forked from OSchip/llvm-project
GPGPU: Create host control flow
Create LLVM-IR for all host-side control flow of a given GPU AST. We implement this by introducing a new GPUNodeBuilder class derived from IslNodeBuilder. The IslNodeBuilder will take care of generating all general-purpose ast nodes, but we provide our own createUser implementation to handle the different GPU specific user statements. For now, we just skip any user statement and only generate a host-code sceleton, but in subsequent commits we will add handling of normal ScopStmt's performing computations, kernel calls, as well as host-device data transfers. We will also introduce run-time check generation and LICM in subsequent commits. llvm-svn: 275783
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@ -13,6 +13,7 @@
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//===----------------------------------------------------------------------===//
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#include "polly/CodeGen/IslNodeBuilder.h"
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#include "polly/CodeGen/Utils.h"
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#include "polly/DependenceInfo.h"
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#include "polly/LinkAllPasses.h"
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#include "polly/Options.h"
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@ -68,6 +69,35 @@ static __isl_give isl_id_to_ast_expr *pollyBuildAstExprForStmt(
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return nullptr;
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}
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/// Generate code for a GPU specific isl AST.
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///
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/// The GPUNodeBuilder augments the general existing IslNodeBuilder, which
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/// generates code for general-prupose AST nodes, with special functionality
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/// for generating GPU specific user nodes.
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///
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/// @see GPUNodeBuilder::createUser
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class GPUNodeBuilder : public IslNodeBuilder {
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public:
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GPUNodeBuilder(PollyIRBuilder &Builder, ScopAnnotator &Annotator, Pass *P,
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const DataLayout &DL, LoopInfo &LI, ScalarEvolution &SE,
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DominatorTree &DT, Scop &S)
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: IslNodeBuilder(Builder, Annotator, P, DL, LI, SE, DT, S) {}
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private:
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/// Create code for user-defined AST nodes.
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///
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/// These AST nodes can be of type:
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///
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/// - ScopStmt: A computational statement (TODO)
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/// - Kernel: A GPU kernel call (TODO)
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/// - Data-Transfer: A GPU <-> CPU data-transfer (TODO)
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///
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virtual void createUser(__isl_take isl_ast_node *User) {
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isl_ast_node_free(User);
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return;
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}
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};
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namespace {
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class PPCGCodeGeneration : public ScopPass {
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public:
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@ -76,6 +106,12 @@ public:
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/// The scop that is currently processed.
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Scop *S;
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LoopInfo *LI;
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DominatorTree *DT;
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ScalarEvolution *SE;
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const DataLayout *DL;
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RegionInfo *RI;
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PPCGCodeGeneration() : ScopPass(ID) {}
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/// Construct compilation options for PPCG.
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@ -650,12 +686,58 @@ public:
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PPCGScop->options = nullptr;
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}
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/// Generate code for a given GPU AST described by @p Root.
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///
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/// @param An isl_ast_node pointing to the root of the GPU AST.
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void generateCode(__isl_take isl_ast_node *Root) {
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ScopAnnotator Annotator;
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Annotator.buildAliasScopes(*S);
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Region *R = &S->getRegion();
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simplifyRegion(R, DT, LI, RI);
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BasicBlock *EnteringBB = R->getEnteringBlock();
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PollyIRBuilder Builder = createPollyIRBuilder(EnteringBB, Annotator);
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GPUNodeBuilder NodeBuilder(Builder, Annotator, this, *DL, *LI, *SE, *DT,
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*S);
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// Only build the run-time condition and parameters _after_ having
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// introduced the conditional branch. This is important as the conditional
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// branch will guard the original scop from new induction variables that
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// the SCEVExpander may introduce while code generating the parameters and
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// which may introduce scalar dependences that prevent us from correctly
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// code generating this scop.
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BasicBlock *StartBlock =
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executeScopConditionally(*S, this, Builder.getTrue());
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// TODO: Handle LICM
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// TODO: Verify run-time checks
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auto SplitBlock = StartBlock->getSinglePredecessor();
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Builder.SetInsertPoint(SplitBlock->getTerminator());
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NodeBuilder.addParameters(S->getContext());
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Builder.SetInsertPoint(&*StartBlock->begin());
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NodeBuilder.create(Root);
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NodeBuilder.finalizeSCoP(*S);
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}
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bool runOnScop(Scop &CurrentScop) override {
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S = &CurrentScop;
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LI = &getAnalysis<LoopInfoWrapperPass>().getLoopInfo();
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DT = &getAnalysis<DominatorTreeWrapperPass>().getDomTree();
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SE = &getAnalysis<ScalarEvolutionWrapperPass>().getSE();
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DL = &S->getRegion().getEntry()->getParent()->getParent()->getDataLayout();
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RI = &getAnalysis<RegionInfoPass>().getRegionInfo();
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auto PPCGScop = createPPCGScop();
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auto PPCGProg = createPPCGProg(PPCGScop);
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auto PPCGGen = generateGPU(PPCGScop, PPCGProg);
