2015-01-31 19:17:59 +08:00
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//===-- NVPTXTargetTransformInfo.h - NVPTX specific TTI ---------*- C++ -*-===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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/// \file
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/// This file a TargetTransformInfo::Concept conforming object specific to the
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/// NVPTX target machine. It uses the target's detailed information to
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/// provide more precise answers to certain TTI queries, while letting the
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/// target independent and default TTI implementations handle the rest.
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///
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//===----------------------------------------------------------------------===//
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#ifndef LLVM_LIB_TARGET_NVPTX_NVPTXTARGETTRANSFORMINFO_H
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#define LLVM_LIB_TARGET_NVPTX_NVPTXTARGETTRANSFORMINFO_H
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#include "NVPTX.h"
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#include "NVPTXTargetMachine.h"
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#include "llvm/Analysis/TargetTransformInfo.h"
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#include "llvm/CodeGen/BasicTTIImpl.h"
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#include "llvm/Target/TargetLowering.h"
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namespace llvm {
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class NVPTXTTIImpl : public BasicTTIImplBase<NVPTXTTIImpl> {
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typedef BasicTTIImplBase<NVPTXTTIImpl> BaseT;
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typedef TargetTransformInfo TTI;
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2015-02-01 22:01:15 +08:00
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friend BaseT;
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2015-01-31 19:17:59 +08:00
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2015-02-01 22:22:17 +08:00
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const NVPTXSubtarget *ST;
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2015-01-31 19:17:59 +08:00
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const NVPTXTargetLowering *TLI;
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2015-02-01 22:22:17 +08:00
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const NVPTXSubtarget *getST() const { return ST; };
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2015-02-01 22:01:15 +08:00
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const NVPTXTargetLowering *getTLI() const { return TLI; };
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2015-01-31 19:17:59 +08:00
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public:
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explicit NVPTXTTIImpl(const NVPTXTargetMachine *TM, const Function &F)
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: BaseT(TM, F.getParent()->getDataLayout()), ST(TM->getSubtargetImpl()),
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TLI(ST->getTargetLowering()) {}
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2015-01-31 19:17:59 +08:00
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// Provide value semantics. MSVC requires that we spell all of these out.
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NVPTXTTIImpl(const NVPTXTTIImpl &Arg)
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: BaseT(static_cast<const BaseT &>(Arg)), ST(Arg.ST), TLI(Arg.TLI) {}
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NVPTXTTIImpl(NVPTXTTIImpl &&Arg)
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: BaseT(std::move(static_cast<BaseT &>(Arg))), ST(std::move(Arg.ST)),
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TLI(std::move(Arg.TLI)) {}
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2015-01-31 19:17:59 +08:00
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bool hasBranchDivergence() { return true; }
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Divergence analysis for GPU programs
Summary:
Some optimizations such as jump threading and loop unswitching can negatively
affect performance when applied to divergent branches. The divergence analysis
added in this patch conservatively estimates which branches in a GPU program
can diverge. This information can then help LLVM to run certain optimizations
selectively.
Test Plan: test/Analysis/DivergenceAnalysis/NVPTX/diverge.ll
Reviewers: resistor, hfinkel, eliben, meheff, jholewinski
Subscribers: broune, bjarke.roune, madhur13490, tstellarAMD, dberlin, echristo, jholewinski, llvm-commits
Differential Revision: http://reviews.llvm.org/D8576
llvm-svn: 234567
2015-04-10 13:03:50 +08:00
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bool isSourceOfDivergence(const Value *V);
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2016-04-15 09:38:50 +08:00
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// Increase the inlining cost threshold by a factor of 5, reflecting that
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// calls are particularly expensive in NVPTX.
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unsigned getInliningThresholdMultiplier() { return 5; }
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2015-08-06 02:08:10 +08:00
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int getArithmeticInstrCost(
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2015-01-31 19:17:59 +08:00
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unsigned Opcode, Type *Ty,
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TTI::OperandValueKind Opd1Info = TTI::OK_AnyValue,
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TTI::OperandValueKind Opd2Info = TTI::OK_AnyValue,
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TTI::OperandValueProperties Opd1PropInfo = TTI::OP_None,
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TTI::OperandValueProperties Opd2PropInfo = TTI::OP_None);
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2015-07-14 02:33:21 +08:00
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void getUnrollingPreferences(Loop *L, TTI::UnrollingPreferences &UP);
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2015-01-31 19:17:59 +08:00
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};
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} // end namespace llvm
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#endif
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