双时钟域FIFO
此示例创建了一个专为跨时钟域而设计的 StreamFifoCC
以及 3 个仿真线程。
线程处理:
两个时钟域的管理
推入 FIFO
从 FIFO 弹出
FIFO 推送线程将输入随机化。
FIFO 弹出线程根据参考模型(普通的 scala.collection.mutable.Queue 实例)检查 DUT 的输出。
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()
}
}
}
}