Loading TODO +5 −5 Original line number Diff line number Diff line Loading @@ -10,6 +10,11 @@ TODO: - data by se na hostu preskupila do souvisleho bloku dat a ten se prenesl najednou TODO: - zrejme bude potreba udrzovat ke kazdemu objektu jeho obraz na GPU/MIC - to by zarizovala metoda syncToDevice() napr. kazdy objekt by mel promennou modified, ktera by rikala, jestli se zmenil a zda je nutne ho prekopirovavat TODO: - zavest namespaces Loading @@ -21,11 +26,6 @@ TODO: CUDA unified memory se s nimi pracovat postaru - bylo by dobre to obalit unique poinetry, aby se nemusela delat dealokace rucne TODO: shared pointery - mohli bysme pomoci nich odstranit Shared objekty - asi by bylo lepsi datcounter z shared pointeru primo do array a tento counter by se alokoval az po porvnim sdileni dat - diky tomu by se array mohlo vytvaret i na gpu bez nutnosti dynamicke alokace, jen by nebylo mozne delat bind (nebo nejaky zjednoduseny) TODO: Mesh * vsechny traits zkusit presunout do jednotneho MeshTraits, tj. temer MeshConfigTraits ale pojmenovat jako MeshTraits * omezit tnlDimesnionsTag - asi to ale nepujde Loading src/functions/tnlMeshFunction.h +2 −0 Original line number Diff line number Diff line Loading @@ -66,6 +66,8 @@ class tnlMeshFunction : bool setup( const tnlParameterContainer& parameters, const tnlString& prefix = "" ); void bind( ThisType& meshFunction ); template< typename Vector > void bind( const MeshType& mesh, const Vector& data, Loading src/functions/tnlMeshFunction_impl.h +11 −0 Original line number Diff line number Diff line Loading @@ -133,6 +133,17 @@ setup( const tnlParameterContainer& parameters, return true; } template< typename Mesh, int MeshEntityDimensions, typename Real > void tnlMeshFunction< Mesh, MeshEntityDimensions, Real >:: bind( tnlMeshFunction< Mesh, MeshEntityDimensions, Real >& meshFunction ) { this->mesh = meshFunction.getMesh(); this->data.bind( meshFunction.getData() ); } template< typename Mesh, int MeshEntityDimensions, typename Real > Loading Loading
TODO +5 −5 Original line number Diff line number Diff line Loading @@ -10,6 +10,11 @@ TODO: - data by se na hostu preskupila do souvisleho bloku dat a ten se prenesl najednou TODO: - zrejme bude potreba udrzovat ke kazdemu objektu jeho obraz na GPU/MIC - to by zarizovala metoda syncToDevice() napr. kazdy objekt by mel promennou modified, ktera by rikala, jestli se zmenil a zda je nutne ho prekopirovavat TODO: - zavest namespaces Loading @@ -21,11 +26,6 @@ TODO: CUDA unified memory se s nimi pracovat postaru - bylo by dobre to obalit unique poinetry, aby se nemusela delat dealokace rucne TODO: shared pointery - mohli bysme pomoci nich odstranit Shared objekty - asi by bylo lepsi datcounter z shared pointeru primo do array a tento counter by se alokoval az po porvnim sdileni dat - diky tomu by se array mohlo vytvaret i na gpu bez nutnosti dynamicke alokace, jen by nebylo mozne delat bind (nebo nejaky zjednoduseny) TODO: Mesh * vsechny traits zkusit presunout do jednotneho MeshTraits, tj. temer MeshConfigTraits ale pojmenovat jako MeshTraits * omezit tnlDimesnionsTag - asi to ale nepujde Loading
src/functions/tnlMeshFunction.h +2 −0 Original line number Diff line number Diff line Loading @@ -66,6 +66,8 @@ class tnlMeshFunction : bool setup( const tnlParameterContainer& parameters, const tnlString& prefix = "" ); void bind( ThisType& meshFunction ); template< typename Vector > void bind( const MeshType& mesh, const Vector& data, Loading
src/functions/tnlMeshFunction_impl.h +11 −0 Original line number Diff line number Diff line Loading @@ -133,6 +133,17 @@ setup( const tnlParameterContainer& parameters, return true; } template< typename Mesh, int MeshEntityDimensions, typename Real > void tnlMeshFunction< Mesh, MeshEntityDimensions, Real >:: bind( tnlMeshFunction< Mesh, MeshEntityDimensions, Real >& meshFunction ) { this->mesh = meshFunction.getMesh(); this->data.bind( meshFunction.getData() ); } template< typename Mesh, int MeshEntityDimensions, typename Real > Loading