable timeframe.

To prevent the system from hanging indefinitely:

  • A Watchdog Timer increments on every clk_i cycle.
  • It resets to 0 every time the whitener successfully outputs a valid bit.
  • Timeout: If the counter reaches 1024 clock cycles without seeing a valid bit, it triggers a timeout.
  • Reset Mechanism: Upon timeout, the watchdog pulls an internal soft-reset line. This flushes the whitener's state machine and clears the current shift register progress, restarting the byte generation process from scratch to recover from the stall.

How to test

Testing the physical silicon requires observing the handshake protocol.

  1. Assert rst_ni LOW, then HIGH to reset the module.
  2. Assert ena_i HIGH to enable the oscillators and sampling logic.
  3. Assert ready_i HIGH from your receiving device to indicate you are ready to receive data.
  4. Wait for valid_o to go HIGH.
  5. On the clock cycle where valid_o is HIGH, read the 8-bit value on byte_o. This is your true random byte.
  6. To verify randomness, capture several megabytes of output data and process it using a statistical test suite like NIST SP 800-22 or Dieharder.
Design Verification (DV) Plan

Pre-silicon verification is handled via a Python-based Cocotb testbench. Because digital simulators cannot natively process analog phase noise, the RTL leverages a \ifdef SIM`block to model the oscillators using fractional#` delays.

The DV suite verifies the digital plumbing using two main tests:

  1. Continuous Generation Check: The testbench drives the ready_i signal HIGH and loops 100 times, waiting for the valid_o edge to capture sequential random bytes and confirming the handshake can operate continuously.
  2. Statistical Sanity Checks (Variance): Validates the behavioral entropy by checking for output uniqueness. Out of the 100 sampled bytes, the test ensures that more than 5 unique values are generated, proving the simulated oscillators are drifting and the FSM is not stuck emitting a constant value.
Gate-Level Simulation (GLS) Limitations

Note: Simulating this design at the gate level (GLS) presents a fundamental EDA challenge. Synthesis tools generate a physical netlist for the combinatorial inverter loops without an initial value. Digital simulators evaluate this unknown initial state as X.

Because a pure combinatorial loop has no reset pin, the X state remains permanently locked, propagating through the synchronizer flip-flops and crashing the Von Neumann logic. Consequently, our Cocotb testbench actively monitors the output bus for unresolvable X states. If an X state is detected (indicating a GLS environment where the oscillator failed to initialize), the testbench logs the limitation and gracefully skips the remainder of the simulation to prevent CI pipeline failures.

External hardware

  • Tiny Tapeout Demo Board: To provide the system clock, power, and physical pin breakouts.
  • RP2040 Microcontroller (built into the demo board): Required to interface with the valid/ready handshake protocol and quickly stream the generated random bytes over USB to a host PC for statistical validation.

IO

#InputOutputBidirectional
0ready_ibit0_ovalid_o
1bit1_o
2bit2_o
3bit3_o
4bit4_o
5bit5_o
6bit6_o
7bit7_o

Chip location

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