diff --git a/src/TNL/Devices/Cuda.cpp b/src/TNL/Devices/Cuda.cpp
index ef868455784575e3304ac4ad2416e6b856f38ce5..11301ef8687534f30202526bdfd59a06d142f530 100644
--- a/src/TNL/Devices/Cuda.cpp
+++ b/src/TNL/Devices/Cuda.cpp
@@ -19,6 +19,7 @@ namespace TNL {
namespace Devices {
SmartPointersRegister Cuda::smartPointersRegister;
+Timer Cuda::smartPointersSynchronizationTimer;
String Cuda::getDeviceType()
{
@@ -67,6 +68,8 @@ bool Cuda::setup( const Config::ParameterContainer& parameters,
std::cerr << "I cannot activate CUDA device number " << cudaDevice << "." << std::endl;
return false;
}
+ smartPointersSynchronizationTimer.reset();
+ smartPointersSynchronizationTimer.stop();
#endif
return true;
}
@@ -85,7 +88,10 @@ bool Cuda::synchronizeDevice( int deviceId )
{
if( deviceId < 0 )
deviceId = Devices::CudaDeviceInfo::getActiveDevice();
- return smartPointersRegister.synchronizeDevice( deviceId );
+ smartPointersSynchronizationTimer.start();
+ bool b = smartPointersRegister.synchronizeDevice( deviceId );
+ smartPointersSynchronizationTimer.stop();
+ return b;
}
} // namespace Devices
diff --git a/src/TNL/Devices/Cuda.h b/src/TNL/Devices/Cuda.h
index 301b0091634e412522a52539563b2a8c0e6b122c..dc3923f4af70ebbf4161b8542d08b2308b5fcf4f 100644
--- a/src/TNL/Devices/Cuda.h
+++ b/src/TNL/Devices/Cuda.h
@@ -15,6 +15,7 @@
#include <TNL/String.h>
#include <TNL/Assert.h>
#include <TNL/SmartPointersRegister.h>
+#include <TNL/Timer.h>
namespace TNL {
@@ -31,7 +32,6 @@ namespace Devices {
#define __cuda_callable__
#endif
-
class Cuda
{
public:
@@ -108,10 +108,13 @@ class Cuda
// called to get the device ID.
static bool synchronizeDevice( int deviceId = -1 );
+ static Timer smartPointersSynchronizationTimer;
+
protected:
static SmartPointersRegister smartPointersRegister;
-
+
+
};
#ifdef HAVE_CUDA
diff --git a/src/TNL/Operators/diffusion/LinearDiffusion_impl.h b/src/TNL/Operators/diffusion/LinearDiffusion_impl.h
index c20e8fa39ffe917ab69511a63894b50f13aac744..84df79b9fb672432c71fad9b67817118c52546c7 100644
--- a/src/TNL/Operators/diffusion/LinearDiffusion_impl.h
+++ b/src/TNL/Operators/diffusion/LinearDiffusion_impl.h
@@ -156,6 +156,8 @@ operator()( const PreimageFunction& u,
const typename EntityType::template NeighbourEntities< 2 >& neighbourEntities = entity.getNeighbourEntities();
const RealType& hxSquareInverse = entity.getMesh().template getSpaceStepsProducts< -2, 0 >();
const RealType& hySquareInverse = entity.getMesh().template getSpaceStepsProducts< 0, -2 >();
+ const IndexType c = entity.getIndex();
+ const IndexType xSize = entity.getMesh().getDimensions().x();
return ( u[ neighbourEntities.template getEntityIndex< -1, 0 >() ]
+ u[ neighbourEntities.template getEntityIndex< 1, 0 >() ] ) * hxSquareInverse +
( u[ neighbourEntities.template getEntityIndex< 0, -1 >() ]
