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Isolatedness.cpp
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/*******************************************************************************
* Copyright IBM Corp. and others 2000
*
* This program and the accompanying materials are made available under
* the terms of the Eclipse Public License 2.0 which accompanies this
* distribution and is available at https://www.eclipse.org/legal/epl-2.0/
* or the Apache License, Version 2.0 which accompanies this distribution
* and is available at https://www.apache.org/licenses/LICENSE-2.0.
*
* This Source Code may also be made available under the following Secondary
* Licenses when the conditions for such availability set forth in the
* Eclipse Public License, v. 2.0 are satisfied: GNU General Public License,
* version 2 with the GNU Classpath Exception [1] and GNU General Public
* License, version 2 with the OpenJDK Assembly Exception [2].
*
* [1] https://www.gnu.org/software/classpath/license.html
* [2] https://openjdk.org/legal/assembly-exception.html
*
* SPDX-License-Identifier: EPL-2.0 OR Apache-2.0 OR GPL-2.0-only WITH Classpath-exception-2.0 OR GPL-2.0-only WITH OpenJDK-assembly-exception-1.0
*******************************************************************************/
#include <stddef.h>
#include <stdint.h>
#include "compile/Compilation.hpp"
#include "il/Block.hpp"
#include "il/TreeTop.hpp"
#include "il/TreeTop_inlines.hpp"
#include "infra/BitVector.hpp"
#include "infra/Cfg.hpp"
#include "optimizer/Structure.hpp"
#include "optimizer/DataFlowAnalysis.hpp"
#include "optimizer/LocalAnalysis.hpp"
namespace TR { class Node; }
namespace TR { class Optimizer; }
// #define MAX_BLOCKS_FOR_STACK_ALLOCATION 16
// This file contains an implementation of Isolatedness which
// is the fifth global bit vector analyses used by PRE. Isolatedness
// attempts to avoid redundant copy statements generated sometimes
// as a result of the optimal placewherever possible.
//
//
TR_DataFlowAnalysis::Kind TR_Isolatedness::getKind()
{
return Isolatedness;
}
TR_Isolatedness *TR_Isolatedness::asIsolatedness()
{
return this;
}
int32_t TR_Isolatedness::getNumberOfBits()
{
return _latestness->getNumberOfBits();
}
TR_Isolatedness::TR_Isolatedness(TR::Compilation *comp, TR::Optimizer *optimizer, TR_Structure *rootStructure, bool trace)
: TR_BackwardIntersectionBitVectorAnalysis(comp, comp->getFlowGraph(), optimizer, trace)
{
_latestness = new (comp->allocator()) TR_Latestness(comp, optimizer, rootStructure, trace);
_supportedNodesAsArray = _latestness->_supportedNodesAsArray;
//_temp = NULL;
/*
if (trace())
traceMsg("Starting Isolatedness\n");
performAnalysis(rootStructure, false);
if (trace())
traceMsg("\nEnding Isolatedness\n");
*/
}
bool TR_Isolatedness::postInitializationProcessing()
{
/*
_outSetInfo = (TR_BitVector **)jitStackAlloc(_numberOfNodes*sizeof(TR_BitVector *));
memset(_outSetInfo, 0, _numberOfNodes*sizeof(TR_BitVector *));
for (int32_t i = 0; i<_numberOfNodes; i++)
_outSetInfo[i] = new (trStackMemory()) TR_BitVector(_numberOfBits, stackAlloc, trMemory());
*/
return true;
}
#if 0
// Overrides the implementation in the superclass as this analysis
// is slightly different from conventional bit vector analyses.
// It uses the results from local analyses instead of examining
// each tree top for effects on the input bit vector at that tree top.
// This analysis has a trivial analyzeNode(...) method as a result.
//
//
void TR_Isolatedness::analyzeNode(TR::Node *, uint16_t, TR_BlockStructure *, ContainerType *)
{
}
void TR_Isolatedness::analyzeTreeTopsInBlockStructure(TR_BlockStructure *blockStructure)
{
TR::Block *block = blockStructure->getBlock();
TR::TreeTop *currentTree = block->getExit();
TR::TreeTop *entryTree = block->getEntry();
bool notSeenTreeWithChecks = true;
copyFromInto(_regularInfo, _outSetInfo[blockStructure->getNumber()]);
_containsExceptionTreeTop = false;
while (!(currentTree == entryTree))
{
if (notSeenTreeWithChecks)
{
bool currentTreeHasChecks = treeHasChecks(currentTree);
if (currentTreeHasChecks)
{
notSeenTreeWithChecks = false;
_containsExceptionTreeTop = true;
compose(_regularInfo, _exceptionInfo);
compose(_outSetInfo[blockStructure->getNumber()], _exceptionInfo);
}
}
else
break;
if (!(currentTree == entryTree))
currentTree = currentTree->getPrevTreeTop();
}
// NOTE : Difference1 from Muchnick here
// To account for the fact that expressions that are repeated in the block
// are NOT isolated
//
/////////*_regularInfo -= *(_latestness->_delayedness->_earliestness->_globalAnticipatability->_localTransparency.getRepeatAnalysisInfo(blockStructure->getBlock()->getNumber()));
//
// NOTE : Difference1 from Muchnick over
copyFromInto(_regularInfo, _outSetInfo[blockStructure->getNumber()]);
if (_temp == NULL)
allocateContainer(&_temp);
// NOTE : Difference2 from Muchnick here
// To prevent isolated information of expressions that are not locally
// transparent from flowing up the flow graph and corrupting the flow
// information of blocks higher up in the flow graph
//
// negation.setAll(_numberOfBits);
// negation -= *(_latestness->_delayedness->_earliestness->_globalAnticipatability->_localTransparency._info[blockStructure->getBlock()->getNumber()]._analysisInfo);
// *(_info[blockStructure->getNumber()]._analysisInfo) -= negation;
//
// Second version of the difference
//
*_regularInfo &= *(_latestness->_delayedness->_earliestness->_globalAnticipatability->_localTransparency.getAnalysisInfo(blockStructure->getBlock()->getNumber()));
//
// NOTE : Difference2 from Muchnick over
if (block != comp()->getFlowGraph()->getEnd())
{
_temp->setAll(_numberOfBits);
*_temp -= *(_latestness->_delayedness->_earliestness->_globalAnticipatability->_localAnticipatability.getAnalysisInfo(blockStructure->getBlock()->getNumber()));
if (trace())
_latestness->_delayedness->_earliestness->_globalAnticipatability->_localAnticipatability.getAnalysisInfo(blockStructure->getBlock()->getNumber())->print(comp());
*_regularInfo &= *_temp;
*_regularInfo |= *(_latestness->_inSetInfo[blockStructure->getNumber()]);
if (trace())
{
/////traceMsg("\nIn Set of Block : %d\n", blockStructure->getNumber());
/////_regularInfo->print(comp()->getOutFile());
}
}
}
#endif