Участник:VolkovNikita94: различия между версиями
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| Строка 381: | Строка 381: | ||
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Двумерная структура с квадратным параллелизмом и массовыми рассылками по каждому измерению | Двумерная структура с квадратным параллелизмом и массовыми рассылками по каждому измерению | ||
| + | <source lang = "c++"> | ||
| + | int accumSum(int** _src, int _nCol, int _nRow) | ||
| + | { | ||
| + | for (int rowId = 0; rowId < _nRow; ++rowId) | ||
| + | { | ||
| + | for (int colId = 0; colId < _nCol; ++colId) | ||
| + | { | ||
| + | _src[rowId][colId] += _src[rowId][colId == 0 ? colId : colId - 1]; | ||
| + | _src[rowId][colId] += _src[rowId == 0 ? rowId : rowId - 1][colId]; | ||
| + | _src[rowId][colId] += _src[rowId][0]; | ||
| + | _src[rowId][colId] += _src[0][colId]; | ||
| + | } | ||
| + | } | ||
| + | return _src[_nRow - 1][_nCol - 1]; | ||
| + | } | ||
| + | </source> | ||
<source lang = "xml"> | <source lang = "xml"> | ||
<?xml version="1.0" encoding="UTF-8"?> | <?xml version="1.0" encoding="UTF-8"?> | ||
| Строка 487: | Строка 503: | ||
<br> | <br> | ||
Набор независимых последовательно-параллельных 2D-структур с массовой рассылкой данных в каждой | Набор независимых последовательно-параллельных 2D-структур с массовой рассылкой данных в каждой | ||
| + | <source lang = "c++"> | ||
| + | void accumSum(int*** _src, int _nCol, int _nRow, int _nLayer) | ||
| + | { | ||
| + | for (int layerId = 0; layerId < _nLayer; ++layerId) | ||
| + | { | ||
| + | for (int rowId = 0; rowId < _nRow; ++rowId) | ||
| + | { | ||
| + | for (int colId = 0; colId < _nCol; ++colId) | ||
| + | { | ||
| + | _src[layerId][rowId][colId] += _src[layerId][rowId == 0 ? rowId : rowId - 1][colId == 0 ? colId : 0]; | ||
| + | _src[layerId][rowId][colId] += _src[layerId][rowId == 0 ? rowId : rowId - 1][colId]; | ||
| + | } | ||
| + | } | ||
| + | } | ||
| + | } | ||
| + | </source> | ||
<source lang = "xml"> | <source lang = "xml"> | ||
<?xml version="1.0" encoding="UTF-8"?> | <?xml version="1.0" encoding="UTF-8"?> | ||
| Строка 578: | Строка 610: | ||
<br> | <br> | ||
Набор одномерных последовательных структур, независимых между собой - 3D вариант | Набор одномерных последовательных структур, независимых между собой - 3D вариант | ||
| + | <source lang = "c++"> | ||
| + | void accumSum(int*** _src, int _nCol, int _nRow, int _nLayer) | ||
| + | { | ||
| + | for (int layerId = 0; layerId < _nLayer; ++layerId) | ||
| + | { | ||
| + | for (int rowId = 0; rowId < _nRow; ++rowId) | ||
| + | { | ||
| + | for (int colId = 0; colId < _nCol; ++colId) | ||
| + | { | ||
| + | _src[layerId][rowId][colId] += _src[layerId][rowId == 0 ? rowId : rowId - 1][colId]; | ||
| + | } | ||
| + | } | ||
| + | } | ||
| + | } | ||
| + | </source> | ||
<source lang = "xml"> | <source lang = "xml"> | ||
<?xml version="1.0" encoding="UTF-8"?> | <?xml version="1.0" encoding="UTF-8"?> | ||
Версия 23:15, 17 апреля 2019
Чисто последовательная структура в 2D-представлении (последовательное суммирование)
int seqSum(const std::vector<int>& _src)
{
int resSum = 0;
for (int srcId = 0; srcId < _src.size(); ++srcId)
