Loading tests/benchmarks/array-operations.h +2 −0 Original line number Diff line number Diff line Loading @@ -86,6 +86,8 @@ benchmarkArrayOperations( Benchmark & benchmark, benchmark.time( reset1, "CPU->GPU", copyAssignHostCuda, "GPU->CPU", copyAssignCudaHost ); return true; } } // namespace benchmarks Loading tests/benchmarks/tnl-cuda-benchmarks.h +2 −2 Original line number Diff line number Diff line Loading @@ -228,8 +228,8 @@ int main( int argc, char* argv[] ) benchmarkVectorOperations< Real >( benchmark, loops, size ); // SpMV benchmark.newBenchmark( tnlString("SpMV (") + precision + ")", // Sparse matrix-vector multiplication benchmark.newBenchmark( tnlString("Sparse matrix-vector multiplication (") + precision + ")", metadata ); benchmark.setMetadataColumns( Benchmark::MetadataColumns({ {"rows", size}, Loading Loading
tests/benchmarks/array-operations.h +2 −0 Original line number Diff line number Diff line Loading @@ -86,6 +86,8 @@ benchmarkArrayOperations( Benchmark & benchmark, benchmark.time( reset1, "CPU->GPU", copyAssignHostCuda, "GPU->CPU", copyAssignCudaHost ); return true; } } // namespace benchmarks Loading
tests/benchmarks/tnl-cuda-benchmarks.h +2 −2 Original line number Diff line number Diff line Loading @@ -228,8 +228,8 @@ int main( int argc, char* argv[] ) benchmarkVectorOperations< Real >( benchmark, loops, size ); // SpMV benchmark.newBenchmark( tnlString("SpMV (") + precision + ")", // Sparse matrix-vector multiplication benchmark.newBenchmark( tnlString("Sparse matrix-vector multiplication (") + precision + ")", metadata ); benchmark.setMetadataColumns( Benchmark::MetadataColumns({ {"rows", size}, Loading