diff --git a/src/TNL/Problems/HeatEquationProblem_impl.h b/src/TNL/Problems/HeatEquationProblem_impl.h
index dcb8e69a3c481bf389b7332f5276eadded6b4e88..6dc77992669e167ca200a820a87bf32be79d4178 100644
--- a/src/TNL/Problems/HeatEquationProblem_impl.h
+++ b/src/TNL/Problems/HeatEquationProblem_impl.h
@@ -69,8 +69,6 @@ bool
HeatEquationProblem< Mesh, BoundaryCondition, RightHandSide, DifferentialOperator >::
writeEpilog( Logger& logger )
{
- logger.writeParameter< const char* >( "GPU transfer time:", "" );
- this->gpuTransferTimer.writeLog( logger, 1 );
return true;
}
@@ -239,9 +237,9 @@ getExplicitRHS( const RealType& time,
time + tau,
this->uPointer );*/
- //uPointer->write( "u.txt", "gnuplot" );
- //fuPointer->write( "fu.txt", "gnuplot" );
- //getchar();
+ /*uPointer->write( "u.txt", "gnuplot" );
+ fuPointer->write( "fu.txt", "gnuplot" );
+ getchar();*/
}
template< typename Mesh,
diff --git a/src/TNL/Solvers/SolverStarter_impl.h b/src/TNL/Solvers/SolverStarter_impl.h
index afef48a6bfdbd3f6cd5e439765d22d2a6738d91c..2d988c8b4120920ca346dd7e8e205b43f64660f9 100644
--- a/src/TNL/Solvers/SolverStarter_impl.h
+++ b/src/TNL/Solvers/SolverStarter_impl.h
@@ -478,6 +478,11 @@ bool SolverStarter< ConfigTag > :: writeEpilog( std::ostream& str, const Solver&
return false;
logger.writeParameter< const char* >( "Compute time:", "" );
this->computeTimer.writeLog( logger, 1 );
+ if( std::is_same< typename Solver::DeviceType, TNL::Devices::Cuda >::value )
+ {
+ logger.writeParameter< const char* >( "GPU synchronization time:", "" );
+ TNL::Devices::Cuda::smartPointersSynchronizationTimer.writeLog( logger, 1 );
+ }
logger.writeParameter< const char* >( "I/O time:", "" );
this->ioTimer.writeLog( logger, 1 );
logger.writeParameter< const char* >( "Total time:", "" );
diff --git a/src/TNL/Timer.cpp b/src/TNL/Timer.cpp
index 06a50358017c631b9710d5e88b1fd093e43fc4a3..dc561202e7f6f7b759cc599edba7e37d2a1b7362 100644
--- a/src/TNL/Timer.cpp
+++ b/src/TNL/Timer.cpp
@@ -9,6 +9,7 @@
/* See Copyright Notice in tnl/Copyright */
#include <TNL/Timer.h>
+#include <TNL/Logger.h>
#include <TNL/tnlConfig.h>
#ifdef HAVE_SYS_RESOURCE_H
diff --git a/src/TNL/Timer.h b/src/TNL/Timer.h
index 58e35e03d1636178ac6907ade662b8217447639a..5019ab46f3bf2ff0dcef2bed65d96ac9af848457 100644
--- a/src/TNL/Timer.h
+++ b/src/TNL/Timer.h
@@ -11,10 +11,10 @@
#pragma once
-#include <TNL/Logger.h>
-
namespace TNL {
+class Logger;
+
class Timer
{
public:
diff --git a/tests/benchmarks/heat-equation-benchmark/HeatEquationBenchmarkProblem_impl.h b/tests/benchmarks/heat-equation-benchmark/HeatEquationBenchmarkProblem_impl.h
index e9e3b5af463addbc9b1411ce779f8616a64c0905..d074b13bc504c16e62a03df39ed7eedd8b997f83 100644
--- a/tests/benchmarks/heat-equation-benchmark/HeatEquationBenchmarkProblem_impl.h
+++ b/tests/benchmarks/heat-equation-benchmark/HeatEquationBenchmarkProblem_impl.h
@@ -354,15 +354,15 @@ heatEquationTemplatedCompact( const GridType* grid,
