first commit

master
shenzhuan 2 years ago
commit ded4a6b87d

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.idea/.gitignore vendored

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# Default ignored files
/shelf/
/workspace.xml
# Editor-based HTTP Client requests
/httpRequests/
# Datasource local storage ignored files
/dataSources/
/dataSources.local.xml

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<?xml version="1.0" encoding="UTF-8"?>
<module type="WEB_MODULE" version="4">
<component name="Go" enabled="true" />
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$" />
<orderEntry type="inheritedJdk" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
</module>

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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/.idea/edu_demo.iml" filepath="$PROJECT_DIR$/.idea/edu_demo.iml" />
</modules>
</component>
</project>

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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="VcsDirectoryMappings">
<mapping directory="$PROJECT_DIR$" vcs="Git" />
</component>
</project>

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module edu
go 1.19

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// Go from multi-language-benchmark/src/havlak/go_pro
// Copyright 2011 Google Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Test Program for the Havlak loop finder.
//
// This program constructs a fairly large control flow
// graph and performs loop recognition. This is the Go
// version.
//
package main
import (
"flag"
"fmt"
"log"
"os"
"runtime/pprof"
)
type BasicBlock struct {
Name int
InEdges []*BasicBlock
OutEdges []*BasicBlock
}
func NewBasicBlock(name int) *BasicBlock {
return &BasicBlock{Name: name}
}
func (bb *BasicBlock) Dump() {
fmt.Printf("BB#%06d:", bb.Name)
if len(bb.InEdges) > 0 {
fmt.Printf(" in :")
for _, iter := range bb.InEdges {
fmt.Printf(" BB#%06d", iter.Name)
}
}
if len(bb.OutEdges) > 0 {
fmt.Print(" out:")
for _, iter := range bb.OutEdges {
fmt.Printf(" BB#%06d", iter.Name)
}
}
fmt.Printf("\n")
}
func (bb *BasicBlock) NumPred() int {
return len(bb.InEdges)
}
func (bb *BasicBlock) NumSucc() int {
return len(bb.OutEdges)
}
func (bb *BasicBlock) AddInEdge(from *BasicBlock) {
bb.InEdges = append(bb.InEdges, from)
}
func (bb *BasicBlock) AddOutEdge(to *BasicBlock) {
bb.OutEdges = append(bb.OutEdges, to)
}
//-----------------------------------------------------------
type CFG struct {
Blocks []*BasicBlock
Start *BasicBlock
}
func NewCFG() *CFG {
return &CFG{}
}
func (cfg *CFG) NumNodes() int {
return len(cfg.Blocks)
}
func (cfg *CFG) CreateNode(node int) *BasicBlock {
if node < len(cfg.Blocks) {
return cfg.Blocks[node]
}
if node != len(cfg.Blocks) {
println("oops", node, len(cfg.Blocks))
panic("wtf")
}
bblock := NewBasicBlock(node)
cfg.Blocks = append(cfg.Blocks, bblock)
if len(cfg.Blocks) == 1 {
cfg.Start = bblock
}
return bblock
}
func (cfg *CFG) Dump() {
for _, n := range cfg.Blocks {
n.Dump()
}
}
//-----------------------------------------------------------
type BasicBlockEdge struct {
Dst *BasicBlock
Src *BasicBlock
}
func NewBasicBlockEdge(cfg *CFG, from int, to int) *BasicBlockEdge {
self := new(BasicBlockEdge)
self.Src = cfg.CreateNode(from)
self.Dst = cfg.CreateNode(to)
self.Src.AddOutEdge(self.Dst)
self.Dst.AddInEdge(self.Src)
return self
}
//-----------------------------------------------------------
// Basic Blocks and Loops are being classified as regular, irreducible,
