Loading src/Benchmarks/BLAS/array-operations.h +1 −1 Original line number Diff line number Diff line Loading @@ -26,7 +26,7 @@ template< typename Real = double, template<typename> class HostAllocator = Allocators::Default< Devices::Host >::Allocator, template<typename> class CudaAllocator = Allocators::Default< Devices::Cuda >::Allocator > void benchmarkArrayOperations( Benchmark & benchmark, benchmarkArrayOperations( Benchmark<> & benchmark, const long & size ) { using HostArray = Containers::Array< Real, Devices::Host, Index, HostAllocator< Real > >; Loading src/Benchmarks/BLAS/spmv.h +2 −2 Original line number Diff line number Diff line Loading @@ -97,7 +97,7 @@ void setCudaTestMatrix( Matrix& matrix, template< typename Real, template< typename, typename, typename > class Matrix > void benchmarkSpMV( Benchmark & benchmark, benchmarkSpMV( Benchmark<> & benchmark, const int & size, const int elementsPerRow = 5 ) { Loading Loading @@ -173,7 +173,7 @@ benchmarkSpMV( Benchmark & benchmark, template< typename Real = double, typename Index = int > void benchmarkSpmvSynthetic( Benchmark & benchmark, benchmarkSpmvSynthetic( Benchmark<> & benchmark, const int & size, const int & elementsPerRow ) { Loading src/Benchmarks/BLAS/tnl-benchmark-blas.h +8 −8 Original line number Diff line number Diff line Loading @@ -29,8 +29,8 @@ using namespace TNL::Benchmarks; template< typename Real > void runBlasBenchmarks( Benchmark & benchmark, Benchmark::MetadataMap metadata, runBlasBenchmarks( Benchmark<> & benchmark, Benchmark<>::MetadataMap metadata, const std::size_t & minSize, const std::size_t & maxSize, const double & sizeStepFactor, Loading @@ -43,7 +43,7 @@ runBlasBenchmarks( Benchmark & benchmark, benchmark.newBenchmark( String("Array operations (") + precision + ", host allocator = Host)", metadata ); for( std::size_t size = minSize; size <= maxSize; size *= 2 ) { benchmark.setMetadataColumns( Benchmark::MetadataColumns({ benchmark.setMetadataColumns( Benchmark<>::MetadataColumns({ { "size", convertToString( size ) }, } )); benchmarkArrayOperations< Real >( benchmark, size ); Loading Loading @@ -71,7 +71,7 @@ runBlasBenchmarks( Benchmark & benchmark, benchmark.newBenchmark( String("Vector operations (") + precision + ")", metadata ); for( std::size_t size = minSize; size <= maxSize; size *= sizeStepFactor ) { benchmark.setMetadataColumns( Benchmark::MetadataColumns({ benchmark.setMetadataColumns( Benchmark<>::MetadataColumns({ { "size", convertToString( size ) }, } )); benchmarkVectorOperations< Real >( benchmark, size ); Loading @@ -82,7 +82,7 @@ runBlasBenchmarks( Benchmark & benchmark, benchmark.newBenchmark( String("Triad benchmark (") + precision + ")", metadata ); for( std::size_t size = minSize; size <= maxSize; size *= 2 ) { benchmark.setMetadataColumns( Benchmark::MetadataColumns({ benchmark.setMetadataColumns( Benchmark<>::MetadataColumns({ { "size", convertToString( size ) }, } )); benchmarkTriad< Real >( benchmark, size ); Loading @@ -93,7 +93,7 @@ runBlasBenchmarks( Benchmark & benchmark, benchmark.newBenchmark( String("Sparse matrix-vector multiplication (") + precision + ")", metadata ); for( std::size_t size = minSize; size <= maxSize; size *= 2 ) { benchmark.setMetadataColumns( Benchmark::MetadataColumns({ benchmark.setMetadataColumns( Benchmark<>::MetadataColumns({ { "rows", convertToString( size ) }, { "columns", convertToString( size ) }, { "elements per row", convertToString( elementsPerRow ) }, Loading Loading @@ -168,10 +168,10 @@ main( int argc, char* argv[] ) std::ofstream logFile( logFileName.getString(), mode ); // init benchmark and common metadata Benchmark benchmark( loops, verbose ); Benchmark<> benchmark( loops, verbose ); // prepare global metadata Benchmark::MetadataMap metadata = getHardwareMetadata(); Benchmark<>::MetadataMap metadata = getHardwareMetadata< Logging >(); if( precision == "all" || precision == "float" ) runBlasBenchmarks< float >( benchmark, metadata, minSize, maxSize, sizeStepFactor, elementsPerRow ); Loading src/Benchmarks/BLAS/triad.h +1 −1 Original line number Diff line number Diff line Loading @@ -24,7 +24,7 @@ namespace Benchmarks { template< typename Real = double, typename Index = int > void benchmarkTriad( Benchmark & benchmark, benchmarkTriad( Benchmark<> & benchmark, const long & size ) { using HostAllocator = Allocators::Host< Real >; Loading src/Benchmarks/BLAS/vector-operations.h +1 −1 Original line number Diff line number Diff line Loading @@ -36,7 +36,7 @@ namespace Benchmarks { template< typename Real = double, typename Index = int > void benchmarkVectorOperations( Benchmark & benchmark, benchmarkVectorOperations( Benchmark<> & benchmark, const long & size ) { using HostVector = Containers::Vector< Real, Devices::Host, Index >; Loading Loading
