Caching of solvers can now be enabled/disabled

Former-commit-id: 498622f45c [formerly 1713f554a0]
Former-commit-id: 1015c7fef8

src/modelchecker/csl/helper/SparseCtmcCslHelper.cpp

@@ -629,6 +629,7 @@ namespace storm {
                 }
                 
                 std::unique_ptr<storm::solver::LinearEquationSolver<ValueType>> solver = linearEquationSolverFactory.create(std::move(uniformizedMatrix));
+                solver->setCachingEnabled(true);
                 
                 if (!useMixedPoissonProbabilities && std::get<0>(foxGlynnResult) > 1) {
                     // Perform the matrix-vector multiplications (without adding).
@@ -735,12 +736,6 @@ namespace storm {
             template storm::storage::SparseMatrix<storm::RationalNumber> SparseCtmcCslHelper::computeProbabilityMatrix(storm::storage::SparseMatrix<storm::RationalNumber> const& rateMatrix, std::vector<storm::RationalNumber> const& exitRates);
             template storm::storage::SparseMatrix<storm::RationalFunction> SparseCtmcCslHelper::computeProbabilityMatrix(storm::storage::SparseMatrix<storm::RationalFunction> const& rateMatrix, std::vector<storm::RationalFunction> const& exitRates);
 
-
-
-
-
-
-
 #endif
         }
     }

src/modelchecker/csl/helper/SparseMarkovAutomatonCslHelper.cpp

@@ -86,6 +86,7 @@ namespace storm {
                 }
                 
                 std::unique_ptr<storm::solver::MinMaxLinearEquationSolver<ValueType>> solver = minMaxLinearEquationSolverFactory.create(aProbabilistic);
+                solver->setCachingEnabled(true);
                 
                 // Perform the actual value iteration
                 // * loop until the step bound has been reached

src/modelchecker/multiobjective/pcaa/SparseMaPcaaWeightVectorChecker.cpp

@@ -307,6 +307,7 @@ namespace storm {
                 result->solver = minMaxSolverFactory.create(PS.toPS);
                 result->solver->setOptimizationDirection(storm::solver::OptimizationDirection::Maximize);
                 result->solver->setTrackScheduler(true);
+                result->solver->setCachingEnabled(true);
                 
                 result->b.resize(PS.getNumberOfChoices());
                 
@@ -365,6 +366,7 @@ namespace storm {
                     storm::storage::SparseMatrix<ValueType> linEqMatrix = PS.toPS.selectRowsFromRowGroups(optimalChoicesAtCurrentEpoch, true);
                     linEqMatrix.convertToEquationSystem();
                     linEq.solver = linEq.factory.create(std::move(linEqMatrix));
+                    linEq.solver->setCachingEnabled(true);
                 }
                 
                 // Get the results for the individual objectives.

src/solver/EigenLinearEquationSolver.cpp

@@ -117,7 +117,7 @@ namespace storm {
         template<typename ValueType>
         void EigenLinearEquationSolver<ValueType>::setMatrix(storm::storage::SparseMatrix<ValueType> const& A) {
             eigenA = storm::adapters::EigenAdapter::toEigenSparseMatrix<ValueType>(A);
-            this->resetAuxiliaryData();
+            this->clearCache();
         }
         
         template<typename ValueType>
@@ -125,7 +125,7 @@ namespace storm {
             // Take ownership of the matrix so it is destroyed after we have translated it to Eigen's format.
             storm::storage::SparseMatrix<ValueType> localA(std::move(A));
             this->setMatrix(localA);
-            this->resetAuxiliaryData();
+            this->clearCache();
         }
         
         template<typename ValueType>

src/solver/EliminationLinearEquationSolver.cpp

@@ -47,14 +47,14 @@ namespace storm {
         void EliminationLinearEquationSolver<ValueType>::setMatrix(storm::storage::SparseMatrix<ValueType> const& A) {
             this->A = &A;
             localA.reset();
-            this->resetAuxiliaryData();
+            this->clearCache();
         }
         