{
resSum += _src[srcId];
}
return resSum;
}
<?xml version="1.0" encoding="UTF-8"?>
<algograph version="0.0.1">
<algorithm num_ext_params="1" num_groups="2">
<ext_param name="n"/>
<group id="0" num_or_parts="1" num_oper="1">
<or_part id="0" num_and_parts="1">
<and_part id="0"><![CDATA[]]></and_part>
<statement id="0" num_inputs="1">
<input id="0" num_solutions="0"/>
</statement>
</or_part>
</group>
<loop>
<loop>
<group id="1" num_or_parts="1" num_oper="1">
<or_part id="0" num_and_parts="4">
<and_part id="0"><![CDATA[-i1<=-1]]></and_part>
<and_part id="1"><![CDATA[i1<=n]]></and_part>
<and_part id="2"><![CDATA[-i2<=-1]]></and_part>
<and_part id="3"><![CDATA[i2<=n]]></and_part>
<statement id="0" num_inputs="3">
<input id="0" num_solutions="0"/>
<input id="1" num_solutions="3">
<solution num_altareas="1" group_id="1" or_part_id="0" statement_id="0" dimsolut="2">
<altarea num_conditions="5">
<condition><![CDATA[i2-n<=0]]></condition>
<condition><![CDATA[-n+2<=0]]></condition>
<condition><![CDATA[i1-n<=0]]></condition>
<condition><![CDATA[-i1+1<=0]]></condition>
<condition><![CDATA[-i2+2<=0]]></condition>
</altarea>
<dependency>
<coordinate><![CDATA[i1]]></coordinate>
<coordinate><![CDATA[i2-1]]></coordinate>
</dependency>
</solution>
<solution num_altareas="1" group_id="1" or_part_id="0" statement_id="0" dimsolut="2">
<altarea num_conditions="5">
<condition><![CDATA[-i2+1<=0]]></condition>
<condition><![CDATA[-n+2<=0]]></condition>
<condition><![CDATA[i1-n<=0]]></condition>
<condition><![CDATA[-i1+2<=0]]></condition>
<condition><![CDATA[i2-1<=0]]></condition>
</altarea>
<dependency>
<coordinate><![CDATA[i1-1]]></coordinate>
<coordinate><![CDATA[n]]></coordinate>
</dependency>
</solution>
<solution num_altareas="1" group_id="0" or_part_id="0" statement_id="0" dimsolut="0">
<altarea num_conditions="5">
<condition><![CDATA[-n+1<=0]]></condition>
<condition><![CDATA[-i2+1<=0]]></condition>
<condition><![CDATA[-i1+1<=0]]></condition>
<condition><![CDATA[i2-1<=0]]></condition>
<condition><![CDATA[i1-1<=0]]></condition>
</altarea>
</solution>
</input>
<input id="2" num_solutions="0"/>
</statement>
</or_part>
</group>
</loop>
</loop>
</algorithm>
</algograph>
Набор одномерных последовательных структур, независимых между собой - 2D вариант
void seqParSum(const std::vector<std::vector<int> >& _src, std::vector<int>& _res)
{
if (_src.size() != _res.size())
return;
for (int srcGrpId = 0; srcGrpId < _src.size(); ++srcGrpId)
{
for (int srcElId = 0; srcElId < _src[srcGrpId].size(); ++srcElId )
{
_res[srcGrpId] += _src[srcGrpId][srcElId];
}
}
return;
}
<?xml version="1.0" encoding="UTF-8"?>
<algograph version="0.0.1">
<algorithm num_ext_params="1" num_groups="2">
<ext_param name="n"/>
<group id="0" num_or_parts="1" num_oper="1">
<or_part id="0" num_and_parts="1">
<and_part id="0"><![CDATA[]]></and_part>
<statement id="0" num_inputs="1">
<input id="0" num_solutions="0"/>
</statement>
</or_part>
</group>
<loop>
<loop>
<group id="1" num_or_parts="1" num_oper="1">
<or_part id="0" num_and_parts="4">
<and_part id="0"><![CDATA[-i1<=-1]]></and_part>
<and_part id="1"><![CDATA[i1<=n]]></and_part>