// and so on. This enum contains a symbolic name for all these classifications
//
const (
_ = iota // Go has an interesting iota concept
bbTop // uninitialized
bbNonHeader // a regular BB
bbReducible // reducible loop
bbSelf // single BB loop
bbIrreducible // irreducible loop
bbDead // a dead BB
bbLast // sentinel
)
// UnionFindNode is used in the Union/Find algorithm to collapse
// complete loops into a single node. These nodes and the
// corresponding functionality are implemented with this class
//
type UnionFindNode struct {
parent *UnionFindNode
bb *BasicBlock
loop *SimpleLoop
dfsNumber int
}
// Init explicitly initializes UnionFind nodes.
//
func (u *UnionFindNode) Init(bb *BasicBlock, dfsNumber int) {
u.parent = u
u.bb = bb
u.dfsNumber = dfsNumber
u.loop = nil
}
// FindSet implements the Find part of the Union/Find Algorithm
//
// Implemented with Path Compression (inner loops are only
// visited and collapsed once, however, deep nests would still
// result in significant traversals).
//
func (u *UnionFindNode) FindSet() *UnionFindNode {
var nodeList []*UnionFindNode
node := u
for ; node != node.parent; node = node.parent {
if node.parent != node.parent.parent {
nodeList = append(nodeList, node)
}
}
// Path Compression, all nodes' parents point to the 1st level parent.
for _, ll := range nodeList {
ll.parent = node.parent
}
return node
}
// Union relies on path compression.
//
func (u *UnionFindNode) Union(B *UnionFindNode) {
u.parent = B
}
// Constants
//
// Marker for uninitialized nodes.
const unvisited = -1
// Safeguard against pathological algorithm behavior.
const maxNonBackPreds = 32 * 1024
// IsAncestor
//
// As described in the paper, determine whether a node 'w' is a
// "true" ancestor for node 'v'.
//
// Dominance can be tested quickly using a pre-order trick
// for depth-first spanning trees. This is why DFS is the first
// thing we run below.
//
// Go comment: Parameters can be written as w,v int, inlike in C, where
// each parameter needs its own type.
//
func isAncestor(w, v int, last []int) bool {
return ((w <= v) && (v <= last[w]))
}
// listContainsNode
//
// Check whether a list contains a specific element.
//
func listContainsNode(l []*UnionFindNode, u *UnionFindNode) bool {
for _, ll := range l {
if ll == u {
return true
}
}
return false
}
// DFS - Depth-First-Search and node numbering.
// Step a:
//func DFS(currentNode *BasicBlock, nodes []*UnionFindNode, number map[*BasicBlock]int, last []int, current int) int {
//// step b:
// nodes[current].Init(currentNode, current)
// number[currentNode] = current
//
// lastid := current
// for _, target := range currentNode.OutEdges {
// if number[target] == unvisited {
// lastid = DFS(target, nodes, number, last, lastid+1)
// }
// }
// last[number[currentNode]] = lastid
// return lastid
//}
// Step b:
func DFS(currentNode *BasicBlock, nodes []*UnionFindNode, number []int, last []int, current int) int {
nodes[current].Init(currentNode, current)
number[currentNode.Name] = current
lastid := current
for _, target := range currentNode.OutEdges {
if number[target.Name] == unvisited {
lastid = DFS(target, nodes, number, last, lastid+1)
}
}
last[number[currentNode.Name]] = lastid
return lastid
}
// step d 所需
func appendUnique(a []int, x int) []int {
for _, y := range a {
if x == y {
return a
}
}
return append(a, x)
}
// FindLoops
//
// Find loops and build loop forest using Havlak's algorithm, which
// is derived from Tarjan. Variable names and step numbering has
// been chosen to be identical to the nomenclature in Havlak's