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if (PPCGGen->tree)
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generateCode(isl_ast_node_copy(PPCGGen->tree));
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freeOptions(PPCGScop);
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freePPCGGen(PPCGGen);
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gpu_prog_free(PPCGProg);
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@ -7,6 +7,9 @@
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; RUN: -disable-output < %s | \
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; RUN: FileCheck -check-prefix=CODE %s
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; RUN: opt %loadPolly -polly-codegen-ppcg -S < %s | \
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; RUN: FileCheck %s -check-prefix=IR
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; REQUIRES: pollyacc
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; CHECK: Stmt_bb5
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@ -77,7 +80,14 @@
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; CODE-NEXT: for (int c3 = 0; c3 <= 1; c3 += 1)
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; CODE-NEXT: Stmt_bb5(32 * b0 + t0, 32 * b1 + t1 + 16 * c3);
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; IR: polly.split_new_and_old:
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; IR-NEXT: br i1 true, label %polly.start, label %bb2
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; IR: polly.start:
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; IR-NEXT: br label %polly.exiting
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; IR: polly.exiting:
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; IR-NEXT: br label %polly.merge_new_and_old
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; void double_parallel_loop(float A[][1024]) {
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; for (long i = 0; i < 1024; i++)
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@ -0,0 +1,86 @@
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; RUN: opt %loadPolly -polly-codegen-ppcg -disable-output \
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; RUN: -polly-acc-dump-code < %s | FileCheck %s -check-prefix=CODE
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; RUN: opt %loadPolly -polly-codegen-ppcg \
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; RUN: -S < %s | FileCheck %s -check-prefix=IR
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; void foo(float A[2][100]) {
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; for (long t = 0; t < 100; t++)
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; for (long i = 1; i < 99; i++)
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; A[(t + 1) % 2][i] += A[t % 2][i - 1] + A[t % 2][i] + A[t % 2][i + 1];
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; }
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; CODE: # host
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; CODE-NEXT: {
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; CODE-NEXT: cudaCheckReturn(cudaMemcpy(dev_MemRef_A, MemRef_A, (2) * (100) * sizeof(float), cudaMemcpyHostToDevice));
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; CODE-NEXT: for (int c0 = 0; c0 <= 99; c0 += 1)
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; CODE-NEXT: {
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; CODE-NEXT: dim3 k0_dimBlock(32);
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; CODE-NEXT: dim3 k0_dimGrid(4);
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; CODE-NEXT: kernel0 <<<k0_dimGrid, k0_dimBlock>>> (c0);
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; CODE-NEXT: cudaCheckKernel();
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; CODE-NEXT: }
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; CODE: cudaCheckReturn(cudaMemcpy(MemRef_A, dev_MemRef_A, (2) * (100) * sizeof(float), cudaMemcpyDeviceToHost));
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; CODE-NEXT: }
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; IR-LABEL: polly.loop_header: ; preds = %polly.loop_header, %polly.loop_preheader
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; IR-NEXT: %polly.indvar = phi i64 [ 0, %polly.loop_preheader ], [ %polly.indvar_next, %polly.loop_header ]
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; IR-NEXT: %polly.indvar_next = add nsw i64 %polly.indvar, 1
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; IR-NEXT: %polly.loop_cond = icmp sle i64 %polly.indvar, 98
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; IR-NEXT: br i1 %polly.loop_cond, label %polly.loop_header, label %polly.loop_exit
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target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
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define void @foo([100 x float]* %A) {
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entry:
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br label %for.cond
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for.cond: ; preds = %for.inc18, %entry
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%t.0 = phi i64 [ 0, %entry ], [ %inc19, %for.inc18 ]
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%exitcond1 = icmp ne i64 %t.0, 100
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br i1 %exitcond1, label %for.body, label %for.end20
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for.body: ; preds = %for.cond
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br label %for.cond1
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for.cond1: ; preds = %for.inc, %for.body
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%i.0 = phi i64 [ 1, %for.body ], [ %inc, %for.inc ]
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%exitcond = icmp ne i64 %i.0, 99
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br i1 %exitcond, label %for.body3, label %for.end
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for.body3: ; preds = %for.cond1
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%sub = add nsw i64 %i.0, -1
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%rem = srem i64 %t.0, 2
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%arrayidx4 = getelementptr inbounds [100 x float], [100 x float]* %A, i64 %rem, i64 %sub
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%tmp = load float, float* %arrayidx4, align 4
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%rem5 = srem i64 %t.0, 2
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%arrayidx7 = getelementptr inbounds [100 x float], [100 x float]* %A, i64 %rem5, i64 %i.0
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%tmp2 = load float, float* %arrayidx7, align 4
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%add = fadd float %tmp, %tmp2
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%add8 = add nuw nsw i64 %i.0, 1
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%rem9 = srem i64 %t.0, 2
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%arrayidx11 = getelementptr inbounds [100 x float], [100 x float]* %A, i64 %rem9, i64 %add8
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%tmp3 = load float, float* %arrayidx11, align 4
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%add12 = fadd float %add, %tmp3
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%add13 = add nuw nsw i64 %t.0, 1
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%rem14 = srem i64 %add13, 2
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%arrayidx16 = getelementptr inbounds [100 x float], [100 x float]* %A, i64 %rem14, i64 %i.0
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%tmp4 = load float, float* %arrayidx16, align 4
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%add17 = fadd float %tmp4, %add12
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store float %add17, float* %arrayidx16, align 4
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br label %for.inc
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for.inc: ; preds = %for.body3
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%inc = add nuw nsw i64 %i.0, 1
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br label %for.cond1
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for.end: ; preds = %for.cond1
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br label %for.inc18
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for.inc18: ; preds = %for.end
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%inc19 = add nuw nsw i64 %t.0, 1
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br label %for.cond
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for.end20: ; preds = %for.cond
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ret void
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}
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