Screamingly fast HWRNG on Arduino Due

Well, look at this:

$ stty -F /dev/ttyACM0 speed 115200 raw cs8
$ rngtest -t 6 < /dev/ttyACM0
  … much snippage …
rngtest: bits received from input: 312368864
rngtest: FIPS 140-2 successes: 15602
rngtest: FIPS 140-2 failures: 16
rngtest: FIPS 140-2(2001-10-10) Monobit: 2
rngtest: FIPS 140-2(2001-10-10) Poker: 2
rngtest: FIPS 140-2(2001-10-10) Runs: 8
rngtest: FIPS 140-2(2001-10-10) Long run: 4
rngtest: FIPS 140-2(2001-10-10) Continuous run: 0
rngtest: input channel speed: (min=837.317; avg=1168.033; max=1948.060)Kibits/s
rngtest: FIPS tests speed: (min=16.834; avg=27.779; max=77.221)Mibits/s
rngtest: Program run time: 271917796 microseconds

Over a megabit/second of decent quality random data. This is from an Arduino Due, which has an Atmel SAM3X8E ARM Cortex-M3 microcontroller on board. I hadn’t found much use for this board previously, as it fell between a regular 8-bit Arduino and my (many!) Raspberry Pis.

This changed when I found out about Walter Anderson’s Entropy library, which uses µc timer jitter as a source of entropy. Originally designed as a slow but true source of random integers on the Atmel AVR chips, it’s been extended to use the SAM3X8E‘s built-in hardware RNG. Since the Due has a native USB port, you’re not limited to standard baud rates.

Here’s the code, trivially modified from one of Walter’s examples:

// Generate_Random_Bytes_Due - speedy demo of Arduino Due's HWRNG
// based on Generate_Random_Bytes, for Entropy, an Arduino library.
// Copyright 2012 by Walter Anderson
//  modified - scruss - 2014-08-13
// remember to reconnect to native USB port

#include <Entropy.h>

void setup() {
  while (!SerialUSB) {
    ; // wait for serial port to connect.

void loop() {
  uint16_t r = Entropy.random();

It’s a minor pain to have to reconnect the USB cable to the other port on the Arduino Due after programming, but it’s worth it just to see an 84 MHz µc belting out random bytes 37½% faster than an 800 MHz Raspberry Pi

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