// paper (which, in turn, is similar to the one used by Tarjan).
//
func FindLoops(cfgraph *CFG, lsgraph *LSG) {
if cfgraph.Start == nil {
return
}
size := cfgraph.NumNodes()
//step a b c
//nonBackPreds := make([]map[int]bool, size)
//step d
nonBackPreds := make([][]int, size)
backPreds := make([][]int, size)
//step a:
//number := make(map[*BasicBlock]int)
//step b:
number := make([]int, size)
header := make([]int, size, size)
types := make([]int, size, size)
last := make([]int, size, size)
nodes := make([]*UnionFindNode, size, size)
for i := 0; i < size; i++ {
nodes[i] = new(UnionFindNode)
}
// Step a:for _, bb := range cfgraph.Blocks {
// - initialize all nodes as unvisited.
// - depth-first traversal and numbering.
// - unreached BB's are marked as dead.
//
//step d for i,bb 改成 for _,bb
for _, bb := range cfgraph.Blocks {
// Step a:
//number[bb] = unvisited
// Step b:
number[bb.Name] = unvisited
//step d 注释下面行
//nonBackPreds[i] = make(map[int]bool)
}
//Step a:
DFS(cfgraph.Start, nodes, number, last, 0)
// A backedge comes from a descendant in the DFS tree, and non-backedges
// from non-descendants (following Tarjan).
//
// - check incoming edges 'v' and add them to either
// - the list of backedges (backPreds) or
// - the list of non-backedges (nonBackPreds)
//
for w := 0; w < size; w++ {
header[w] = 0
types[w] = bbNonHeader
nodeW := nodes[w].bb
if nodeW == nil {
types[w] = bbDead
continue // dead BB
}
if nodeW.NumPred() > 0 {
for _, nodeV := range nodeW.InEdges {
//step a:
//v := number[nodeV]
//step b:
v := number[nodeV.Name]
if v == unvisited {
continue // dead node
}
if isAncestor(w, v, last) {
backPreds[w] = append(backPreds[w], v)
} else {
// step abc
// nonBackPreds[w][v] = true
//step d
nonBackPreds[w] = appendUnique(nonBackPreds[w], v)
}
}
}
}
// Start node is root of all other loops.
header[0] = 0
// Step c:
//
// The outer loop, unchanged from Tarjan. It does nothing except
// for those nodes which are the destinations of backedges.
// For a header node w, we chase backward from the sources of the
// backedges adding nodes to the set P, representing the body of
// the loop headed by w.
//
// By running through the nodes in reverse of the DFST preorder,
// we ensure that inner loop headers will be processed before the
// headers for surrounding loops.
//
for w := size - 1; w >= 0; w-- {
// this is 'P' in Havlak's paper
var nodePool []*UnionFindNode
nodeW := nodes[w].bb
if nodeW == nil {
continue // dead BB
}
// Step d:
for _, v := range backPreds[w] {
if v != w {
nodePool = append(nodePool, nodes[v].FindSet())
} else {
types[w] = bbSelf
}
}
// Copy nodePool to workList.
//
workList := append([]*UnionFindNode(nil), nodePool...)
if len(nodePool) != 0 {
types[w] = bbReducible
}
// work the list...
//
for len(workList) > 0 {
x := workList[0]
workList = workList[1:]
// Step e:
//
// Step e represents the main difference from Tarjan's method.
// Chasing upwards from the sources of a node w's backedges. If
// there is a node y' that is not a descendant of w, w is marked
// the header of an irreducible loop, there is another entry
// into this loop that avoids w.
//
// The algorithm has degenerated. Break and
// return in this case.
//
nonBackSize := len(nonBackPreds[x.dfsNumber])
if nonBackSize > maxNonBackPreds {
return
}
for iter := range nonBackPreds[x.dfsNumber] {
y := nodes[iter]
ydash := y.FindSet()
if !isAncestor(w, ydash.dfsNumber, last) {
types[w] = bbIrreducible
//step abc
//nonBackPreds[w][ydash.dfsNumber] = true