src/Benchmarks/BLAS/array-operations.h +1 −1 Original line number Diff line number Diff line Loading @@ -26,7 +26,7 @@ template< typename Real = double, template<typename> class HostAllocator = Allocators::Default< Devices::Host >::Allocator, template<typename> class CudaAllocator = Allocators::Default< Devices::Cuda >::Allocator > void benchmarkArrayOperations( Benchmark & benchmark, benchmarkArrayOperations( Benchmark<> & benchmark, const long & size ) { using HostArray = Containers::Array< Real, Devices::Host, Index, HostAllocator< Real > >; Loading
src/Benchmarks/BLAS/spmv.h +2 −2 Original line number Diff line number Diff line Loading @@ -97,7 +97,7 @@ void setCudaTestMatrix( Matrix& matrix, template< typename Real, template< typename, typename, typename > class Matrix > void benchmarkSpMV( Benchmark & benchmark, benchmarkSpMV( Benchmark<> & benchmark, const int & size, const int elementsPerRow = 5 ) { Loading Loading @@ -173,7 +173,7 @@ benchmarkSpMV( Benchmark & benchmark, template< typename Real = double, typename Index = int > void benchmarkSpmvSynthetic( Benchmark & benchmark, benchmarkSpmvSynthetic( Benchmark<> & benchmark, const int & size, const int & elementsPerRow ) { Loading
src/Benchmarks/BLAS/tnl-benchmark-blas.h +8 −8 Original line number Diff line number Diff line Loading @@ -29,8 +29,8 @@ using namespace TNL::Benchmarks; template< typename Real > void runBlasBenchmarks( Benchmark & benchmark, Benchmark::MetadataMap metadata, runBlasBenchmarks( Benchmark<> & benchmark, Benchmark<>::MetadataMap metadata, const std::size_t & minSize, const std::size_t & maxSize, const double & sizeStepFactor, Loading @@ -43,7 +43,7 @@ runBlasBenchmarks( Benchmark & benchmark, benchmark.newBenchmark( String("Array operations (") + precision + ", host allocator = Host)", metadata ); for( std::size_t size = minSize; size <= maxSize; size *= 2 ) { benchmark.setMetadataColumns( Benchmark::MetadataColumns({ benchmark.setMetadataColumns( Benchmark<>::MetadataColumns({ { "size", convertToString( size ) }, } )); benchmarkArrayOperations< Real >( benchmark, size ); Loading Loading @@ -71,7 +71,7 @@ runBlasBenchmarks( Benchmark & benchmark, benchmark.newBenchmark( String("Vector operations (") + precision + ")", metadata ); for( std::size_t size = minSize; size <= maxSize; size *= sizeStepFactor ) { benchmark.setMetadataColumns( Benchmark::MetadataColumns({ benchmark.setMetadataColumns( Benchmark<>::MetadataColumns({ { "size", convertToString( size ) }, } )); benchmarkVectorOperations< Real >( benchmark, size ); Loading @@ -82,7 +82,7 @@ runBlasBenchmarks( Benchmark & benchmark, benchmark.newBenchmark( String("Triad benchmark (") + precision + ")", metadata ); for( std::size_t size = minSize; size <= maxSize; size *= 2 ) { benchmark.setMetadataColumns( Benchmark::MetadataColumns({ benchmark.setMetadataColumns( Benchmark<>::MetadataColumns({ { "size", convertToString( size ) }, } )); benchmarkTriad< Real >( benchmark, size ); Loading @@ -93,7 +93,7 @@ runBlasBenchmarks( Benchmark & benchmark, benchmark.newBenchmark( String("Sparse matrix-vector multiplication (") + precision + ")", metadata ); for( std::size_t size = minSize; size <= maxSize; size *= 2 ) { benchmark.setMetadataColumns( Benchmark::MetadataColumns({ benchmark.setMetadataColumns( Benchmark<>::MetadataColumns({ { "rows", convertToString( size ) }, { "columns", convertToString( size ) }, { "elements per row", convertToString( elementsPerRow ) }, Loading Loading @@ -168,10 +168,10 @@ main( int argc, char* argv[] ) std::ofstream logFile( logFileName.getString(), mode ); // init benchmark and common metadata Benchmark benchmark( loops, verbose ); Benchmark<> benchmark( loops, verbose ); // prepare global metadata Benchmark::MetadataMap metadata = getHardwareMetadata(); Benchmark<>::MetadataMap metadata = getHardwareMetadata< Logging >(); if( precision == "all" || precision == "float" ) runBlasBenchmarks< float >( benchmark, metadata, minSize, maxSize, sizeStepFactor, elementsPerRow ); Loading
src/Benchmarks/BLAS/triad.h +1 −1 Original line number Diff line number Diff line Loading @@ -24,7 +24,7 @@ namespace Benchmarks { template< typename Real = double, typename Index = int > void benchmarkTriad( Benchmark & benchmark, benchmarkTriad( Benchmark<> & benchmark, const long & size ) { using HostAllocator = Allocators::Host< Real >; Loading
src/Benchmarks/BLAS/vector-operations.h +1 −1 Original line number Diff line number Diff line Loading @@ -36,7 +36,7 @@ namespace Benchmarks { template< typename Real = double, typename Index = int > void benchmarkVectorOperations( Benchmark & benchmark, benchmarkVectorOperations( Benchmark<> & benchmark, const long & size ) { using HostVector = Containers::Vector< Real, Devices::Host, Index >; Loading