<and_part id="2"><![CDATA[-i2<=-1]]></and_part>
<and_part id="3"><![CDATA[i2<=n]]></and_part>
<statement id="0" num_inputs="3">
<input id="0" num_solutions="0"/>
<input id="1" num_solutions="3">
<solution num_altareas="1" group_id="1" or_part_id="0" statement_id="0" dimsolut="2">
<altarea num_conditions="5">
<condition><![CDATA[i2-n<=0]]></condition>
<condition><![CDATA[-n+2<=0]]></condition>
<condition><![CDATA[i1-n<=0]]></condition>
<condition><![CDATA[-i1+1<=0]]></condition>
<condition><![CDATA[-i2+2<=0]]></condition>
</altarea>
<dependency>
<coordinate><![CDATA[i1]]></coordinate>
<coordinate><![CDATA[i2-1]]></coordinate>
</dependency>
</solution>
<solution num_altareas="1" group_id="1" or_part_id="0" statement_id="0" dimsolut="0">
<altarea num_conditions="5">
<condition><![CDATA[-i2+1<=0]]></condition>
<condition><![CDATA[-n+2<=0]]></condition>
<condition><![CDATA[i1-n<=0]]></condition>
<condition><![CDATA[-i1+2<=0]]></condition>
<condition><![CDATA[i2-1<=0]]></condition>
</altarea>
</solution>
<solution num_altareas="1" group_id="0" or_part_id="0" statement_id="0" dimsolut="0">
<altarea num_conditions="5">
<condition><![CDATA[-n+1<=0]]></condition>
<condition><![CDATA[-i2+1<=0]]></condition>
<condition><![CDATA[-i1+1<=0]]></condition>
<condition><![CDATA[i2-1<=0]]></condition>
<condition><![CDATA[i1-1<=0]]></condition>
</altarea>
</solution>
</input>
<input id="2" num_solutions="0"/>
</statement>
</or_part>
</group>
</loop>
</loop>
</algorithm>
</algograph>
Двумерная структура со скошенным параллелизмом
int accumSum(int** _src, int _nCol, int _nRow)
{
for (int rowId = 0; rowId < _nRow; ++rowId)
{
for (int colId = 0; colId < _nCol; ++colId)
{
_src[rowId][colId] += _src[rowId][colId == 0 ? colId : colId - 1];
_src[rowId][colId] += _src[rowId == 0 ? rowId : rowId - 1][colId];
}
}
return _src[_nRow - 1][_nCol - 1];
}
<?xml version="1.0" encoding="UTF-8"?>
<algograph version="0.0.1">
<algorithm num_ext_params="1" num_groups="2">
<ext_param name="n"/>
<group id="0" num_or_parts="1" num_oper="1">
<or_part id="0" num_and_parts="1">
<and_part id="0"><![CDATA[]]></and_part>
<statement id="0" num_inputs="1">
<input id="0" num_solutions="0"/>
</statement>
</or_part>
</group>
<loop>
<loop>
<group id="1" num_or_parts="1" num_oper="1">
<or_part id="0" num_and_parts="4">
<and_part id="0"><![CDATA[-i1<=-1]]></and_part>
<and_part id="1"><![CDATA[i1<=n]]></and_part>
<and_part id="2"><![CDATA[-i2<=-1]]></and_part>
<and_part id="3"><![CDATA[i2<=n]]></and_part>
<statement id="0" num_inputs="3">
<input id="0" num_solutions="0"/>
<input id="1" num_solutions="3">
<solution num_altareas="1" group_id="1" or_part_id="0" statement_id="0" dimsolut="2">
<altarea num_conditions="5">
<condition><![CDATA[i2-n<=0]]></condition>
<condition><![CDATA[-n+2<=0]]></condition>
<condition><![CDATA[i1-n<=0]]></condition>
<condition><![CDATA[-i1+1<=0]]></condition>
<condition><![CDATA[-i2+2<=0]]></condition>
</altarea>
<dependency>
<coordinate><![CDATA[i1]]></coordinate>
<coordinate><![CDATA[i2-1]]></coordinate>
</dependency>
</solution>
<solution num_altareas="1" group_id="1" or_part_id="0" statement_id="0" dimsolut="2">
<altarea num_conditions="5">