         template<typename ValueType>
         void EliminationLinearEquationSolver<ValueType>::setMatrix(storm::storage::SparseMatrix<ValueType>&& A) {
             localA = std::make_unique<storm::storage::SparseMatrix<ValueType>>(std::move(A));
             this->A = localA.get();
-            this->resetAuxiliaryData();
+            this->clearCache();
         }
         
         template<typename ValueType>

src/solver/GmmxxLinearEquationSolver.cpp

@@ -124,14 +124,14 @@ namespace storm {
         void GmmxxLinearEquationSolver<ValueType>::setMatrix(storm::storage::SparseMatrix<ValueType> const& A) {
             localA.reset();
             this->A = &A;
-            resetAuxiliaryData();
+            clearCache();
         }
         
         template<typename ValueType>
         void GmmxxLinearEquationSolver<ValueType>::setMatrix(storm::storage::SparseMatrix<ValueType>&& A) {
             localA = std::make_unique<storm::storage::SparseMatrix<ValueType>>(std::move(A));
             this->A = localA.get();
-            resetAuxiliaryData();
+            clearCache();
         }
         
         template<typename ValueType>
@@ -187,6 +187,10 @@ namespace storm {
                     }
                 }
                 
+                if(!this->isCachingEnabled()) {
+                    clearCache();
+                }
+                
                 // Check if the solver converged and issue a warning otherwise.
                 if (iter.converged()) {
                     STORM_LOG_INFO("Iterative solver converged after " << iter.get_iteration() << " iterations.");
@@ -221,6 +225,10 @@ namespace storm {
             } else {
                 gmm::mult(*gmmxxA, x, result);
             }
+            
+            if(!this->isCachingEnabled()) {
+                clearCache();
+            }
         }
         
         template<typename ValueType>
@@ -238,10 +246,10 @@ namespace storm {
         
             std::vector<ValueType>* currentX = &x;
             
-            if(!this->auxiliaryRowVector) {
-                this->auxiliaryRowVector = std::make_unique<std::vector<ValueType>>(getMatrixRowCount());
+            if(!this->cachedRowVector) {
+                this->cachedRowVector = std::make_unique<std::vector<ValueType>>(getMatrixRowCount());
             }
-            std::vector<ValueType>* nextX = this->auxiliaryRowVector.get();
+            std::vector<ValueType>* nextX = this->cachedRowVector.get();
             
             // Set up additional environment variables.
             uint_fast64_t iterationCount = 0;
@@ -264,10 +272,14 @@ namespace storm {
             
             // If the last iteration did not write to the original x we have to swap the contents, because the
             // output has to be written to the input parameter x.
-            if (currentX == this->auxiliaryRowVector.get()) {
+            if (currentX == this->cachedRowVector.get()) {
                 std::swap(x, *currentX);
             }
             
+            if(!this->isCachingEnabled()) {
+                clearCache();
+            }
+            
             return iterationCount;
         }
         
@@ -282,12 +294,12 @@ namespace storm {
         }
         
         template<typename ValueType>
-        void GmmxxLinearEquationSolver<ValueType>::resetAuxiliaryData() const {
+        void GmmxxLinearEquationSolver<ValueType>::clearCache() const {
             gmmxxA.reset();
             iluPreconditioner.reset();
             diagonalPreconditioner.reset();
             jacobiDecomposition.reset();
-            LinearEquationSolver<ValueType>::resetAuxiliaryData();
+            LinearEquationSolver<ValueType>::clearCache();
         }
         
         template<typename ValueType>

src/solver/GmmxxLinearEquationSolver.h

@@ -98,11 +98,8 @@ namespace storm {
             void setSettings(GmmxxLinearEquationSolverSettings<ValueType> const& newSettings);
             GmmxxLinearEquationSolverSettings<ValueType> const& getSettings() const;
 