{
GridEntity entity( *grid, coordinates, entityOrientation, entityBasis );
- //entity.refresh();
- /*if( ! entity.isBoundaryEntity() )
+ entity.refresh();
+ if( ! entity.isBoundaryEntity() )
{
fu( entity ) =
( *differentialOperator )( u, entity, time );
typedef Functions::FunctionAdapter< GridType, RightHandSide > FunctionAdapter;
fu( entity ) += FunctionAdapter::getValue( *rightHandSide, entity, time );
- }*/
+ }
}
}
#endif
diff --git a/tests/benchmarks/heat-equation-benchmark/pure-c-rhs.h b/tests/benchmarks/heat-equation-benchmark/pure-c-rhs.h
index 7f2dcfe6bd007bdafbcb634747180b91df3a73d8..3097d652f0a9928d791854c1eacb2728790dba6e 100644
--- a/tests/benchmarks/heat-equation-benchmark/pure-c-rhs.h
+++ b/tests/benchmarks/heat-equation-benchmark/pure-c-rhs.h
@@ -52,12 +52,12 @@ __global__ void boundaryConditionsKernel( Real* u,
aux[ j * gridXSize + gridYSize - 1 ] = 0.0;
u[ j * gridXSize + gridYSize - 1 ] = 0.0; //u[ j * gridXSize + gridXSize - 1 ];
}
- if( j == 0 && i > 0 && i < gridXSize - 1 )
+ if( j == 0 && i < gridXSize )
{
aux[ i ] = 0.0; //u[ j * gridXSize + 1 ];
u[ i ] = 0.0; //u[ j * gridXSize + 1 ];
}
- if( j == gridYSize -1 && i > 0 && i < gridXSize - 1 )
+ if( j == gridYSize -1 && i < gridXSize )
{
aux[ j * gridXSize + i ] = 0.0; //u[ j * gridXSize + gridXSize - 1 ];
u[ j * gridXSize + i ] = 0.0; //u[ j * gridXSize + gridXSize - 1 ];
@@ -80,11 +80,11 @@ __global__ void heatEquationKernel( const Real* u,
j > 0 && j < gridYSize - 1 )
{
const Index c = j * gridXSize + i;
- aux[ c ] = tau * ( ( u[ c - 1 ] - 2.0 * u[ c ] + u[ c + 1 ] ) * hx_inv +
- ( u[ c - gridXSize ] - 2.0 * u[ c ] + u[ c + gridXSize ] * hy_inv ) );
- //aux[ c ] = tau * ( ( __ldg( &u[ c - 1 ] ) - 2.0 * __ldg( &u[ c ] ) + __ldg( &u[ c + 1 ] ) ) * hx_inv +
- // ( __ldg( &u[ c - gridXSize ] ) - 2.0 * __ldg( &u[ c ] ) + __ldg( &u[ c + gridXSize ] ) ) * hy_inv );
- }
+ aux[ c ] = ( ( u[ c - 1 ] - 2.0 * u[ c ] + u[ c + 1 ] ) * hx_inv +
+ ( u[ c - gridXSize ] - 2.0 * u[ c ] + u[ c + gridXSize ] ) * hy_inv );
+ //aux[ c ] = ( ( __ldg( &u[ c - 1 ] ) - 2.0 * __ldg( &u[ c ] ) + __ldg( &u[ c + 1 ] ) ) * hx_inv +
+ // ( __ldg( &u[ c - gridXSize ] ) - 2.0 * __ldg( &u[ c ] ) + __ldg( &u[ c + gridXSize ] ) ) * hy_inv );
+ }
}
template< typename RealType >
diff --git a/tests/benchmarks/heat-equation-benchmark/tnl-benchmark-simple-heat-equation.h b/tests/benchmarks/heat-equation-benchmark/tnl-benchmark-simple-heat-equation.h
index 6834ed731da5afeec97f485b4723d176fe741527..f040068f3a9da2c817002ed2572eaffa0560e34b 100644
--- a/tests/benchmarks/heat-equation-benchmark/tnl-benchmark-simple-heat-equation.h
+++ b/tests/benchmarks/heat-equation-benchmark/tnl-benchmark-simple-heat-equation.h
@@ -190,13 +190,14 @@ template< typename Real, typename Index >
__global__ void updateKernel( Real* u,
Real* aux,
Real* cudaBlockResidue,