<condition><![CDATA[i2-n<=0]]></condition>
<condition><![CDATA[-n+2<=0]]></condition>
<condition><![CDATA[i1-n<=0]]></condition>
<condition><![CDATA[-i1+2<=0]]></condition>
<condition><![CDATA[-i2+1<=0]]></condition>
</altarea>
<dependency>
<coordinate><![CDATA[i1-1]]></coordinate>
<coordinate><![CDATA[i2]]></coordinate>
</dependency>
</solution>
<solution num_altareas="1" group_id="0" or_part_id="0" statement_id="0" dimsolut="0">
<altarea num_conditions="5">
<condition><![CDATA[-n+1<=0]]></condition>
<condition><![CDATA[-i2+1<=0]]></condition>
<condition><![CDATA[-i1+1<=0]]></condition>
<condition><![CDATA[i2-1<=0]]></condition>
<condition><![CDATA[i1-1<=0]]></condition>
</altarea>
</solution>
</input>
<input id="2" num_solutions="0"/>
</statement>
</or_part>
</group>
</loop>
</loop>
</algorithm>
</algograph>
Двумерная структура со скошенным параллелизмом и скошенной передачей данных
int accumSum(int** _src, int _nCol, int _nRow)
{
for (int rowId = 0; rowId < _nRow; ++rowId)
{
for (int colId = 0; colId < _nCol; ++colId)
{
_src[rowId][colId] += _src[(rowId == 0 && colId < 2) ? rowId : rowId - 1][(rowId != 0 && colId > 1) ? colId : colId - 2];
_src[rowId][colId] += _src[rowId == 0 ? rowId : rowId - 1][colId];
}
}
return _src[_nRow - 1][_nCol - 1];
}
<?xml version="1.0" encoding="UTF-8"?>
<algograph version="0.0.1">
<algorithm num_ext_params="1" num_groups="2">
<ext_param name="n"/>
<group id="0" num_or_parts="1" num_oper="1">
<or_part id="0" num_and_parts="1">
<and_part id="0"><![CDATA[]]></and_part>
<statement id="0" num_inputs="1">
<input id="0" num_solutions="0"/>
</statement>
</or_part>
</group>
<loop>
<loop>
<group id="1" num_or_parts="1" num_oper="1">
<or_part id="0" num_and_parts="4">
<and_part id="0"><![CDATA[-i1<=-1]]></and_part>
<and_part id="1"><![CDATA[i1<=n]]></and_part>
<and_part id="2"><![CDATA[-i2<=-1]]></and_part>
<and_part id="3"><![CDATA[i2<=n]]></and_part>
<statement id="0" num_inputs="3">
<input id="0" num_solutions="0"/>
<input id="1" num_solutions="3">
<solution num_altareas="1" group_id="1" or_part_id="0" statement_id="0" dimsolut="2">
<altarea num_conditions="5">
<condition><![CDATA[i2-n<=0]]></condition>
<condition><![CDATA[-n+2<=0]]></condition>
<condition><![CDATA[i1-n<=0]]></condition>
<condition><![CDATA[-i1+1<=0]]></condition>
<condition><![CDATA[-i2+2<=0]]></condition>
</altarea>
<dependency>
<coordinate><![CDATA[i1]]></coordinate>
<coordinate><![CDATA[i2-1]]></coordinate>
</dependency>
</solution>
<solution num_altareas="1" group_id="1" or_part_id="0" statement_id="0" dimsolut="2">
<altarea num_conditions="5">
<condition><![CDATA[i2-n<=0]]></condition>
<condition><![CDATA[-n+2<=0]]></condition>
<condition><![CDATA[i1-n<=0]]></condition>
<condition><![CDATA[-i1+3<=0]]></condition>
<condition><![CDATA[-i2+2<=0]]></condition>
</altarea>
<dependency>
<coordinate><![CDATA[i1-2]]></coordinate>
<coordinate><![CDATA[i2-1]]></coordinate>
</dependency>
</solution>
<solution num_altareas="1" group_id="0" or_part_id="0" statement_id="0" dimsolut="0">
<altarea num_conditions="5">
<condition><![CDATA[-n+1<=0]]></condition>
<condition><![CDATA[-i2+1<=0]]></condition>
<condition><![CDATA[-i1+1<=0]]></condition>
