search for: loopinvariantcodemot

...the "real" In and Out of each > Instruction. > Maybe I should work on another level or with another object representation? > > Ty again :) > > > Can you show me the complete function you're looking at? Have you run > mem2reg on your IR? > I was looking the LoopInvariantCodeMotion::runOnLoop. No I didn't run mem2reg on my IR… Is it necessary? I finally use the address of the operands and instruction to have a kind of ID of each %<num> It seems that it refers well what I want… Let be the Instruction I: %0 = mul nsw i32 %1, %2 &I = 0x3d9f850 → %0 operands(...

...::LoopInfo*, llvm::DominatorTree*, llvm::TargetLibraryInfo*, llvm::TargetTransformInfo*, llvm::Loop*, llvm::AliasSetTracker*, llvm::MemorySSAUpdater*, llvm::ICFLoopSafetyInfo*, llvm::SinkAndHoistLICMFlags&, llvm::OptimizationRemarkEmitter*) (+0x66c) #6 0x00000000014228f8 (anonymous namespace)::LoopInvariantCodeMotion::runOnLoop(llvm::Loop*, llvm::AAResults*, llvm::LoopInfo*, llvm::DominatorTree*, llvm::TargetLibraryInfo*, llvm::TargetTransformInfo*, llvm::ScalarEvolution*, llvm::MemorySSA*, llvm::OptimizationRemarkEmitter*, bool) (/opt/arm/arm-linux-compiler-20.0_Generic-AArch64_RHEL-7_aarch64-linux/llvm-bin...

...uction. >> Maybe I should work on another level or with another object >> representation? >> >> Ty again :) >> >> >> Can you show me the complete function you're looking at? Have you run >> mem2reg on your IR? >> > > I was looking the LoopInvariantCodeMotion::runOnLoop. > > No I didn't run mem2reg on my IR… > Is it necessary? > > > It's not necessary for correctness, but if you want to understand how the > LLVM optimizer works in practice, you'll want to look at realistic input to > LICM. > > > I finally...

Ty Eli for your answer. On Tue, Jan 17, 2017 at 8:11 PM, Friedman, Eli <efriedma at codeaurora.org> wrote: > On 1/17/2017 7:12 AM, Thomas RUBIANO via llvm-dev wrote: > >> Hi all! >> >> I'm new here, and would like to implement my own Loop Invariant Detection >> adding some more information on Quasi-Invariants. >> >> First, is there anything

...he OpenMP region. This goes against the likes of “map”, “firstprivate”, shared, etc clauses and more. 2) Various loop operations (loop.for, affine.for, fir.do) have (or will have) different transformations/ optimization passes which are different from one another. Example: 1. AffineLoopInvariantCodeMotion.cpp is different from LoopInvariantCodeMotion.cpp. 2. Other Loop transformation passes for affine.for These loops also use different Types and memory access operations in general for transformations. Example, most Affine dialect transformations (if not all) work on affine.load and af...

...ses and more. >> >> >> 2) Various loop operations (loop.for, affine.for, fir.do) have (or will >> have) different transformations/ optimization passes which are different >> from one another. >> >> Example: >> >> 1. >> >> AffineLoopInvariantCodeMotion.cpp is different from >> LoopInvariantCodeMotion.cpp. >> 2. >> >> Other Loop transformation passes for affine.for >> >> >> These loops also use different Types and memory access operations in >> general for transformations. Example, most A...

...ons (loop.for, affine.for, fir.do) have (or will >>>> have) different transformations/ optimization passes which are different >>>> from one another. >>>> >>>> Example: >>>> >>>> 1. >>>> >>>> AffineLoopInvariantCodeMotion.cpp is different from >>>> LoopInvariantCodeMotion.cpp. >>>> 2. >>>> >>>> Other Loop transformation passes for affine.for >>>> >>>> >>>> These loops also use different Types and memory access operations...

Hi, I have few questions / concerns regarding the design of OpenMP dialect in MLIR that is currently being implemented, mainly for the f18 compiler. Below, I summarize the current state of various efforts in clang / f18 / MLIR / LLVM regarding this. Feel free to add to the list in case I have missed something. 1. [May 2019] An OpenMPIRBuilder in LLVM was proposed for flang and clang frontends.