-            /*
-             * Clears auxiliary data that has possibly been stored during previous calls of the solver.
-             */
-            virtual void resetAuxiliaryData() const override;
 
+            virtual void clearCache() const override;
 
         private:
             /*!
@@ -130,7 +127,7 @@ namespace storm {
             // The settings used by the solver.
             GmmxxLinearEquationSolverSettings<ValueType> settings;
             
-            // Auxiliary data obtained during solving
+            // cached data obtained during solving
             mutable std::unique_ptr<gmm::csr_matrix<ValueType>> gmmxxA;
             mutable std::unique_ptr<gmm::ilu_precond<gmm::csr_matrix<ValueType>>> iluPreconditioner;
             mutable std::unique_ptr<gmm::diagonal_precond<gmm::csr_matrix<ValueType>>> diagonalPreconditioner;

src/solver/LinearEquationSolver.cpp

@@ -14,21 +14,26 @@ namespace storm {
     namespace solver {
         
         template<typename ValueType>
-        LinearEquationSolver<ValueType>::LinearEquationSolver() {
+        LinearEquationSolver<ValueType>::LinearEquationSolver() : cachingEnabled(false) {
             // Intentionally left empty.
         }
         
         template<typename ValueType>
         void LinearEquationSolver<ValueType>::repeatedMultiply(std::vector<ValueType>& x, std::vector<ValueType> const* b, uint_fast64_t n) const {
             
-            if(!auxiliaryRowVector) {
-                auxiliaryRowVector = std::make_unique<std::vector<ValueType>>(getMatrixRowCount());
+            if(!cachedRowVector) {
+                cachedRowVector = std::make_unique<std::vector<ValueType>>(getMatrixRowCount());
             }
             
+            // We enable caching for this. But remember how the old setting was
+            bool cachingWasEnabled = isCachingEnabled();
+            setCachingEnabled(true);
+            
             // Set up some temporary variables so that we can just swap pointers instead of copying the result after
             // each iteration.
             std::vector<ValueType>* currentX = &x;
-            std::vector<ValueType>* nextX = auxiliaryRowVector.get();
+            std::vector<ValueType>* nextX = cachedRowVector.get();
+            
             
             // Now perform matrix-vector multiplication as long as we meet the bound.
             for (uint_fast64_t i = 0; i < n; ++i) {
@@ -38,16 +43,37 @@ namespace storm {
             
             // If we performed an odd number of repetitions, we need to swap the contents of currentVector and x,
             // because the output is supposed to be stored in the input vector x.
-            if (currentX == auxiliaryRowVector.get()) {
+            if (currentX == cachedRowVector.get()) {
                 std::swap(x, *currentX);
             }
+            
+            // restore the old caching setting
+            setCachingEnabled(cachingWasEnabled);
+            
+            if(!isCachingEnabled()) {
+                clearCache();
+            }
         }
         
         template<typename ValueType>
-        void LinearEquationSolver<ValueType>::resetAuxiliaryData() const {
-            auxiliaryRowVector.reset();
+        void LinearEquationSolver<ValueType>::setCachingEnabled(bool value) const {
+            if(cachingEnabled && !value) {
+                // caching will be turned off. Hence we clear the cache at this point
+                clearCache();
+            }
+            cachingEnabled = value;
         }
-      
+        
+        template<typename ValueType>
+        bool LinearEquationSolver<ValueType>::isCachingEnabled() const {
+            return cachingEnabled;
+        }
+        
+        template<typename ValueType>
+        void LinearEquationSolver<ValueType>::clearCache() const {
+            cachedRowVector.reset();
+        }
+        
         template<typename ValueType>
         std::unique_ptr<LinearEquationSolver<ValueType>> LinearEquationSolverFactory<ValueType>::create(storm::storage::SparseMatrix<ValueType>&& matrix) const {
             return create(matrix);