<condition><![CDATA[i2-1<=0]]></condition>
<condition><![CDATA[i1-n<=0]]></condition>
</altarea>
</solution>
</input>
<input id="2" num_solutions="0"/>
</statement>
</or_part>
</group>
</loop>
</loop>
</algorithm>
</algograph>
Двумерная структура с квадратным параллелизмом и массовыми рассылками по каждому измерению
int accumSum(int** _src, int _nCol, int _nRow)
{
for (int rowId = 0; rowId < _nRow; ++rowId)
{
for (int colId = 0; colId < _nCol; ++colId)
{
_src[rowId][colId] += _src[rowId][colId == 0 ? colId : colId - 1];
_src[rowId][colId] += _src[rowId == 0 ? rowId : rowId - 1][colId];
_src[rowId][colId] += _src[rowId][0];
_src[rowId][colId] += _src[0][colId];
}
}
return _src[_nRow - 1][_nCol - 1];
}
<?xml version="1.0" encoding="UTF-8"?>
<algograph version="0.0.1">
<algorithm num_ext_params="1" num_groups="2">
<ext_param name="n"/>
<group id="0" num_or_parts="1" num_oper="1">
<or_part id="0" num_and_parts="1">
<and_part id="0"><![CDATA[]]></and_part>
<statement id="0" num_inputs="1">
<input id="0" num_solutions="0"/>
</statement>
</or_part>
</group>
<loop>
<loop>
<group id="1" num_or_parts="1" num_oper="1">
<or_part id="0" num_and_parts="4">
<and_part id="0"><![CDATA[-i1<=-1]]></and_part>
<and_part id="1"><![CDATA[i1<=n]]></and_part>
<and_part id="2"><![CDATA[-i2<=-1]]></and_part>
<and_part id="3"><![CDATA[i2<=n]]></and_part>
<statement id="0" num_inputs="3">
<input id="0" num_solutions="0"/>
<input id="1" num_solutions="5">
<solution num_altareas="1" group_id="1" or_part_id="0" statement_id="0" dimsolut="2">
<altarea num_conditions="5">
<condition><![CDATA[i2-n<=0]]></condition>
<condition><![CDATA[-n+2<=0]]></condition>
<condition><![CDATA[i1-n<=0]]></condition>
<condition><![CDATA[-i1+1<=0]]></condition>
<condition><![CDATA[-i2+2<=0]]></condition>
</altarea>
<dependency>
<coordinate><![CDATA[i1]]></coordinate>
<coordinate><![CDATA[i2-1]]></coordinate>
</dependency>
</solution>
<solution num_altareas="1" group_id="1" or_part_id="0" statement_id="0" dimsolut="2">
<altarea num_conditions="5">
<condition><![CDATA[i2-n<=0]]></condition>
<condition><![CDATA[-n+2<=0]]></condition>
<condition><![CDATA[i1-n<=0]]></condition>
<condition><![CDATA[-i2+1<=0]]></condition>
<condition><![CDATA[-i1+2<=0]]></condition>
</altarea>
<dependency>
<coordinate><![CDATA[i1-1]]></coordinate>
<coordinate><![CDATA[i2]]></coordinate>
</dependency>
</solution>
<solution num_altareas="1" group_id="1" or_part_id="0" statement_id="0" dimsolut="2">
<altarea num_conditions="5">
<condition><![CDATA[i2-n<=0]]></condition>
<condition><![CDATA[-n+2<=0]]></condition>
<condition><![CDATA[i1-n<=0]]></condition>
<condition><![CDATA[-i1+1<=0]]></condition>
<condition><![CDATA[-i2+3<=0]]></condition>
</altarea>
<dependency>
<coordinate><![CDATA[i1]]></coordinate>
<coordinate><![CDATA[1]]></coordinate>
</dependency>
</solution>
<solution num_altareas="1" group_id="1" or_part_id="0" statement_id="0" dimsolut="2">
<altarea num_conditions="5">
<condition><![CDATA[i2-n<=0]]></condition>
<condition><![CDATA[-n+2<=0]]></condition>
<condition><![CDATA[i1-n<=0]]></condition>
<condition><![CDATA[-i2+1<=0]]></condition>
<condition><![CDATA[-i1+3<=0]]></condition>
