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[dev.ssa] cmd/compile: reducing alloc footprint of dominator calc
Converted working slices of pointer into slices of pointer index. Half the size (on 64-bit machine) and no pointers to trace if GC occurs while they're live. TODO - could expose slice mapping ID->*Block; some dom clients also construct these. Minor optimization in regalloc that cuts allocation count. Minor optimization in compile.go that cuts calls to Sprintf. Change-Id: I28f0bfed422b7344af333dc52ea272441e28e463 Reviewed-on: https://go-review.googlesource.com/19104 Run-TryBot: Todd Neal <todd@tneal.org> TryBot-Result: Gobot Gobot <gobot@golang.org> Reviewed-by: Todd Neal <todd@tneal.org>
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@ -57,6 +57,8 @@ func Compile(f *Func) {
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tStart := time.Now()
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p.fn(f)
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if f.Log() || f.Config.HTML != nil {
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tEnd := time.Now()
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time := tEnd.Sub(tStart).Nanoseconds()
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@ -71,11 +73,8 @@ func Compile(f *Func) {
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stats = fmt.Sprintf("[%d ns]", time)
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}
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if f.Log() {
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f.Logf(" pass %s end %s\n", p.name, stats)
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}
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printFunc(f)
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if f.Config.HTML != nil {
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f.Config.HTML.WriteFunc(fmt.Sprintf("after %s <span class=\"stats\">%s</span>", phaseName, stats), f)
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}
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checkFunc(f)
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@ -59,21 +59,30 @@ type linkedBlocks func(*Block) []*Block
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// from block id to an int indicating the order the block was reached or
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// notFound if the block was not reached. order contains a mapping from dfnum
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// to block.
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func dfs(entries []*Block, succFn linkedBlocks) (dfnum []int, order []*Block, parent []*Block) {
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func dfs(entries []*Block, succFn linkedBlocks) (fromID []*Block, dfnum []int32, order []ID, parent []ID) {
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maxBlockID := entries[0].Func.NumBlocks()
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dfnum = make([]int, maxBlockID)
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order = make([]*Block, maxBlockID)
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parent = make([]*Block, maxBlockID)
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dfnum = make([]int32, maxBlockID)
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order = make([]ID, maxBlockID)
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parent = make([]ID, maxBlockID)
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fromID = make([]*Block, maxBlockID)
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n := 0
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for _, entry := range entries[0].Func.Blocks {
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eid := entry.ID
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if fromID[eid] != nil {
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panic("Colliding entry IDs")
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}
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fromID[eid] = entry
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}
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n := int32(0)
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s := make([]*Block, 0, 256)
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for _, entry := range entries {
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if dfnum[entry.ID] != notFound {
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continue // already found from a previous entry
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}
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s = append(s, entry)
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parent[entry.ID] = entry
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parent[entry.ID] = entry.ID
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for len(s) > 0 {
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node := s[len(s)-1]
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s = s[:len(s)-1]
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@ -83,12 +92,12 @@ func dfs(entries []*Block, succFn linkedBlocks) (dfnum []int, order []*Block, pa
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// if it has a dfnum, we've already visited it
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if dfnum[w.ID] == notFound {
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s = append(s, w)
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parent[w.ID] = node
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parent[w.ID] = node.ID
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dfnum[w.ID] = notExplored
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}
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}
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dfnum[node.ID] = n
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order[n] = node
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order[n] = node.ID
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}
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}
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@ -143,77 +152,77 @@ func dominatorsLT(entries []*Block, predFn linkedBlocks, succFn linkedBlocks) []
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// Step 1. Carry out a depth first search of the problem graph. Number
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// the vertices from 1 to n as they are reached during the search.
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dfnum, vertex, parent := dfs(entries, succFn)
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fromID, dfnum, vertex, parent := dfs(entries, succFn)
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maxBlockID := entries[0].Func.NumBlocks()
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semi := make([]*Block, maxBlockID)
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samedom := make([]*Block, maxBlockID)
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semi := make([]ID, maxBlockID)
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samedom := make([]ID, maxBlockID)
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ancestor := make([]ID, maxBlockID)
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best := make([]ID, maxBlockID)
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bucket := make([]ID, maxBlockID)
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idom := make([]*Block, maxBlockID)
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ancestor := make([]*Block, maxBlockID)
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best := make([]*Block, maxBlockID)
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bucket := make([]*Block, maxBlockID)
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// Step 2. Compute the semidominators of all vertices by applying
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// Theorem 4. Carry out the computation vertex by vertex in decreasing
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// order by number.
