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2fbfdcffd3
class. The Method class is obsolete (renamed) and all references to it are being converted over to Function. git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@2144 91177308-0d34-0410-b5e6-96231b3b80d8
170 lines
5.7 KiB
C++
170 lines
5.7 KiB
C++
//===-- ProfilePaths.cpp - interface to insert instrumentation ---*- C++ -*--=//
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//
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// This inserts intrumentation for counting
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// execution of paths though a given function
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// Its implemented as a "Function" Pass, and called using opt
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//
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// This pass is implemented by using algorithms similar to
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// 1."Efficient Path Profiling": Ball, T. and Larus, J. R.,
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// Proceedings of Micro-29, Dec 1996, Paris, France.
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// 2."Efficiently Counting Program events with support for on-line
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// "queries": Ball T., ACM Transactions on Programming Languages
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// and systems, Sep 1994.
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//
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// The algorithms work on a Graph constructed over the nodes
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// made from Basic Blocks: The transformations then take place on
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// the constucted graph (implementation in Graph.cpp and GraphAuxillary.cpp)
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// and finally, appropriate instrumentation is placed over suitable edges.
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// (code inserted through EdgeCode.cpp).
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//
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// The algorithm inserts code such that every acyclic path in the CFG
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// of a function is identified through a unique number. the code insertion
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// is optimal in the sense that its inserted over a minimal set of edges. Also,
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// the algorithm makes sure than initialization, path increment and counter
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// update can be collapsed into minmimum number of edges.
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//===----------------------------------------------------------------------===//
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#include "llvm/Transforms/Instrumentation/ProfilePaths.h"
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#include "llvm/Transforms/UnifyMethodExitNodes.h"
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#include "llvm/Support/CFG.h"
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#include "llvm/Function.h"
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#include "llvm/BasicBlock.h"
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#include "llvm/ConstantVals.h"
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#include "llvm/DerivedTypes.h"
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#include "llvm/iMemory.h"
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#include "llvm/Pass.h"
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#include "Graph.h"
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using std::vector;
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class ProfilePaths: public MethodPass {
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public:
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bool runOnMethod(Function *M);
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// Before this pass, make sure that there is only one
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// entry and only one exit node for the function in the CFG of the function
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//
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void ProfilePaths::getAnalysisUsageInfo(Pass::AnalysisSet &Requires,
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Pass::AnalysisSet &Destroyed,
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Pass::AnalysisSet &Provided) {
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Requires.push_back(UnifyMethodExitNodes::ID);
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}
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};
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// createProfilePathsPass - Create a new pass to add path profiling
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//
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Pass *createProfilePathsPass() {
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return new ProfilePaths();
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}
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static Node *findBB(std::set<Node *> &st, BasicBlock *BB){
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for(std::set<Node *>::iterator si=st.begin(); si!=st.end(); ++si){
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if(((*si)->getElement())==BB){
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return *si;
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}
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}
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return NULL;
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}
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//Per function pass for inserting counters and trigger code
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bool ProfilePaths::runOnMethod(Function *M){
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//Transform the cfg s.t. we have just one exit node
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BasicBlock *ExitNode =
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getAnalysis<UnifyMethodExitNodes>().getExitNode();
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//iterating over BBs and making graph
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std::set<Node *> nodes;
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std::set<Edge> edges;
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Node *tmp;
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Node *exitNode, *startNode;
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//The nodes must be uniquesly identified:
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//That is, no two nodes must hav same BB*
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//First enter just nodes: later enter edges
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for (Function::iterator BB = M->begin(), BE=M->end(); BB != BE; ++BB){
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Node *nd=new Node(*BB);
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nodes.insert(nd);
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if(*BB==ExitNode)
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exitNode=nd;
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if(*BB==M->front())
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startNode=nd;
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}
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//now do it againto insert edges
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for (Function::iterator BB = M->begin(), BE=M->end(); BB != BE; ++BB){
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Node *nd=findBB(nodes, *BB);
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assert(nd && "No node for this edge!");
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for(BasicBlock::succ_iterator s=succ_begin(*BB), se=succ_end(*BB);
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s!=se; ++s){
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Node *nd2=findBB(nodes,*s);
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assert(nd2 && "No node for this edge!");
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Edge ed(nd,nd2,0);
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edges.insert(ed);
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}
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}
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Graph g(nodes,edges, startNode, exitNode);
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#ifdef DEBUG_PATH_PROFILES
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printGraph(g);
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#endif
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BasicBlock *fr=M->front();
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//If only one BB, don't instrument
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if (M->getBasicBlocks().size() == 1) {
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//The graph is made acyclic: this is done
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//by removing back edges for now, and adding them later on
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vector<Edge> be;
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g.getBackEdges(be);
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#ifdef DEBUG_PATH_PROFILES
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cerr<<"Backedges:"<<be.size()<<endl;
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#endif
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//Now we need to reflect the effect of back edges
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//This is done by adding dummy edges
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//If a->b is a back edge
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//Then we add 2 back edges for it:
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//1. from root->b (in vector stDummy)
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//and 2. from a->exit (in vector exDummy)
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vector<Edge> stDummy;
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vector<Edge> exDummy;
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addDummyEdges(stDummy, exDummy, g, be);
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//Now, every edge in the graph is assigned a weight
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//This weight later adds on to assign path
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//numbers to different paths in the graph
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// All paths for now are acyclic,
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//since no back edges in the graph now
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//numPaths is the number of acyclic paths in the graph
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int numPaths=valueAssignmentToEdges(g);
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//create instruction allocation r and count
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//r is the variable that'll act like an accumulator
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//all along the path, we just add edge values to r
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//and at the end, r reflects the path number
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//count is an array: count[x] would store
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//the number of executions of path numbered x
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Instruction *rVar=new
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AllocaInst(PointerType::get(Type::IntTy),
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ConstantUInt::get(Type::UIntTy,1),"R");
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Instruction *countVar=new
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AllocaInst(PointerType::get(Type::IntTy),
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ConstantUInt::get(Type::UIntTy, numPaths), "Count");
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//insert initialization code in first (entry) BB
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//this includes initializing r and count
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insertInTopBB(M->getEntryNode(),numPaths, rVar, countVar);
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//now process the graph: get path numbers,
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//get increments along different paths,
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//and assign "increments" and "updates" (to r and count)
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//"optimally". Finally, insert llvm code along various edges
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processGraph(g, rVar, countVar, be, stDummy, exDummy);
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}
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return true; // Always modifies function
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}
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