</altarea>
<dependency>
<coordinate><![CDATA[1]]></coordinate>
<coordinate><![CDATA[i2]]></coordinate>
</dependency>
</solution>
<solution num_altareas="1" group_id="0" or_part_id="0" statement_id="0" dimsolut="0">
<altarea num_conditions="5">
<condition><![CDATA[-n+1<=0]]></condition>
<condition><![CDATA[-i2+1<=0]]></condition>
<condition><![CDATA[-i1+1<=0]]></condition>
<condition><![CDATA[i2-1<=0]]></condition>
<condition><![CDATA[i1-n<=0]]></condition>
</altarea>
</solution>
</input>
<input id="2" num_solutions="0"/>
</statement>
</or_part>
</group>
</loop>
</loop>
</algorithm>
</algograph>
Набор независимых последовательно-параллельных 2D-структур с массовой рассылкой данных в каждой
void accumSum(int*** _src, int _nCol, int _nRow, int _nLayer)
{
for (int layerId = 0; layerId < _nLayer; ++layerId)
{
for (int rowId = 0; rowId < _nRow; ++rowId)
{
for (int colId = 0; colId < _nCol; ++colId)
{
_src[layerId][rowId][colId] += _src[layerId][rowId == 0 ? rowId : rowId - 1][colId == 0 ? colId : 0];
_src[layerId][rowId][colId] += _src[layerId][rowId == 0 ? rowId : rowId - 1][colId];
}
}
}
}
<?xml version="1.0" encoding="UTF-8"?>
<algograph version="0.0.1">
<algorithm num_ext_params="2" num_groups="2">
<ext_param name="n"/>
<ext_param name="m"/>
<group id="0" num_or_parts="1" num_oper="1">
<or_part id="0" num_and_parts="1">
<and_part id="0"><![CDATA[]]></and_part>
<statement id="0" num_inputs="1">
<input id="0" num_solutions="0"/>
</statement>
</or_part>
</group>
<loop>
<loop>
<loop>
<group id="1" num_or_parts="1" num_oper="1">
<or_part id="0" num_and_parts="6">
<and_part id="0"><![CDATA[-i1<=-1]]></and_part>
<and_part id="1"><![CDATA[i1<=n]]></and_part>
<and_part id="2"><![CDATA[-i2<=-1]]></and_part>
<and_part id="3"><![CDATA[i2<=m]]></and_part>
<and_part id="4"><![CDATA[i3>=0]]></and_part>
<and_part id="5"><![CDATA[i3<=n-1]]></and_part>
<input id="0" num_solutions="0"/>
<input id="1" num_solutions="3">
<solution num_altareas="1" group_id="1" or_part_id="0" statement_id="0" dimsolut="3">
<altarea num_conditions="7">
<condition><![CDATA[-m+2<=0]]></condition>
<condition><![CDATA[i1-n<=0]]></condition>
<condition><![CDATA[i3-n+1<=0]]></condition>
<condition><![CDATA[-i2+2<=0]]></condition>
<condition><![CDATA[i2<=m]]></condition>
<condition><![CDATA[-i1+1<=0]]></condition>
<condition><![CDATA[-i3<=0]]></condition>
</altarea>
<dependency>
<coordinate><![CDATA[i1]]></coordinate>
<coordinate><![CDATA[i2-1]]></coordinate>
<coordinate><![CDATA[i3]]></coordinate>
</dependency>
</solution>
<solution num_altareas="1" group_id="1" or_part_id="0" statement_id="0" dimsolut="3">
<altarea num_conditions="7">
<condition><![CDATA[-m+2<=0]]></condition>
<condition><![CDATA[i1-n<=0]]></condition>
<condition><![CDATA[i3-n+1<=0]]></condition>
<condition><![CDATA[-i2+2<=0]]></condition>
<condition><![CDATA[i2<=m]]></condition>
<condition><![CDATA[-i1+1<=0]]></condition>
<condition><![CDATA[-i3<=0]]></condition>
</altarea>
<dependency>
<coordinate><![CDATA[1]]></coordinate>
<coordinate><![CDATA[i2-1]]></coordinate>
<coordinate><![CDATA[i3]]></coordinate>
</dependency>
</solution>
<solution num_altareas="1" group_id="0" or_part_id="0" statement_id="0" dimsolut="0">
