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authorBoyang Han2021-05-06 16:27:11 +0000
committerJiuyang Liu2021-06-16 10:32:04 +0800
commitf48b4abd9b2e10a5243cadf3803f7f42d4ce25fc (patch)
tree5a1246ad73d7cf26228c5984b483a34beb43b700 /src/main/scala/chisel3/util/experimental/decode
parent48548463c6c5c6bc9076c80924cb4683fc737f11 (diff)
implement QMC.
Diffstat (limited to 'src/main/scala/chisel3/util/experimental/decode')
-rw-r--r--src/main/scala/chisel3/util/experimental/decode/QMCMinimizer.scala282
1 files changed, 282 insertions, 0 deletions
diff --git a/src/main/scala/chisel3/util/experimental/decode/QMCMinimizer.scala b/src/main/scala/chisel3/util/experimental/decode/QMCMinimizer.scala
new file mode 100644
index 00000000..bc5ea351
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+++ b/src/main/scala/chisel3/util/experimental/decode/QMCMinimizer.scala
@@ -0,0 +1,282 @@
+// SPDX-License-Identifier: Apache-2.0
+
+package chisel3.util.experimental.decode
+
+import chisel3.util.BitPat
+
+import scala.annotation.tailrec
+import scala.math.Ordered.orderingToOrdered
+import scala.language.implicitConversions
+
+object QMCMinimizer extends Minimizer {
+ private implicit def toImplicant(x: BitPat): Implicant = new Implicant(x)
+
+ private class Implicant(val bp: BitPat) {
+ var isPrime: Boolean = true
+
+ def width = bp.getWidth
+
+ override def equals(that: Any): Boolean = that match {
+ case x: Implicant => bp.value == x.bp.value && bp.mask == x.bp.mask
+ case _ => false
+ }
+
+ override def hashCode = bp.value.toInt
+
+ /** Check whether two implicants have the same value on all of the cared bits (intersection).
+ *
+ * {{{
+ * value ^^ x.value // bits that are different
+ * (bits that are different) & x.mask // bits that are different and `this` care
+ * (bits that are different and `this` care) & y.mask // bits that are different and `both` care
+ * (bits that are different and both care) == 0 // no (bits that are different and we both care) exists
+ * no (bits that are different and we both care) exists // all cared bits are the same, two terms intersect
+ * }}}
+ *
+ * @param y Implicant to be checked with
+ * @return Whether two implicants intersect
+ */
+ def intersects(y: Implicant): Boolean = ((bp.value ^ y.bp.value) & bp.mask & y.bp.mask) == 0
+
+ /** Check whether two implicants are similar.
+ * Two implicants are "similar" when they satisfy all the following rules:
+ * 1. have the same mask ('?'s are at the same positions)
+ * 1. values only differ by one bit
+ * 1. the bit at the differed position of this term is '1' (that of the other term is '0')
+ *
+ * @example this = 11?0, x = 10?0 -> similar
+ * @example this = 11??, x = 10?0 -> not similar, violated rule 1
+ * @example this = 11?1, x = 10?0 -> not similar, violated rule 2
+ * @example this = 10?0, x = 11?0 -> not similar, violated rule 3
+ * @param y Implicant to be checked with
+ * @return Whether this term is similar to the other
+ */
+ def similar(y: Implicant): Boolean = {
+ val diff = bp.value - y.bp.value
+ bp.mask == y.bp.mask && bp.value > y.bp.value && (diff & diff - 1) == 0
+ }
+
+ /** Merge two similar implicants
+ * Rule of merging: '0' and '1' merge to '?'
+ *
+ * @param y Term to be merged with
+ * @return A new term representing the merge result
+ */
+ def merge(y: Implicant): Implicant = {
+ require(similar(y), s"merge is only reasonable when $this is similar to $y")
+
+ // if two term can be merged, then they both are not prime implicants.
+ isPrime = false
+ y.isPrime = false
+ val bit = bp.value - y.bp.value
+ new BitPat(bp.value &~ bit, bp.mask &~ bit, width)
+ }
+
+ /** Check all bits in `x` cover the correspond position in `y`.
+ *
+ * Rule to define coverage relationship among `0`, `1` and `?`:
+ * 1. '?' covers '0' and '1', '0' covers '0', '1' covers '1'
+ * 1. '1' doesn't cover '?', '1' doesn't cover '0'
+ * 1. '0' doesn't cover '?', '0' doesn't cover '1'
+ *
+ * For all bits that `x` don't care, `y` can be `0`, `1`, `?`
+ * For all bits that `x` care, `y` must be the same value and not masked.
+ * {{{
+ * (~x.mask & -1) | ((x.mask) & ((x.value xnor y.value) & y.mask)) = -1
+ * -> ~x.mask | ((x.mask) & ((x.value xnor y.value) & y.mask)) = -1
+ * -> ~x.mask | ((x.value xnor y.value) & y.mask) = -1
+ * -> x.mask & ~((x.value xnor y.value) & y.mask) = 0
+ * -> x.mask & (~(x.value xnor y.value) | ~y.mask) = 0
+ * -> x.mask & ((x.value ^ y.value) | ~y.mask) = 0
+ * -> ((x.value ^ y.value) & x.mask | ~y.mask & x.mask) = 0
+ * }}}
+ *
+ * @param y to check is covered by `x` or not.