src/solver/LinearEquationSolver.h

@@ -67,15 +67,26 @@ namespace storm {
              * @param n The number of times to perform the multiplication.
              */
             void repeatedMultiply(std::vector<ValueType>& x, std::vector<ValueType> const* b, uint_fast64_t n) const;
-
+            
+            /*!
+             * Sets whether some of the generated data during solver calls should be cached.
+             * This possibly decreases the runtime of subsequent calls but also increases memory consumption.
+             */
+            void setCachingEnabled(bool value) const;
+            
+            /*!
+             * Retrieves whether some of the generated data during solver calls should be cached.
+             */
+            bool isCachingEnabled() const;
+            
             /*
-             * Clears auxiliary data that has possibly been stored during previous calls of the solver.
+             * Clears the currently cached data that has been stored during previous calls of the solver.
              */
-            virtual void resetAuxiliaryData() const;
+            virtual void clearCache() const;
 
         protected:
             // auxiliary storage. If set, this vector has getMatrixRowCount() entries.
-            mutable std::unique_ptr<std::vector<ValueType>> auxiliaryRowVector;
+            mutable std::unique_ptr<std::vector<ValueType>> cachedRowVector;
           
         private:
             /*!
@@ -87,6 +98,9 @@ namespace storm {
              * Retrieves the column count of the matrix associated with this solver.
              */
             virtual uint64_t getMatrixColumnCount() const = 0;
+            
+            /// Whether some of the generated data during solver calls should be cached.
+            mutable bool cachingEnabled;
 
         };
         

src/solver/MinMaxLinearEquationSolver.cpp

@@ -18,7 +18,7 @@ namespace storm {
     namespace solver {
         
         template<typename ValueType>
-        MinMaxLinearEquationSolver<ValueType>::MinMaxLinearEquationSolver(OptimizationDirectionSetting direction) : direction(direction), trackScheduler(false) {
+        MinMaxLinearEquationSolver<ValueType>::MinMaxLinearEquationSolver(OptimizationDirectionSetting direction) : direction(direction), trackScheduler(false), cachingEnabled(false) {
             // Intentionally left empty.
         }
         
@@ -80,7 +80,21 @@ namespace storm {
         }
         
         template<typename ValueType>
-        void MinMaxLinearEquationSolver<ValueType>::resetAuxiliaryData() const {
+        void MinMaxLinearEquationSolver<ValueType>::setCachingEnabled(bool value) {
+            if(cachingEnabled && !value) {
+                // caching will be turned off. Hence we clear the cache at this point
+                clearCache();
+            }
+            cachingEnabled = value;
+        }
+        
+        template<typename ValueType>
+        bool MinMaxLinearEquationSolver<ValueType>::isCachingEnabled() const {
+            return cachingEnabled;
+        }
+        
+        template<typename ValueType>
+        void MinMaxLinearEquationSolver<ValueType>::clearCache() const {
             // Intentionally left empty.
         }
         

src/solver/MinMaxLinearEquationSolver.h

@@ -128,11 +128,22 @@ namespace storm {
              *  Gets whether the precision is taken to be absolute or relative
              */
             virtual bool getRelative() const = 0;
+            
+            /*!
+             * Sets whether some of the generated data during solver calls should be cached.
+             * This possibly decreases the runtime of subsequent calls but also increases memory consumption.
+             */
+            void setCachingEnabled(bool value);
+            
+            /*!
+             * Retrieves whether some of the generated data during solver calls should be cached.
+             */
+            bool isCachingEnabled() const;
 