<altarea num_conditions="6">
<condition><![CDATA[i2-1<=0]]></condition>
<condition><![CDATA[i2-1>=0]]></condition>
<condition><![CDATA[-i1+1<=0]]></condition>
<condition><![CDATA[-i3<=0]]></condition>
<condition><![CDATA[i1-n<=0]]></condition>
<condition><![CDATA[i3-n+1<=0]]></condition>
</altarea>
</solution>
</input>
<input id="2" num_solutions="0"/>
</statement>
</or_part>
</group>
</loop>
</loop>
</loop>
</algorithm>
</algograph>
Набор одномерных последовательных структур, независимых между собой - 3D вариант
void accumSum(int*** _src, int _nCol, int _nRow, int _nLayer)
{
for (int layerId = 0; layerId < _nLayer; ++layerId)
{
for (int rowId = 0; rowId < _nRow; ++rowId)
{
for (int colId = 0; colId < _nCol; ++colId)
{
_src[layerId][rowId][colId] += _src[layerId][rowId == 0 ? rowId : rowId - 1][colId];
}
}
}
}
<?xml version="1.0" encoding="UTF-8"?>
<algograph version="0.0.1">
<algorithm num_ext_params="2" num_groups="2">
<ext_param name="n"/>
<ext_param name="m"/>
<group id="0" num_or_parts="1" num_oper="1">
<or_part id="0" num_and_parts="1">
<and_part id="0"><![CDATA[]]></and_part>
<statement id="0" num_inputs="1">
<input id="0" num_solutions="0"/>
</statement>
</or_part>
</group>
<loop>
<loop>
<loop>
<group id="1" num_or_parts="1" num_oper="1">
<or_part id="0" num_and_parts="6">
<and_part id="0"><![CDATA[-i1<=-1]]></and_part>
<and_part id="1"><![CDATA[i1<=n]]></and_part>
<and_part id="2"><![CDATA[-i2<=-1]]></and_part>
<and_part id="3"><![CDATA[i2<=m]]></and_part>
<and_part id="4"><![CDATA[i3>=0]]></and_part>
<and_part id="5"><![CDATA[i3<=n-1]]></and_part>
<statement id="0" num_inputs="3">
<input id="0" num_solutions="0"/>
<input id="1" num_solutions="2">
<solution num_altareas="1" group_id="1" or_part_id="0" statement_id="0" dimsolut="3">
<altarea num_conditions="7">
<condition><![CDATA[-m+2<=0]]></condition>
<condition><![CDATA[i1-n<=0]]></condition>
<condition><![CDATA[i3-n+1<=0]]></condition>
<condition><![CDATA[-i2+1<=0]]></condition>
<condition><![CDATA[i2+1<=m]]></condition>
<condition><![CDATA[-i1+1<=0]]></condition>
<condition><![CDATA[-i3<=0]]></condition>
</altarea>
<dependency>
<coordinate><![CDATA[i1]]></coordinate>
<coordinate><![CDATA[i2+1]]></coordinate>
<coordinate><![CDATA[i3]]></coordinate>
</dependency>
</solution>
<solution num_altareas="1" group_id="0" or_part_id="0" statement_id="0" dimsolut="0">
<altarea num_conditions="6">
<condition><![CDATA[i2-m<=0]]></condition>
<condition><![CDATA[i2-m>=0]]></condition>
<condition><![CDATA[-i1+1<=0]]></condition>
<condition><![CDATA[-i3<=0]]></condition>
<condition><![CDATA[i1-n<=0]]></condition>
<condition><![CDATA[i3-n+1<=0]]></condition>
</altarea>
</solution>
</input>
<input id="2" num_solutions="0"/>
</statement>
</or_part>
</group>
</loop>
</loop>
</loop>
</algorithm>
</algograph>
Пример массовой рассылки данных в 2D-структуре
Искуственный пример, демонстрирующий элементы визуализации
Последовательный набор 3D-структур, содержащих скошенный параллелизм
Пример массовой рассылки данных в 3D-структуре
Пример 3D-структуры с различными видами скошенного параллелизма
Последовательно-параллельное перемножение матриц