+ * @return Whether `x` covers `y`
+ */
+ def covers(y: Implicant): Boolean = ((bp.value ^ y.bp.value) & bp.mask | ~y.bp.mask & bp.mask) == 0
+
+ override def toString = (if (!isPrime) "Non" else "") + "Prime" + bp.toString.replace("BitPat", "Implicant")
+ }
+
+ /**
+ * If two terms have different value, then their order is determined by the value, or by the mask.
+ */
+ private implicit def ordering: Ordering[Implicant] = new Ordering[Implicant] {
+ override def compare(x: Implicant, y: Implicant): Int =
+ if (x.bp.value < y.bp.value || x.bp.value == y.bp.value && x.bp.mask > y.bp.mask) -1 else 1
+ }
+
+ /** Calculate essential prime implicants based on previously calculated prime implicants and all implicants.
+ *
+ * @param primes Prime implicants
+ * @param minterms All implicants
+ * @return (a, b, c)
+ * a: essential prime implicants
+ * b: nonessential prime implicants
+ * c: implicants that are not cover by any of the essential prime implicants
+ */
+ private def getEssentialPrimeImplicants(primes: Seq[Implicant], minterms: Seq[Implicant]): (Seq[Implicant], Seq[Implicant], Seq[Implicant]) = {
+ // primeCovers(i): implicants that `prime(i)` covers
+ val primeCovers = primes.map(p => minterms.filter(p.covers))
+ // eliminate prime implicants that can be covered by other prime implicants
+ for (((icover, pi), i) <- (primeCovers zip primes).zipWithIndex) {
+ for (((jcover, pj), _) <- (primeCovers zip primes).zipWithIndex.drop(i + 1)) {
+ // we prefer prime implicants with wider implicants coverage
+ if (icover.size > jcover.size && jcover.forall(pi.covers)) {
+ // calculate essential prime implicants with `pj` eliminated from prime implicants table
+ return getEssentialPrimeImplicants(primes.filter(_ != pj), minterms)
+ }
+ }
+ }
+
+ // implicants that only one prime implicant covers
+ val essentiallyCovered = minterms.filter(t => primes.count(_.covers(t)) == 1)
+ // essential prime implicants, prime implicants that covers only one implicant
+ val essential = primes.filter(p => essentiallyCovered.exists(p.covers))
+ // {nonessential} = {prime implicants} - {essential prime implicants}
+ val nonessential = primes.filterNot(essential contains _)
+ // implicants that no essential prime implicants covers
+ val uncovered = minterms.filterNot(t => essential.exists(_.covers(t)))
+ if (essential.isEmpty || uncovered.isEmpty)
+ (essential, nonessential, uncovered)
+ else {
+ // now there are implicants (`uncovered`) that are covered by multiple nonessential prime implicants (`nonessential`)
+ // need to reduce prime implicants
+ val (a, b, c) = getEssentialPrimeImplicants(nonessential, uncovered)
+ (essential ++ a, b, c)
+ }
+ }
+
+ /** Use [[https://en.wikipedia.org/wiki/Petrick%27s_method]] to select a [[Seq]] of nonessential prime implicants
+ * that covers all implicants that are not covered by essential prime implicants.
+ *
+ * @param implicants Nonessential prime implicants
+ * @param minterms Implicants that are not covered by essential prime implicants
+ * @return Selected nonessential prime implicants
+ */
+ private def getCover(implicants: Seq[Implicant], minterms: Seq[Implicant]): Seq[Implicant] = {
+ /** Calculate the implementation cost (using comparators) of a list of implicants, more don't cares is cheaper
+ *
+ * @param cover Implicant list
+ * @return How many comparators need to implement this list of implicants
+ */
+ def getCost(cover: Seq[Implicant]): Int = cover.map(_.bp.mask.bitCount).sum
+
+ /** Determine if one combination of prime implicants is cheaper when implementing as comparators.
+ * Shorter term list is cheaper, term list with more don't cares is cheaper (less comparators)
+ *
+ * @param a Operand a
+ * @param b Operand b
+ * @return `a` < `b`
+ */
+ def cheaper(a: Seq[Implicant], b: Seq[Implicant]): Boolean = {
+ val ca = getCost(a)
+ val cb = getCost(b)
+
+ /** If `a` < `b`
+ *
+ * Like comparing the dictionary order of two strings.
+ * Define `a` < `b` if both `a` and `b` are empty.