             /*
-             * Clears auxiliary data that has possibly been stored during previous calls of the solver.
+             * Clears the currently cached data that has been stored during previous calls of the solver.
              */
-            virtual void resetAuxiliaryData() const;
+            virtual void clearCache() const;
 
 
         protected:
@@ -144,6 +155,11 @@ namespace storm {
 
             /// The scheduler (if it could be successfully generated).
             mutable boost::optional<std::unique_ptr<storm::storage::TotalScheduler>> scheduler;
+            
+        private:
+            /// Whether some of the generated data during solver calls should be cached.
+            bool cachingEnabled;
+            
         };
 
         template<typename ValueType>

src/solver/NativeLinearEquationSolver.cpp

@@ -97,21 +97,21 @@ namespace storm {
         void NativeLinearEquationSolver<ValueType>::setMatrix(storm::storage::SparseMatrix<ValueType> const& A) {
             localA.reset();
             this->A = &A;
-            resetAuxiliaryData();
+            clearCache();
         }
 
         template<typename ValueType>
         void NativeLinearEquationSolver<ValueType>::setMatrix(storm::storage::SparseMatrix<ValueType>&& A) {
             localA = std::make_unique<storm::storage::SparseMatrix<ValueType>>(std::move(A));
             this->A = localA.get();
-            resetAuxiliaryData();
+            clearCache();
         }
 
         
         template<typename ValueType>
         bool NativeLinearEquationSolver<ValueType>::solveEquations(std::vector<ValueType>& x, std::vector<ValueType> const& b) const {
-            if(!this->auxiliaryRowVector) {
-                this->auxiliaryRowVector = std::make_unique<std::vector<ValueType>>(getMatrixRowCount());
+            if(!this->cachedRowVector) {
+                this->cachedRowVector = std::make_unique<std::vector<ValueType>>(getMatrixRowCount());
             }
             
             if (this->getSettings().getSolutionMethod() == NativeLinearEquationSolverSettings<ValueType>::SolutionMethod::SOR || this->getSettings().getSolutionMethod() == NativeLinearEquationSolverSettings<ValueType>::SolutionMethod::GaussSeidel) {
@@ -126,16 +126,20 @@ namespace storm {
                     A->performSuccessiveOverRelaxationStep(omega, x, b);
                     
                     // Now check if the process already converged within our precision.
-                    converged = storm::utility::vector::equalModuloPrecision<ValueType>(*this->auxiliaryRowVector, x, static_cast<ValueType>(this->getSettings().getPrecision()), this->getSettings().getRelativeTerminationCriterion()) || (this->hasCustomTerminationCondition() && this->getTerminationCondition().terminateNow(x));
+                    converged = storm::utility::vector::equalModuloPrecision<ValueType>(*this->cachedRowVector, x, static_cast<ValueType>(this->getSettings().getPrecision()), this->getSettings().getRelativeTerminationCriterion()) || (this->hasCustomTerminationCondition() && this->getTerminationCondition().terminateNow(x));
                     
                     // If we did not yet converge, we need to backup the contents of x.
                     if (!converged) {
-                        *this->auxiliaryRowVector = x;
+                        *this->cachedRowVector = x;
                     }
                     
                     // Increase iteration count so we can abort if convergence is too slow.
                     ++iterationCount;
                 }
+                
+                if(!this->isCachingEnabled()) {
+                    clearCache();
+                }
 
                 return converged;
                 
@@ -148,7 +152,7 @@ namespace storm {
                 std::vector<ValueType> const& jacobiD = jacobiDecomposition->second;
                 
                 std::vector<ValueType>* currentX = &x;
-                std::vector<ValueType>* nextX = this->auxiliaryRowVector.get();
+                std::vector<ValueType>* nextX = this->cachedRowVector.get();
                 
                 // Set up additional environment variables.
                 uint_fast64_t iterationCount = 0;
@@ -172,10 +176,14 @@ namespace storm {
                                 
                 // If the last iteration did not write to the original x we have to swap the contents, because the
                 // output has to be written to the input parameter x.
-                if (currentX == this->auxiliaryRowVector.get()) {
+                if (currentX == this->cachedRowVector.get()) {
                     std::swap(x, *currentX);
                 }
                 