//step d
nonBackPreds[w] = appendUnique(nonBackPreds[w], ydash.dfsNumber)
} else {
if ydash.dfsNumber != w {
if !listContainsNode(nodePool, ydash) {
workList = append(workList, ydash)
nodePool = append(nodePool, ydash)
}
}
}
}
}
// Collapse/Unionize nodes in a SCC to a single node
// For every SCC found, create a loop descriptor and link it in.
//
if (len(nodePool) > 0) || (types[w] == bbSelf) {
loop := lsgraph.NewLoop()
loop.SetHeader(nodeW)
if types[w] != bbIrreducible {
loop.IsReducible = true
}
// At this point, one can set attributes to the loop, such as:
//
// the bottom node:
// iter = backPreds[w].begin();
// loop bottom is: nodes[iter].node);
//
// the number of backedges:
// backPreds[w].size()
//
// whether this loop is reducible:
// type[w] != BasicBlockClass.bbIrreducible
//
nodes[w].loop = loop
for _, node := range nodePool {
// Add nodes to loop descriptor.
header[node.dfsNumber] = w
node.Union(nodes[w])
// Nested loops are not added, but linked together.
if node.loop != nil {
node.loop.Parent = loop
} else {
loop.AddNode(node.bb)
}
}
lsgraph.AddLoop(loop)
} // nodePool.size
} // Step c
}
// External entry point.
func FindHavlakLoops(cfgraph *CFG, lsgraph *LSG) int {
FindLoops(cfgraph, lsgraph)
return lsgraph.NumLoops()
}
//======================================================
// Scaffold Code
//======================================================
// Basic representation of loops, a loop has an entry point,
// one or more exit edges, a set of basic blocks, and potentially
// an outer loop - a "parent" loop.
//
// Furthermore, it can have any set of properties, e.g.,
// it can be an irreducible loop, have control flow, be
// a candidate for transformations, and what not.
//
type SimpleLoop struct {
// No set, use map to bool
basicBlocks map[*BasicBlock]bool
Children map[*SimpleLoop]bool
Parent *SimpleLoop
header *BasicBlock
IsRoot bool
IsReducible bool
Counter int
NestingLevel int
DepthLevel int
}
func (loop *SimpleLoop) AddNode(bb *BasicBlock) {
loop.basicBlocks[bb] = true
}
func (loop *SimpleLoop) AddChildLoop(child *SimpleLoop) {
loop.Children[child] = true
}
func (loop *SimpleLoop) Dump(indent int) {
for i := 0; i < indent; i++ {
fmt.Printf(" ")
}
// No ? operator ?
fmt.Printf("loop-%d nest: %d depth %d ",
loop.Counter, loop.NestingLevel, loop.DepthLevel)
if !loop.IsReducible {
fmt.Printf("(Irreducible) ")
}
// must have > 0
if len(loop.Children) > 0 {
fmt.Printf("Children: ")
for ll := range loop.Children {
fmt.Printf("loop-%d", ll.Counter)
}
}
if len(loop.basicBlocks) > 0 {
fmt.Printf("(")
for bb := range loop.basicBlocks {
fmt.Printf("BB#%06d ", bb.Name)
if loop.header == bb {
fmt.Printf("*")
}
}
fmt.Printf("\b)")
}
fmt.Printf("\n")
}
func (loop *SimpleLoop) SetParent(parent *SimpleLoop) {
loop.Parent = parent
loop.Parent.AddChildLoop(loop)
}
func (loop *SimpleLoop) SetHeader(bb *BasicBlock) {
loop.AddNode(bb)
loop.header = bb
}
//------------------------------------
// Helper (No templates or such)
//
func max(x, y int) int {
if x > y {
return x
}
return y
}
// LoopStructureGraph
//
// Maintain loop structure for a given CFG.
//
// Two values are maintained for this loop graph, depth, and nesting level.
// For example:
//
// loop nesting level depth
//----------------------------------------
// loop-0 2 0
// loop-1 1 1
// loop-3 1 1
// loop-2 0 2
//
var loopCounter = 0
type LSG struct {
root *SimpleLoop
loops []*SimpleLoop
}
func NewLSG() *LSG {
lsg := new(LSG)
lsg.root = lsg.NewLoop()
lsg.root.NestingLevel = 0