- const Index dofs )
+ const Index dofs,
+ Real tau )
{
const Index blockOffset = blockIdx.x * blockDim.x;
Index idx = blockOffset + threadIdx.x;
if( idx < dofs )
- u[ idx ] += aux[ idx ];
+ u[ idx ] += tau * aux[ idx ];
__syncthreads();
@@ -346,29 +347,31 @@ bool solveHeatEquationCuda( const Config::ParameterContainer& parameters,
const Real timeLeft = finalTime - time;
const Real currentTau = tau < timeLeft ? tau : timeLeft;
- if( ! pureCRhsCuda( cudaGridSize, cudaBlockSize, cuda_u, cuda_aux, tau, hx_inv, hy_inv, gridXSize, gridYSize) )
+ if( ! pureCRhsCuda( cudaGridSize, cudaBlockSize, cuda_u, cuda_aux, currentTau, hx_inv, hy_inv, gridXSize, gridYSize) )
return false;
computationTimer.stop();
- /*cudaMemcpy( aux, cuda_aux, dofsCount * sizeof( Real ), cudaMemcpyDeviceToHost );
- writeFunction( "rhs", aux, gridXSize, gridYSize, hx, hy, domainXSize / 2.0, domainYSize / 2.0 );
- getchar();*/
-
+ /*if( iteration % 100 == 0 )
+ {
+ cudaMemcpy( aux, cuda_aux, dofsCount * sizeof( Real ), cudaMemcpyDeviceToHost );
+ writeFunction( "rhs", aux, gridXSize, gridYSize, hx, hy, domainXSize / 2.0, domainYSize / 2.0 );
+
+ cudaMemcpy( aux, cuda_u, dofsCount * sizeof( Real ), cudaMemcpyDeviceToHost );
+ writeFunction( "u", aux, gridXSize, gridYSize, hx, hy, domainXSize / 2.0, domainYSize / 2.0 );
+ getchar();
+ }*/
+
updateTimer.start();
/****
* Update
*/
//cout << "Update ... " << std::endl;
- updateKernel<<< cudaUpdateBlocks, cudaUpdateBlockSize >>>( cuda_u, cuda_aux, cuda_max_du, dofsCount );
+ updateKernel<<< cudaUpdateBlocks, cudaUpdateBlockSize >>>( cuda_u, cuda_aux, cuda_max_du, dofsCount, tau );
if( cudaGetLastError() != cudaSuccess )
{
std::cerr << "Update failed." << std::endl;
return false;
- }
- /*cudaMemcpy( aux, cuda_u, dofsCount * sizeof( Real ), cudaMemcpyDeviceToHost );
- writeFunction( "u", aux, gridXSize, gridYSize, hx, hy, domainXSize / 2.0, domainYSize / 2.0 );
- getchar();*/
-
+ }
cudaThreadSynchronize();
cudaMemcpy( max_du, cuda_max_du, cudaUpdateBlocks.x * sizeof( Real ), cudaMemcpyDeviceToHost );
@@ -391,12 +394,18 @@ bool solveHeatEquationCuda( const Config::ParameterContainer& parameters,
cout << "Iteration: " << iteration << "\t Time:" << time << " \r" << flush;
}
timer.stop();
+ if( verbose )
+ cout << endl;
+
//cudaMemcpy( u, cuda_u, dofsCount * sizeof( Real ), cudaMemcpyDeviceToHost );
//writeFunction( "final", u, gridXSize, gridYSize, hx, hy, domainXSize / 2.0, domainYSize / 2.0 );
/****
* Saving the result
*/
+ if( verbose )
+ std::cout << "Saving result..." << std::endl;
+
meshFunction.save( "simple-heat-equation-result.tnl" );
/***
@@ -535,6 +544,9 @@ bool solveHeatEquationHost( const Config::ParameterContainer& parameters,
std::cout << "Iteration: " << iteration << "\t \t Time:" << time << " \r" << std::flush;
}
timer.stop();
+ if( verbose )
+ cout << endl;
+
/****
* Saving the result