darling-JavaScriptCore/dfg/DFGSSACalculator.h
2020-08-29 15:28:47 -04:00

260 lines
11 KiB
C++

/*
* Copyright (C) 2014 Apple Inc. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY APPLE INC. ``AS IS'' AND ANY
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL APPLE INC. OR
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#pragma once
#if ENABLE(DFG_JIT)
#include "DFGDominators.h"
#include "DFGGraph.h"
namespace JSC { namespace DFG {
// SSACalculator provides a reusable tool for using the Cytron, Ferrante, Rosen, Wegman, and
// Zadeck "Efficiently Computing Static Single Assignment Form and the Control Dependence Graph"
// (TOPLAS'91) algorithm for computing SSA. SSACalculator doesn't magically do everything for you
// but it maintains the major data structures and handles most of the non-local reasoning. Here's
// the workflow of using SSACalculator to execute this algorithm:
//
// 0) Create a fresh SSACalculator instance. You will need this instance only for as long as
// you're not yet done computing SSA.
//
// 1) Create an SSACalculator::Variable for every variable that you want to do Phi insertion
// on. SSACalculator::Variable::index() is a dense indexing of the Variables that you
// created, so you can easily use a Vector to map the SSACalculator::Variables to your
// variables.
//
// 2) Create a SSACalculator::Def for every assignment to those variables. A Def knows about the
// variable, the block, and the DFG::Node* that has the value being put into the variable.
// Note that creating a Def in block B for variable V if block B already has a def for variable
// V will overwrite the previous Def's DFG::Node* value. This enables you to create Defs by
// processing basic blocks in forward order. If a block has multiple Defs of a variable, this
// "just works" because each block will then remember the last Def of each variable.
//
// 3) Call SSACalculator::computePhis(). This takes a functor that will create the Phi nodes. The
// functor returns either the Phi node it created, or nullptr, if it chooses to prune. (As an
// aside, it's always sound not to prune, and the safest reason for pruning is liveness.) The
// computePhis() code will record the created Phi nodes as Defs, and it will separately record
// the list of Phis inserted at each block. It's OK for the functor you pass here to modify the
// DFG::Graph on the fly, but the easiest way to write this is to just create the Phi nodes by
// doing Graph::addNode() and return them. It's then best to insert all Phi nodes for a block
// in bulk as part of the pass you do below, in step (4).
//
// 4) Modify the graph to create the SSA data flow. For each block, this should:
//
// 4.0) Compute the set of reaching defs (aka available values) for each variable by calling
// SSACalculator::reachingDefAtHead() for each variable. Record this in a local table that
// will be incrementally updated as you proceed through the block in forward order in the
// next steps:
//
// FIXME: It might be better to compute reaching defs for all live variables in one go, to
// avoid doing repeated dom tree traversals.
// https://bugs.webkit.org/show_bug.cgi?id=136610
//
// 4.1) Insert all of the Phi nodes for the block by using SSACalculator::phisForBlock(), and
// record those Phi nodes as being available values.
//
// 4.2) Process the block in forward order. For each load from a variable, replace it with the
// available SSA value for that variable. For each store, delete it and record the stored
// value as being available.
//
// Note that you have two options of how to replace loads with SSA values. You can replace
// the load with an Identity node; this will end up working fairly naturally so long as
// you run GCSE after your phase. Or, you can replace all uses of the load with the SSA
// value yourself (using the Graph::performSubstitution() idiom), but that requires that
// your loop over basic blocks proceeds in the appropriate graph order, for example
// preorder.
//
// FIXME: Make it easier to do this, that doesn't involve rerunning GCSE.
// https://bugs.webkit.org/show_bug.cgi?id=136639
//
// 4.3) Insert Upsilons at the end of the current block for the corresponding Phis in each successor block.
// Use the available values table to decide the source value for each Phi's variable. Note that
// you could also use SSACalculator::reachingDefAtTail() instead of the available values table,
// though your local available values table is likely to be more efficient.