+                if(!this->isCachingEnabled()) {
+                    clearCache();
+                }
+                
                 return iterationCount < this->getSettings().getMaximalNumberOfIterations();
             }
         }
@@ -189,14 +197,19 @@ namespace storm {
                 }
             } else {
                 // If the two vectors are aliases, we need to create a temporary.
-                if(!this->auxiliaryRowVector) {
-                    this->auxiliaryRowVector = std::make_unique<std::vector<ValueType>>(getMatrixRowCount());
+                if(!this->cachedRowVector) {
+                    this->cachedRowVector = std::make_unique<std::vector<ValueType>>(getMatrixRowCount());
                 }
-                A->multiplyWithVector(x, *this->auxiliaryRowVector);
+                
+                A->multiplyWithVector(x, *this->cachedRowVector);
                 if (b != nullptr) {
-                    storm::utility::vector::addVectors(*this->auxiliaryRowVector, *b, result);
+                    storm::utility::vector::addVectors(*this->cachedRowVector, *b, result);
                 } else {
-                    result.swap(*this->auxiliaryRowVector);
+                    result.swap(*this->cachedRowVector);
+                }
+                
+                if(!this->isCachingEnabled()) {
+                    clearCache();
                 }
             }
         }
@@ -212,9 +225,9 @@ namespace storm {
         }
         
         template<typename ValueType>
-        void NativeLinearEquationSolver<ValueType>::resetAuxiliaryData() const {
+        void NativeLinearEquationSolver<ValueType>::clearCache() const {
             jacobiDecomposition.reset();
-            LinearEquationSolver<ValueType>::resetAuxiliaryData();
+            LinearEquationSolver<ValueType>::clearCache();
         }
         
         template<typename ValueType>

src/solver/NativeLinearEquationSolver.h

@@ -55,10 +55,7 @@ namespace storm {
             void setSettings(NativeLinearEquationSolverSettings<ValueType> const& newSettings);
             NativeLinearEquationSolverSettings<ValueType> const& getSettings() const;
 
-            /*
-             * Clears auxiliary data that has possibly been stored during previous calls of the solver.
-             */
-            virtual void resetAuxiliaryData() const override;
+            virtual void clearCache() const override;
 
         private:
             virtual uint64_t getMatrixRowCount() const override;
@@ -75,6 +72,7 @@ namespace storm {
             // The settings used by the solver.
             NativeLinearEquationSolverSettings<ValueType> settings;
             
+            // cached auxiliary data
             mutable std::unique_ptr<std::pair<storm::storage::SparseMatrix<ValueType>, std::vector<ValueType>>> jacobiDecomposition;
         };
         

src/solver/StandardMinMaxLinearEquationSolver.cpp

@@ -111,6 +111,7 @@ namespace storm {
 
             // Create a solver that we will use throughout the procedure. We will modify the matrix in each iteration.
             auto solver = linearEquationSolverFactory->create(std::move(submatrix));
+            solver->setCachingEnabled(true);
             
             Status status = Status::InProgress;
             uint64_t iterations = 0;
@@ -170,6 +171,10 @@ namespace storm {
                 this->scheduler = std::make_unique<storm::storage::TotalScheduler>(std::move(scheduler));
             }
             
+            if(!this->isCachingEnabled()) {
+                clearCache();
+            }
+            
             if(status == Status::Converged || status == Status::TerminatedEarly) {
                 return true;
             } else{
@@ -206,6 +211,7 @@ namespace storm {
         bool StandardMinMaxLinearEquationSolver<ValueType>::solveEquationsValueIteration(OptimizationDirection dir, std::vector<ValueType>& x, std::vector<ValueType> const& b) const {
             if(!linEqSolverA) {
                 linEqSolverA = linearEquationSolverFactory->create(A);
+                linEqSolverA->setCachingEnabled(true);
             }
             
             if (!auxiliaryRowVector.get()) {
@@ -263,6 +269,10 @@ namespace storm {
                 this->scheduler = std::make_unique<storm::storage::TotalScheduler>(std::move(choices));
             }
 
