// Copyright (c) 2018 Google LLC. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #ifndef SOURCE_OPT_LOOP_DEPENDENCE_H_ #define SOURCE_OPT_LOOP_DEPENDENCE_H_ #include <algorithm> #include <cstdint> #include <list> #include <map> #include <memory> #include <ostream> #include <set> #include <string> #include <utility> #include <vector> #include "source/opt/instruction.h" #include "source/opt/ir_context.h" #include "source/opt/loop_descriptor.h" #include "source/opt/scalar_analysis.h" namespace spvtools { namespace opt { // Stores information about dependence between a load and a store wrt a single // loop in a loop nest. // DependenceInformation // * UNKNOWN if no dependence information can be gathered or is gathered // for it. // * DIRECTION if a dependence direction could be found, but not a // distance. // * DISTANCE if a dependence distance could be found. // * PEEL if peeling either the first or last iteration will break // dependence between the given load and store. // * IRRELEVANT if it has no effect on the dependence between the given // load and store. // // If peel_first == true, the analysis has found that peeling the first // iteration of this loop will break dependence. // // If peel_last == true, the analysis has found that peeling the last iteration // of this loop will break dependence. class DistanceEntry { … }; // Stores a vector of DistanceEntrys, one per loop in the analysis. // A DistanceVector holds all of the information gathered in a dependence // analysis wrt the loops stored in the LoopDependenceAnalysis performing the // analysis. class DistanceVector { … }; class DependenceLine; class DependenceDistance; class DependencePoint; class DependenceNone; class DependenceEmpty; class Constraint { … }; // clang-format on class DependenceLine : public Constraint { … }; class DependenceDistance : public Constraint { … }; class DependencePoint : public Constraint { … }; class DependenceNone : public Constraint { … }; class DependenceEmpty : public Constraint { … }; // Provides dependence information between a store instruction and a load // instruction inside the same loop in a loop nest. // // The analysis can only check dependence between stores and loads with regard // to the loop nest it is created with. // // The analysis can output debugging information to a stream. The output // describes the control flow of the analysis and what information it can deduce // at each step. // SetDebugStream and ClearDebugStream are provided for this functionality. // // The dependency algorithm is based on the 1990 Paper // Practical Dependence Testing // Gina Goff, Ken Kennedy, Chau-Wen Tseng // // The algorithm first identifies subscript pairs between the load and store. // Each pair is tested until all have been tested or independence is found. // The number of induction variables in a pair determines which test to perform // on it; // Zero Index Variable (ZIV) is used when no induction variables are present // in the pair. // Single Index Variable (SIV) is used when only one induction variable is // present, but may occur multiple times in the pair. // Multiple Index Variable (MIV) is used when more than one induction variable // is present in the pair. class LoopDependenceAnalysis { … }; } // namespace opt } // namespace spvtools #endif // SOURCE_OPT_LOOP_DEPENDENCE_H_