return lsg
}
func (lsg *LSG) NewLoop() *SimpleLoop {
loop := new(SimpleLoop)
loop.basicBlocks = make(map[*BasicBlock]bool)
loop.Children = make(map[*SimpleLoop]bool)
loop.Parent = nil
loop.header = nil
loop.Counter = loopCounter
loopCounter++
return loop
}
func (lsg *LSG) AddLoop(loop *SimpleLoop) {
lsg.loops = append(lsg.loops, loop)
}
func (lsg *LSG) Dump() {
lsg.dump(lsg.root, 0)
}
func (lsg *LSG) dump(loop *SimpleLoop, indent int) {
loop.Dump(indent)
for ll := range loop.Children {
lsg.dump(ll, indent+1)
}
}
func (lsg *LSG) CalculateNestingLevel() {
for _, sl := range lsg.loops {
if sl.IsRoot {
continue
}
if sl.Parent == nil {
sl.SetParent(lsg.root)
}
}
lsg.calculateNestingLevel(lsg.root, 0)
}
func (lsg *LSG) calculateNestingLevel(loop *SimpleLoop, depth int) {
loop.DepthLevel = depth
for ll := range loop.Children {
lsg.calculateNestingLevel(ll, depth+1)
ll.NestingLevel = max(loop.NestingLevel, ll.NestingLevel+1)
}
}
func (lsg *LSG) NumLoops() int {
return len(lsg.loops)
}
func (lsg *LSG) Root() *SimpleLoop {
return lsg.root
}
//======================================================
// Testing Code
//======================================================
func buildDiamond(cfgraph *CFG, start int) int {
bb0 := start
NewBasicBlockEdge(cfgraph, bb0, bb0+1)
NewBasicBlockEdge(cfgraph, bb0, bb0+2)
NewBasicBlockEdge(cfgraph, bb0+1, bb0+3)
NewBasicBlockEdge(cfgraph, bb0+2, bb0+3)
return bb0 + 3
}
func buildConnect(cfgraph *CFG, start int, end int) {
NewBasicBlockEdge(cfgraph, start, end)
}
func buildStraight(cfgraph *CFG, start int, n int) int {
for i := 0; i < n; i++ {
buildConnect(cfgraph, start+i, start+i+1)
}
return start + n
}
func buildBaseLoop(cfgraph *CFG, from int) int {
header := buildStraight(cfgraph, from, 1)
diamond1 := buildDiamond(cfgraph, header)
d11 := buildStraight(cfgraph, diamond1, 1)
diamond2 := buildDiamond(cfgraph, d11)
footer := buildStraight(cfgraph, diamond2, 1)
buildConnect(cfgraph, diamond2, d11)
buildConnect(cfgraph, diamond1, header)
buildConnect(cfgraph, footer, from)
footer = buildStraight(cfgraph, footer, 1)
return footer
}
//step a b 接收参数 存储cpu信息 修改成默认存储文件
var cpuprofile = flag.String("cpuprofile", "cpu.prof", "write cpu profile to this file")
//step c 存储内存信息
var memprofile = flag.String("memprofile", "mem.prof", "write memory profile to this file")
func main() {
flag.Parse()
if *cpuprofile != "" {
f, err := os.Create(*cpuprofile)
if err != nil {
log.Fatal(err)
}
pprof.StartCPUProfile(f)
defer pprof.StopCPUProfile()
}
lsgraph := NewLSG()
cfgraph := NewCFG()
cfgraph.CreateNode(0) // top
cfgraph.CreateNode(1) // bottom
NewBasicBlockEdge(cfgraph, 0, 2)
for dummyloop := 0; dummyloop < 15000; dummyloop++ {
FindHavlakLoops(cfgraph, NewLSG())
}
n := 2
for parlooptrees := 0; parlooptrees < 10; parlooptrees++ {
cfgraph.CreateNode(n + 1)
buildConnect(cfgraph, 2, n+1)
n = n + 1
for i := 0; i < 100; i++ {
top := n
n = buildStraight(cfgraph, n, 1)
for j := 0; j < 25; j++ {
n = buildBaseLoop(cfgraph, n)
}
bottom := buildStraight(cfgraph, n, 1)
buildConnect(cfgraph, n, top)
n = bottom
}
buildConnect(cfgraph, n, 1)
}
FindHavlakLoops(cfgraph, lsgraph)
//step c 记录内存
if *memprofile != "" {
f, err := os.Create(*memprofile)
if err != nil {
log.Fatal(err)
}
pprof.WriteHeapProfile(f)
f.Close()
return
}
for i := 0; i < 50; i++ {
FindHavlakLoops(cfgraph, NewLSG())
}
fmt.Printf("# of loops: %d (including 1 artificial root node)\n", lsgraph.NumLoops())
lsgraph.CalculateNestingLevel()
}

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