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for i := maxBlockID - 1; i > 0; i-- {
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w := vertex[i]
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if w == nil {
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if w == 0 {
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continue
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}
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if dfnum[w.ID] == notFound {
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if dfnum[w] == notFound {
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// skip unreachable node
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continue
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}
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// Step 3. Implicitly define the immediate dominator of each
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// vertex by applying Corollary 1. (reordered)
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for v := bucket[w.ID]; v != nil; v = bucket[v.ID] {
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for v := bucket[w]; v != 0; v = bucket[v] {
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u := eval(v, ancestor, semi, dfnum, best)
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if semi[u.ID] == semi[v.ID] {
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idom[v.ID] = w // true dominator
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if semi[u] == semi[v] {
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idom[v] = fromID[w] // true dominator
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} else {
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samedom[v.ID] = u // v has same dominator as u
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samedom[v] = u // v has same dominator as u
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}
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}
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p := parent[w.ID]
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p := parent[w]
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s := p // semidominator
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var sp *Block
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var sp ID
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// calculate the semidominator of w
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for _, v := range w.Preds {
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for _, v := range predFn(fromID[w]) {
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if dfnum[v.ID] == notFound {
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// skip unreachable predecessor
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continue
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}
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if dfnum[v.ID] <= dfnum[w.ID] {
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sp = v
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if dfnum[v.ID] <= dfnum[w] {
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sp = v.ID
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} else {
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sp = semi[eval(v, ancestor, semi, dfnum, best).ID]
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sp = semi[eval(v.ID, ancestor, semi, dfnum, best)]
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}
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if dfnum[sp.ID] < dfnum[s.ID] {
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if dfnum[sp] < dfnum[s] {
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s = sp
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}
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}
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// link
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ancestor[w.ID] = p
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best[w.ID] = w
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ancestor[w] = p
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best[w] = w
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semi[w.ID] = s
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if semi[s.ID] != parent[s.ID] {
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bucket[w.ID] = bucket[s.ID]
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bucket[s.ID] = w
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semi[w] = s
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if semi[s] != parent[s] {
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bucket[w] = bucket[s]
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bucket[s] = w
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}
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}
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// Final pass of step 3
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for v := bucket[0]; v != nil; v = bucket[v.ID] {
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idom[v.ID] = bucket[0]
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for v := bucket[0]; v != 0; v = bucket[v] {
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idom[v] = fromID[bucket[0]]
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}
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// Step 4. Explictly define the immediate dominator of each vertex,
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@ -221,28 +230,28 @@ func dominatorsLT(entries []*Block, predFn linkedBlocks, succFn linkedBlocks) []
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// number.
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for i := 1; i < maxBlockID-1; i++ {
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w := vertex[i]
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if w == nil {
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if w == 0 {
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continue
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}
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// w has the same dominator as samedom[w.ID]
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if samedom[w.ID] != nil {
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idom[w.ID] = idom[samedom[w.ID].ID]
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// w has the same dominator as samedom[w]
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if samedom[w] != 0 {
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idom[w] = idom[samedom[w]]
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}
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}
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return idom
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}
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// eval function from LT paper with path compression
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func eval(v *Block, ancestor []*Block, semi []*Block, dfnum []int, best []*Block) *Block {
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a := ancestor[v.ID]
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if ancestor[a.ID] != nil {
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b := eval(a, ancestor, semi, dfnum, best)
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ancestor[v.ID] = ancestor[a.ID]
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if dfnum[semi[b.ID].ID] < dfnum[semi[best[v.ID].ID].ID] {
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best[v.ID] = b
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func eval(v ID, ancestor []ID, semi []ID, dfnum []int32, best []ID) ID {
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a := ancestor[v]
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if ancestor[a] != 0 {
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bid := eval(a, ancestor, semi, dfnum, best)
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ancestor[v] = ancestor[a]
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if dfnum[semi[bid]] < dfnum[semi[best[v]]] {
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best[v] = bid
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}
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}
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return best[v.ID]
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return best[v]
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}
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// dominators computes the dominator tree for f. It returns a slice
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@ -1624,6 +1624,9 @@ func (s *regAllocState) computeLive() {
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}
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// The live set has changed, update it.
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l := s.live[p.ID][:0]
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if cap(l) == 0 {
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l = make([]liveInfo, 0, len(t.contents()))
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}
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for _, e := range t.contents() {
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l = append(l, liveInfo{e.key, e.val})
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}
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