Master complex optimization techniques and integrate specialized transformations into LLVM
Explore Advanced TopicsUse Polly and LLVM's vectorization passes for optimizing nested loops and parallelism.
Learn Loop TransformationsAnalyze and enhance memory layout with alias and access pattern analysis passes.
Optimize Memory AccessLearn to create feedback-directed optimizations using runtime performance data.
Read Tutorial →Transform CPU-bound code to optimize for GPU architectures using AMDGPU or NVIDIA targets.
Learn More →Implement whole-program optimizations across translation units with ThinLTO.
View Guide →Create custom vectorization passes for SIMD CPU architectures and machine-specific code paths.
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#include "llvm/Passes/Pass.h"
#include "llvm/Transforms/Vectorize.h"
using namespace llvm;
namespace {
struct VecOptPass : public FunctionPass {
static char ID;
VecOptPass() : FunctionPass(ID) {}
bool runOnFunction(Function &F) override {
// Use LoopVectorize
LoopVectorize LVec;
return LVec.run(F, getAnalysis());
}
};
}
char VecOptPass::ID = 0;
static RegisterPass X("vec-opt", "Vector Optimization Pass");
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