diff --git a/src/TNL/Algorithms/Segments/CSR.h b/src/TNL/Algorithms/Segments/CSR.h
index fd5a80fd84e5ea92976fd98d08cec473c0911ccc..576a1de79563b19eec101c3961f724d18ba02b7b 100644
--- a/src/TNL/Algorithms/Segments/CSR.h
+++ b/src/TNL/Algorithms/Segments/CSR.h
@@ -23,7 +23,7 @@ namespace TNL {
template< typename Device,
typename Index,
- typename Kernel = CSRKernelScalar< Index, Device >,
+ typename Kernel = CSRScalarKernel< Index, Device >,
typename IndexAllocator = typename Allocators::Default< Device >::template Allocator< Index > >
class CSR
{
@@ -140,7 +140,7 @@ class CSR
template< typename Device,
typename Index,
typename IndexAllocator = typename Allocators::Default< Device >::template Allocator< Index > >
-using CSRScalar = CSR< Device, Index, CSRKernelScalar< Index, Device >, IndexAllocator >;
+using CSRScalar = CSR< Device, Index, CSRScalarKernel< Index, Device >, IndexAllocator >;
template< typename Device,
typename Index,
diff --git a/src/TNL/Algorithms/Segments/CSRKernelScalar.h b/src/TNL/Algorithms/Segments/CSRScalarKernel.h
similarity index 87%
rename from src/TNL/Algorithms/Segments/CSRKernelScalar.h
rename to src/TNL/Algorithms/Segments/CSRScalarKernel.h
index 1de467a39987733ec0b798c62f41177fab7930ec..8a56d75d1b38a3e224176925ce5017f9a53d2e1a 100644
--- a/src/TNL/Algorithms/Segments/CSRKernelScalar.h
+++ b/src/TNL/Algorithms/Segments/CSRScalarKernel.h
@@ -1,5 +1,5 @@
/***************************************************************************
- CSRKernelScalar.h - description
+ CSRScalarKernel.h - description
-------------------
begin : Jan 23, 2021 -> Joe Biden inauguration
copyright : (C) 2021 by Tomas Oberhuber
@@ -22,12 +22,12 @@ namespace TNL {
template< typename Index,
typename Device >
-struct CSRKernelScalar
+struct CSRScalarKernel
{
using IndexType = Index;
using DeviceType = Device;
- using ViewType = CSRKernelScalar< Index, Device >;
- using ConstViewType = CSRKernelScalar< Index, Device >;
+ using ViewType = CSRScalarKernel< Index, Device >;
+ using ConstViewType = CSRScalarKernel< Index, Device >;
template< typename Offsets >
void init( const Offsets& offsets );
@@ -60,4 +60,4 @@ struct CSRKernelScalar
} // namespace Algorithms
} // namespace TNL
-#include <TNL/Algorithms/Segments/CSRKernelScalar.hpp>
\ No newline at end of file
+#include <TNL/Algorithms/Segments/CSRScalarKernel.hpp>
\ No newline at end of file
diff --git a/src/TNL/Algorithms/Segments/CSRKernelScalar.hpp b/src/TNL/Algorithms/Segments/CSRScalarKernel.hpp
similarity index 88%
rename from src/TNL/Algorithms/Segments/CSRKernelScalar.hpp
rename to src/TNL/Algorithms/Segments/CSRScalarKernel.hpp
index b5a396e1592e76ed75eee07b5bba3e342f0bc2ca..75fda2e440d48e38e1f990fe187c9d3543c25839 100644
--- a/src/TNL/Algorithms/Segments/CSRKernelScalar.hpp
+++ b/src/TNL/Algorithms/Segments/CSRScalarKernel.hpp
@@ -1,5 +1,5 @@
/***************************************************************************
- CSRKernelScalar.h - description
+ CSRScalarKernel.h - description
-------------------
begin : Jan 23, 2021 -> Joe Biden inauguration
copyright : (C) 2021 by Tomas Oberhuber
@@ -14,7 +14,7 @@
#include <TNL/Cuda/LaunchHelpers.h>
#include <TNL/Containers/VectorView.h>
#include <TNL/Algorithms/ParallelFor.h>
-#include <TNL/Algorithms/Segments/CSRKernelScalar.h>
+#include <TNL/Algorithms/Segments/CSRScalarKernel.h>
#include <TNL/Algorithms/Segments/details/LambdaAdapter.h>
namespace TNL {
@@ -25,7 +25,7 @@ template< typename Index,
typename Device >
template< typename Offsets >
void
-CSRKernelScalar< Index, Device >::
+CSRScalarKernel< Index, Device >::
init( const Offsets& offsets )
{
}
@@ -33,7 +33,7 @@ init( const Offsets& offsets )
template< typename Index,
typename Device >
void
-CSRKernelScalar< Index, Device >::
+CSRScalarKernel< Index, Device >::
reset()
{
}
@@ -41,7 +41,7 @@ reset()
template< typename Index,
typename Device >
auto
-CSRKernelScalar< Index, Device >::
+CSRScalarKernel< Index, Device >::
getView() -> ViewType
{
return *this;
@@ -50,7 +50,7 @@ getView() -> ViewType
template< typename Index,
typename Device >
auto
-CSRKernelScalar< Index, Device >::
+CSRScalarKernel< Index, Device >::