//
// The most obvious use of SSACalculator is for the CPS->SSA conversion itself, but it's meant to
// also be used for SSA update and for things like the promotion of heap fields to local SSA
// variables.
class SSACalculator {
public:
SSACalculator(Graph&);
~SSACalculator();
void reset();
class Variable {
public:
unsigned index() const { return m_index; }
void dump(PrintStream&) const;
void dumpVerbose(PrintStream&) const;
private:
friend class SSACalculator;
Variable()
: m_index(UINT_MAX)
{
}
Variable(unsigned index)
: m_index(index)
{
}
BlockList m_blocksWithDefs;
unsigned m_index;
};
class Def {
public:
Variable* variable() const { return m_variable; }
BasicBlock* block() const { return m_block; }
Node* value() const { return m_value; }
void dump(PrintStream&) const;
private:
friend class SSACalculator;
Def()
: m_variable(nullptr)
, m_block(nullptr)
, m_value(nullptr)
{
}
Def(Variable* variable, BasicBlock* block, Node* value)
: m_variable(variable)
, m_block(block)
, m_value(value)
{
}
Variable* m_variable;
BasicBlock* m_block;
Node* m_value;
};
Variable* newVariable();
Def* newDef(Variable*, BasicBlock*, Node*);
Variable* variable(unsigned index) { return &m_variables[index]; }
// The PhiInsertionFunctor takes a Variable and a BasicBlock and either inserts a Phi and
// returns the Node for that Phi, or it decides that it's not worth it to insert a Phi at that
// block because of some additional pruning condition (typically liveness) and returns
// nullptr. If a non-null Node* is returned, a new Def is created, so that
// nonLocalReachingDef() will find it later. Note that it is generally always sound to not
// prune any Phis (that is, to always have the functor insert a Phi and never return nullptr).
template<typename PhiInsertionFunctor>
void computePhis(const PhiInsertionFunctor& functor)
{
DFG_ASSERT(m_graph, nullptr, m_graph.m_ssaDominators);
for (Variable& variable : m_variables) {
m_graph.m_ssaDominators->forAllBlocksInPrunedIteratedDominanceFrontierOf(
variable.m_blocksWithDefs,
[&] (BasicBlock* block) -> bool {
Node* phiNode = functor(&variable, block);
if (!phiNode)
return false;
BlockData& data = m_data[block];
Def* phiDef = m_phis.add(Def(&variable, block, phiNode));
data.m_phis.append(phiDef);
// Note that it's possible to have a block that looks like this before SSA
// conversion:
//
// label:
// print(x);
// ...
// x = 42;
// goto label;
//
// And it may look like this after SSA conversion:
//
// label:
// x1: Phi()
// ...
// Upsilon(42, ^x1)
// goto label;
//
// In this case, we will want to insert a Phi in this block, and the block
// will already have a Def for the variable. When this happens, we don't want
// the Phi to override the original Def, since the Phi is at the top, the
// original Def in the m_defs table would have been at the bottom, and we want
// m_defs to tell us about defs at tail.
//
// So, we rely on the fact that HashMap::add() does nothing if the key was
// already present.
data.m_defs.add(&variable, phiDef);
return true;
});
}
}
const Vector<Def*>& phisForBlock(BasicBlock* block)
{
return m_data[block].m_phis;
}
// Ignores defs within the given block; it assumes that you've taken care of those
// yourself.
Def* nonLocalReachingDef(BasicBlock*, Variable*);
Def* reachingDefAtHead(BasicBlock* block, Variable* variable)
{
return nonLocalReachingDef(block, variable);
}
// Considers the def within the given block, but only works at the tail of the block.
Def* reachingDefAtTail(BasicBlock*, Variable*);
void dump(PrintStream&) const;
private:
SegmentedVector<Variable> m_variables;
Bag<Def> m_defs;
Bag<Def> m_phis;
struct BlockData {
HashMap<Variable*, Def*> m_defs;
Vector<Def*> m_phis;
};
BlockMap<BlockData> m_data;
Graph& m_graph;
};
} } // namespace JSC::DFG
#endif // ENABLE(DFG_JIT)