Dual clock fifo

This example creates a StreamFifoCC, which is designed for crossing clock domains, along with 3 simulation threads.

The threads handle:

Management of the two clocks

Pushing to the FIFO

Popping from the FIFO

The FIFO push thread randomizes the inputs.

The FIFO pop thread handles checking the the DUT’s outputs against the reference model (an ordinary scala.collection.mutable.Queue instance).

import spinal.sim._
import spinal.core._
import spinal.core.sim._

import scala.collection.mutable.Queue


object SimStreamFifoCCExample {
  def main(args: Array[String]): Unit = {
    // Compile the Component for the simulator.
    val compiled = SimConfig.withWave.allOptimisation.compile(
      rtl = new StreamFifoCC(
        dataType = Bits(32 bits),
        depth = 32,
        pushClock = ClockDomain.external("clkA"),
        popClock = ClockDomain.external("clkB",withReset = false)
      )
    )

    // Run the simulation.
    compiled.doSimUntilVoid{dut =>
      val queueModel = mutable.Queue[Long]()

      // Fork a thread to manage the clock domains signals
      val clocksThread = fork {
        // Clear the clock domains' signals, to be sure the simulation captures their first edges.
        dut.pushClock.fallingEdge()
        dut.popClock.fallingEdge()
        dut.pushClock.deassertReset()
        sleep(0)

        // Do the resets.
        dut.pushClock.assertReset()
        sleep(10)
        dut.pushClock.deassertReset()
        sleep(1)

        // Forever, randomly toggle one of the clocks.
        // This will create asynchronous clocks without fixed frequencies.
        while(true) {
          if(Random.nextBoolean()) {
            dut.pushClock.clockToggle()
          } else {
            dut.popClock.clockToggle()
          }
          sleep(1)
        }
      }

      // Push data randomly, and fill the queueModel with pushed transactions.
      val pushThread = fork {
        while(true) {
          dut.io.push.valid.randomize()
          dut.io.push.payload.randomize()
          dut.pushClock.waitSampling()
          if(dut.io.push.valid.toBoolean && dut.io.push.ready.toBoolean) {
            queueModel.enqueue(dut.io.push.payload.toLong)
          }
        }
      }

      // Pop data randomly, and check that it match with the queueModel.
      val popThread = fork {
        for(i <- 0 until 100000) {
          dut.io.pop.ready.randomize()
          dut.popClock.waitSampling()
          if(dut.io.pop.valid.toBoolean && dut.io.pop.ready.toBoolean) {
            assert(dut.io.pop.payload.toLong == queueModel.dequeue())
          }
        }
        simSuccess()
      }
    }
  }
}