getConstView() const -> ConstViewType
{
return *this;
@@ -59,7 +59,7 @@ getConstView() const -> ConstViewType
template< typename Index,
typename Device >
TNL::String
-CSRKernelScalar< Index, Device >::
+CSRScalarKernel< Index, Device >::
getKernelType()
{
return "Scalar";
@@ -74,7 +74,7 @@ template< typename Index,
typename Real,
typename... Args >
void
-CSRKernelScalar< Index, Device >::
+CSRScalarKernel< Index, Device >::
segmentsReduction( const OffsetsView& offsets,
Index first,
Index last,
diff --git a/src/TNL/Algorithms/Segments/CSRView.h b/src/TNL/Algorithms/Segments/CSRView.h
index 4576d9fdb5efbb527fb8f35d77b29b168b6a0978..3a19f4af78c6a0a904a49e66edd70ca4f5085fe6 100644
--- a/src/TNL/Algorithms/Segments/CSRView.h
+++ b/src/TNL/Algorithms/Segments/CSRView.h
@@ -14,7 +14,7 @@
#include <TNL/Containers/Vector.h>
#include <TNL/Algorithms/Segments/SegmentView.h>
-#include <TNL/Algorithms/Segments/CSRKernelScalar.h>
+#include <TNL/Algorithms/Segments/CSRScalarKernel.h>
#include <TNL/Algorithms/Segments/CSRKernelVector.h>
#include <TNL/Algorithms/Segments/CSRKernelHybrid.h>
#include <TNL/Algorithms/Segments/CSRKernelAdaptive.h>
@@ -25,7 +25,7 @@ namespace TNL {
template< typename Device,
typename Index,
- typename Kernel = CSRKernelScalar< Index, Device > >
+ typename Kernel = CSRScalarKernel< Index, Device > >
class CSRView
{
public:
@@ -134,7 +134,7 @@ class CSRView
template< typename Device,
typename Index >
-using CSRViewScalar = CSRView< Device, Index, CSRKernelScalar< Index, Device > >;
+using CSRViewScalar = CSRView< Device, Index, CSRScalarKernel< Index, Device > >;
template< typename Device,
typename Index >
diff --git a/src/TNL/Algorithms/Segments/CSRView.hpp b/src/TNL/Algorithms/Segments/CSRView.hpp
index 8b1dce064e9e4dd086b61c5c3d9e46c4cc66086b..96844fe50d05ced5a8ff6e34748a1dd25c43a8c1 100644
--- a/src/TNL/Algorithms/Segments/CSRView.hpp
+++ b/src/TNL/Algorithms/Segments/CSRView.hpp
@@ -220,7 +220,7 @@ CSRView< Device, Index, Kernel >::
segmentsReduction( IndexType first, IndexType last, Fetch& fetch, const Reduction& reduction, ResultKeeper& keeper, const Real& zero, Args... args ) const
{
if( std::is_same< DeviceType, TNL::Devices::Host >::value )
- TNL::Algorithms::Segments::CSRKernelScalar< IndexType, DeviceType >::segmentsReduction( offsets, first, last, fetch, reduction, keeper, zero, args... );
+ TNL::Algorithms::Segments::CSRScalarKernel< IndexType, DeviceType >::segmentsReduction( offsets, first, last, fetch, reduction, keeper, zero, args... );
else
kernel.segmentsReduction( offsets, first, last, fetch, reduction, keeper, zero, args... );
}
diff --git a/src/TNL/Matrices/SparseMatrix.hpp b/src/TNL/Matrices/SparseMatrix.hpp
index e348eed8d636f85e3df5cdb8690c93f864578246..0b6b8d53571bc30556afc6ad840db3108012ff7d 100644
--- a/src/TNL/Matrices/SparseMatrix.hpp
+++ b/src/TNL/Matrices/SparseMatrix.hpp
@@ -984,14 +984,12 @@ operator=( const RHSMatrix& matrix )
auto f1 = [=] __cuda_callable__ ( RHSIndexType rowIdx, RHSIndexType localIdx, RHSIndexType columnIndex, const RHSRealType& value, bool& compute ) mutable {
if( columnIndex != paddingIndex )
{
- //printf("SparseMatrix.hpp: localIdx = %d, maxRowLength = %d \n", localIdx, maxRowLength );
TNL_ASSERT_LT( rowIdx - baseRow, bufferRowsCount, "" );
TNL_ASSERT_LT( localIdx, maxRowLength, "" );
const IndexType bufferIdx = ( rowIdx - baseRow ) * maxRowLength + localIdx;
TNL_ASSERT_LT( bufferIdx, ( IndexType ) bufferSize, "" );
matrixColumnsBuffer_view[ bufferIdx ] = columnIndex;
matrixValuesBuffer_view[ bufferIdx ] = value;
- //printf( "TO BUFFER: rowIdx = %d localIdx = %d bufferIdx = %d column = %d value = %d \n", rowIdx, localIdx, bufferIdx, columnIndex, value );
}
};
matrix.forRows( baseRow, lastRow, f1 );
@@ -1016,8 +1014,6 @@ operator=( const RHSMatrix& matrix )
TNL_ASSERT_LT( bufferIdx, bufferSize, "" );
inValue = thisValuesBuffer_view[ bufferIdx ];
}
- //std::cerr << "rowIdx = " << rowIdx << " localIdx = " << localIdx << " bufferLocalIdx = " << bufferLocalIdx
- // << " inValue = " << inValue << " bufferIdx = " << bufferIdx << std::endl;
rowLocalIndexes_view[ rowIdx ] = bufferLocalIdx;
if( inValue == 0.0 )
{