+            if(!this->isCachingEnabled()) {
+                clearCache();
+            }
+            
             if(status == Status::Converged || status == Status::TerminatedEarly) {
                 return true;
             } else{
@@ -274,6 +284,7 @@ namespace storm {
         void StandardMinMaxLinearEquationSolver<ValueType>::repeatedMultiply(OptimizationDirection dir, std::vector<ValueType>& x, std::vector<ValueType>* b, uint_fast64_t n) const {
             if(!linEqSolverA) {
                 linEqSolverA = linearEquationSolverFactory->create(A);
+                linEqSolverA->setCachingEnabled(true);
             }
             
             if (!auxiliaryRowVector.get()) {
@@ -288,6 +299,10 @@ namespace storm {
                 // element of the min/max operator stack.
                 storm::utility::vector::reduceVectorMinOrMax(dir, multiplyResult, x, this->A.getRowGroupIndices());
             }
+            
+            if(!this->isCachingEnabled()) {
+                clearCache();
+            }
         }
         
         template<typename ValueType>
@@ -324,11 +339,11 @@ namespace storm {
         }
         
         template<typename ValueType>
-        void StandardMinMaxLinearEquationSolver<ValueType>::resetAuxiliaryData() const {
+        void StandardMinMaxLinearEquationSolver<ValueType>::clearCache() const {
             linEqSolverA.reset();
             auxiliaryRowVector.reset();
             auxiliaryRowGroupVector.reset();
-            MinMaxLinearEquationSolver<ValueType>::resetAuxiliaryData();
+            MinMaxLinearEquationSolver<ValueType>::clearCache();
         }
 
         template<typename ValueType>

src/solver/StandardMinMaxLinearEquationSolver.h

@@ -44,7 +44,7 @@ namespace storm {
             StandardMinMaxLinearEquationSolverSettings<ValueType> const& getSettings() const;
             void setSettings(StandardMinMaxLinearEquationSolverSettings<ValueType> const& newSettings);
             
-            virtual void resetAuxiliaryData() const override;
+            virtual void clearCache() const override;
 
             virtual ValueType getPrecision() const override;
             virtual bool getRelative() const override;
@@ -58,6 +58,7 @@ namespace storm {
                 Converged, TerminatedEarly, MaximalIterationsExceeded, InProgress
             };
             
+            // possibly cached data
             mutable std::unique_ptr<storm::solver::LinearEquationSolver<ValueType>> linEqSolverA;
             mutable std::unique_ptr<std::vector<ValueType>> auxiliaryRowVector; // A.rowCount() entries
             mutable std::unique_ptr<std::vector<ValueType>> auxiliaryRowGroupVector; // A.rowGroupCount() entries

src/utility/policyguessing.cpp

@@ -68,6 +68,7 @@ namespace storm {
                 solveLinearEquationSystem(inducedA, x, inducedB, probGreater0States, prob0Value, solver.getPrecision(), solver.getRelative());
                 
                 solver.setTrackScheduler();
+                solver.setCachingEnabled(true);
                 bool resultCorrect = false;
                 while(!resultCorrect){
                     solver.solveEquations(goal, x, b);
@@ -171,6 +172,7 @@ namespace storm {
                 storm::utility::vector::selectVectorValues(subB, probGreater0States, b);
 
                 std::unique_ptr<storm::solver::GmmxxLinearEquationSolver<ValueType>> linEqSysSolver(static_cast<storm::solver::GmmxxLinearEquationSolver<ValueType>*>(storm::solver::GmmxxLinearEquationSolverFactory<ValueType>().create(eqSysA).release()));
+                linEqSysSolver->setCachingEnabled(true);
                 auto eqSettings = linEqSysSolver->getSettings();
                 eqSettings.setRelativeTerminationCriterion(relative);
                 eqSettings.setMaximalNumberOfIterations(500);