Loading TODO +12 −14 Original line number Diff line number Diff line - pridet execution policy https://github.com/harrism/hemi/blob/master/hemi/execution_policy.h - prejmenova Assert na TNL_ASSERT a rozsirit asserce podobne jako v GTest - odstranit paramee lazy ze smart pointeru TODO: - pri zpracovani dat z MRI jde vetsinou o prilis male snimky na optimalni vyuziti GPU (ve 2D). Kdyby se ale pomoci CUDA streamu provadelo vice vypoctu soucasne, mohlo by se dosahnout mnohem lepsiho urychleni TODO: - objekt NeighborEnities by mohl vracet i lokalni index dane neighbor entity, coz je potreba pro spravne vkladani maticovych elementu, ted se tyto indexy doplnuji rucne podle znalosti indexovani v gridu. Jelikoz neighbor entities mohou znat typ okoli/vzor numerickeho schematu, dokazaly by se prizpusobit i ruznym patternum. To by pak vyresilo i skladani operatoru s ruznymi patterny. TODO: - pridat execution policy https://github.com/harrism/hemi/blob/master/hemi/execution_policy.h - odstranit parametr lazy ze smart pointeru TODO: - implementovat tnlMixedGridBoundaryConditions, kde by se pro kazdou stranu gridu definoval jiny zvlastni typ Loading @@ -15,11 +24,6 @@ TODO: - data by se na hostu preskupila do souvisleho bloku dat a ten se prenesl najednou TODO: TODO: - zavest namespaces TODO: CUDA unified memory - pretizit operator new s cudaMallocManaged, pak by bylo mozne vytvaret CUDA objekty pristupne pro host a device - v TNL solveru by pak vlastne jen stacilo vytvaret objekty pomoci new Loading @@ -28,11 +32,6 @@ 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 @@ -45,7 +44,6 @@ TODO: implementace maticovych resicu * Gaussova eliminace * SOR metoda * Jacobiho metoda * TFQMR metoda * IDR metody TODO: Nahradit sablonovy parametr dimenze sitove entity za typ entity. Pak by se mohlo zkusit, napriklad u gridu Loading src/TNL/String.cpp +6 −0 Original line number Diff line number Diff line Loading @@ -29,6 +29,12 @@ String::String() setString( nullptr ); } String::String( char* c, int prefix_cut_off, int sufix_cut_off ) : string( nullptr ), length( 0 ) { setString( c, prefix_cut_off, sufix_cut_off ); } String::String( const char* c, int prefix_cut_off, int sufix_cut_off ) : string( nullptr ), length( 0 ) { Loading src/TNL/String.h +5 −0 Original line number Diff line number Diff line Loading @@ -46,6 +46,11 @@ public: int prefix_cut_off = 0, int sufix_cut_off = 0 ); String( char* c, int prefix_cut_off = 0, int sufix_cut_off = 0 ); static String getType(); //! Copy constructor Loading Loading
TODO +12 −14 Original line number Diff line number Diff line - pridet execution policy https://github.com/harrism/hemi/blob/master/hemi/execution_policy.h - prejmenova Assert na TNL_ASSERT a rozsirit asserce podobne jako v GTest - odstranit paramee lazy ze smart pointeru TODO: - pri zpracovani dat z MRI jde vetsinou o prilis male snimky na optimalni vyuziti GPU (ve 2D). Kdyby se ale pomoci CUDA streamu provadelo vice vypoctu soucasne, mohlo by se dosahnout mnohem lepsiho urychleni TODO: - objekt NeighborEnities by mohl vracet i lokalni index dane neighbor entity, coz je potreba pro spravne vkladani maticovych elementu, ted se tyto indexy doplnuji rucne podle znalosti indexovani v gridu. Jelikoz neighbor entities mohou znat typ okoli/vzor numerickeho schematu, dokazaly by se prizpusobit i ruznym patternum. To by pak vyresilo i skladani operatoru s ruznymi patterny. TODO: - pridat execution policy https://github.com/harrism/hemi/blob/master/hemi/execution_policy.h - odstranit parametr lazy ze smart pointeru TODO: - implementovat tnlMixedGridBoundaryConditions, kde by se pro kazdou stranu gridu definoval jiny zvlastni typ Loading @@ -15,11 +24,6 @@ TODO: - data by se na hostu preskupila do souvisleho bloku dat a ten se prenesl najednou TODO: TODO: - zavest namespaces TODO: CUDA unified memory - pretizit operator new s cudaMallocManaged, pak by bylo mozne vytvaret CUDA objekty pristupne pro host a device - v TNL solveru by pak vlastne jen stacilo vytvaret objekty pomoci new Loading @@ -28,11 +32,6 @@ 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 @@ -45,7 +44,6 @@ TODO: implementace maticovych resicu * Gaussova eliminace * SOR metoda * Jacobiho metoda * TFQMR metoda * IDR metody TODO: Nahradit sablonovy parametr dimenze sitove entity za typ entity. Pak by se mohlo zkusit, napriklad u gridu Loading
src/TNL/String.cpp +6 −0 Original line number Diff line number Diff line Loading @@ -29,6 +29,12 @@ String::String() setString( nullptr ); } String::String( char* c, int prefix_cut_off, int sufix_cut_off ) : string( nullptr ), length( 0 ) { setString( c, prefix_cut_off, sufix_cut_off ); } String::String( const char* c, int prefix_cut_off, int sufix_cut_off ) : string( nullptr ), length( 0 ) { Loading
src/TNL/String.h +5 −0 Original line number Diff line number Diff line Loading @@ -46,6 +46,11 @@ public: int prefix_cut_off = 0, int sufix_cut_off = 0 ); String( char* c, int prefix_cut_off = 0, int sufix_cut_off = 0 ); static String getType(); //! Copy constructor Loading