+ *
+ * @param a Operand a
+ * @param b Operand b
+ * @return `a` < `b`
+ */
+ @tailrec
+ def listLess(a: Seq[Implicant], b: Seq[Implicant]): Boolean = b.nonEmpty && (a.isEmpty || a.head < b.head || a.head == b.head && listLess(a.tail, b.tail))
+
+ ca < cb || ca == cb && listLess(a.sortWith(_ < _), b.sortWith(_ < _))
+ }
+
+ // if there are no implicant that is not covered by essential prime implicants, which means all implicants are
+ // covered by essential prime implicants, there is no need to apply Petrick's method
+ if (minterms.nonEmpty) {
+ // cover(i): nonessential prime implicants that covers `minterms(i)`
+ val cover = minterms.map(m => implicants.filter(_.covers(m)))
+ val all = cover.tail.foldLeft(cover.head.map(Set(_)))((c0, c1) => c0.flatMap(a => c1.map(a + _)))
+ all.map(_.toList).reduceLeft((a, b) => if (cheaper(a, b)) a else b)
+ } else
+ Seq[Implicant]()
+ }
+
+ def minimize(table: TruthTable): TruthTable = {
+ require(table.table.nonEmpty, "Truth table must not be empty")
+
+ // extract decode table to inputs and outputs
+ val (inputs, outputs) = table.table.unzip
+
+ require(outputs.map(_.getWidth == table.default.getWidth).reduce(_ && _), "All output BitPats and default BitPat must have the same length")
+ require(if (inputs.toSeq.length > 1) inputs.tail.map(_.width == inputs.head.width).reduce(_ && _) else true, "All input BitPats must have the same length")
+
+ // make sure no two inputs specified in the truth table intersect
+ for (t <- inputs.tails; if t.nonEmpty)
+ for (u <- t.tail)
+ require(!t.head.intersects(u), "truth table entries " + t.head + " and " + u + " overlap")
+
+ // number of inputs
+ val n = inputs.head.width
+ // number of outputs
+ val m = outputs.head.getWidth
+
+ // for all outputs
+ table.copy(table = (0 until m).flatMap(i => {
+ val outputBp = BitPat("b" + "?" * (m - i - 1) + "1" + "?" * i)
+
+ // Minterms, implicants that makes the output to be 1
+ val mint: Seq[Implicant] = table.table.filter { case (_, t) => t.mask.testBit(i) && t.value.testBit(i) }.map(_._1).map(toImplicant).toSeq
+ // Maxterms, implicants that makes the output to be 0
+ val maxt: Seq[Implicant] = table.table.filter { case (_, t) => t.mask.testBit(i) && !t.value.testBit(i) }.map(_._1).map(toImplicant).toSeq
+ // Don't cares, implicants that can produce either 0 or 1 as output
+ val dc: Seq[Implicant] = table.table.filter { case (_, t) => !t.mask.testBit(i) }.map(_._1).map(toImplicant).toSeq
+
+ val (implicants, defaultToDc) = table.default match {
+ case x if x.mask.testBit(i) && !x.value.testBit(i) => // default to 0
+ (mint ++ dc, false)
+ case x if x.mask.testBit(i) && x.value.testBit(i) => // default to 1
+ (maxt ++ dc, false)
+ case x if !x.mask.testBit(i) => // default to ?
+ (mint, true)
+ }
+
+ implicants.foreach(_.isPrime = true)
+ val cols = (0 to n).reverse.map(b => implicants.filter(b == _.bp.mask.bitCount))
+ val mergeTable = cols.map(
+ c => (0 to n).map(
+ b => collection.mutable.Set(c.filter(b == _.bp.value.bitCount):_*)
+ )
+ )
+
+ for (i <- 0 to n) {
+ for (j <- 0 until n - i) {
+ mergeTable(i)(j).foreach(a => mergeTable(i + 1)(j) ++= mergeTable(i)(j + 1).filter(_ similar a).map(_ merge a))
+ }
+ if (defaultToDc) {
+ for (j <- 0 until n - i) {
+ for (a <- mergeTable(i)(j).filter(_.isPrime)) {
+ if (a.bp.mask.testBit(i) && !a.bp.value.testBit(i)) {
+ // this bit is `0`
+ val t = new BitPat(a.bp.value.setBit(i), a.bp.mask, a.width)
+ if (!maxt.exists(_.intersects(t))) mergeTable(i + 1)(j) += t merge a
+ }
+ }
+ for (a <- mergeTable(i)(j + 1).filter(_.isPrime)) {
+ if (a.bp.mask.testBit(i) && a.bp.value.testBit(i)) {
+ // this bit is `1`
+ val t = new BitPat(a.bp.value.clearBit(i), a.bp.mask, a.width)
+ if (!maxt.exists(_.intersects(t))) mergeTable(i + 1)(j) += a merge t
+ }
+ }
+ }
+ }
+ }
+
+ val primeImplicants = mergeTable.flatten.flatten.filter(_.isPrime).sortWith(_ < _)
+
+ val (essentialPrimeImplicants, nonessentialPrimeImplicants, uncoveredImplicants) =
+ getEssentialPrimeImplicants(primeImplicants, implicants)
+
+ (essentialPrimeImplicants ++ getCover(nonessentialPrimeImplicants, uncoveredImplicants)).map(a => (a.bp, outputBp))
+ }).toMap)
+ }
+} \ No newline at end of file