/[escript]/trunk/esys2/escript/src/Data/DataAlgorithm.h
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revision 97 by jgs, Tue Dec 14 05:39:33 2004 UTC revision 147 by jgs, Fri Aug 12 01:45:47 2005 UTC
# Line 25  Line 25 
25  #include <algorithm>  #include <algorithm>
26  #include <math.h>  #include <math.h>
27  #include <limits>  #include <limits>
28    #include <vector>
29    
30  namespace escript {  namespace escript {
31    
32  /**  /**
33     \brief     \brief
34     Return the maximum value.     Adapt binary algorithms so they may be used in DataArrayView reduction operations.
35    
36     Description:     Description:
37     Return the maximum value.     This functor adapts the given BinaryFunction operation by starting with the
38       given inital value applying this operation to successive values, storing the
39       rolling result in m_currentValue - which can be accessed or reset by getResult
40       and resetResult respectively.
41    */
42    template <class BinaryFunction>
43    class DataAlgorithmAdapter {
44      public:
45        DataAlgorithmAdapter(double initialValue):
46          m_initialValue(initialValue),
47          m_currentValue(initialValue)
48        {
49        }
50        DataAlgorithmAdapter(const DataAlgorithmAdapter& other):
51          m_initialValue(other.m_initialValue),
52          m_currentValue(other.m_initialValue),
53          operation(other.operation)
54        {
55        }
56        inline void operator()(double value)
57        {
58          m_currentValue=operation(m_currentValue,value);
59          return;
60        }
61        inline void resetResult()
62        {
63          m_currentValue=m_initialValue;
64        }
65        inline double getResult() const
66        {
67          return m_currentValue;
68        }
69      private:
70        //
71        // the initial operation value
72        double m_initialValue;
73        //
74        // the current operation value
75        double m_currentValue;
76        //
77        // The operation to perform
78        BinaryFunction operation;
79    };
80    
81    /**
82       \brief
83       Return the maximum value of the two given values.
84  */  */
85  struct FMax : public std::binary_function<double,double,double>  struct FMax : public std::binary_function<double,double,double>
86  {  {
# Line 45  struct FMax : public std::binary_functio Line 92  struct FMax : public std::binary_functio
92    
93  /**  /**
94     \brief     \brief
95     Return the minimum value.     Return the minimum value of the two given values.
   
    Description:  
    Return the minimum value.  
96  */  */
97  struct FMin : public std::binary_function<double,double,double>  struct FMin : public std::binary_function<double,double,double>
98  {  {
# Line 60  struct FMin : public std::binary_functio Line 104  struct FMin : public std::binary_functio
104    
105  /**  /**
106     \brief     \brief
107     Return the absolute maximum value.     Return the absolute maximum value of the two given values.
   
    Description:  
    Return the absolute maximum value.  
108  */  */
109  struct AbsMax : public std::binary_function<double,double,double>  struct AbsMax : public std::binary_function<double,double,double>
110  {  {
# Line 75  struct AbsMax : public std::binary_funct Line 116  struct AbsMax : public std::binary_funct
116    
117  /**  /**
118     \brief     \brief
119     Adapt algorithms so they may be used by Data.     Return the absolute minimum value of the two given values.
120    */
121    struct AbsMin : public std::binary_function<double,double,double>
122    {
123      inline double operator()(double x, double y) const
124      {
125        return std::min(fabs(x),fabs(y));
126      }
127    };
128    
129     Description:  /**
130     Adapt algorithms so they may be used by Data. The functor     \brief
131     maintains state, ie the currentValue retuned by the operation.     Return the length between the two given values.
132  */  */
133  template <class BinaryFunction>  struct Length : public std::binary_function<double,double,double>
134  class DataAlgorithmAdapter {  {
135   public:    inline double operator()(double x, double y) const
136      DataAlgorithmAdapter(double initialValue):    {
137        m_currentValue(initialValue)      return std::sqrt(std::pow(x,2)+std::pow(y,2));
138      {}    }
139      inline void operator()(double value)  };
140      {  
141        m_currentValue=operation(m_currentValue,value);  /**
142        return;     \brief
143      }     Return the trace of the two given values.
144      inline double getResult() const  */
145      {  struct Trace : public std::binary_function<double,double,double>
146        return m_currentValue;  {
147      }    inline double operator()(double x, double y) const
148   private:    {
149      //      return x+y;
150      // the current operation value    }
     double m_currentValue;  
     //  
     // The operation to perform  
     BinaryFunction operation;  
151  };  };
152    
153  /**  /**
154     \brief     \brief
155     Perform the given operation upon all Data elements and return a single     Perform the given operation upon all values in all data-points in the
156     result.     given Data object and return the final result.
157    
158     Description:     Calls DataArrayView::reductionOp
    Perform the given operation upon all Data elements and return a single  
    result.  
159  */  */
160  template <class UnaryFunction>  template <class BinaryFunction>
161  inline  inline
162  double  double
163  algorithm(DataExpanded& data,  algorithm(DataExpanded& data,
164            UnaryFunction operation)            BinaryFunction operation,
165          double initial_value)
166  {  {
167    int i,j;    int i,j;
168    DataArrayView::ValueType::size_type numDPPSample=data.getNumDPPSample();    int numDPPSample=data.getNumDPPSample();
169    DataArrayView::ValueType::size_type numSamples=data.getNumSamples();    int numSamples=data.getNumSamples();
170    double resultLocal=0;    int resultVectorLength=numDPPSample*numSamples;
171  #pragma omp parallel private(resultLocal)    std::vector<double> resultVector(resultVectorLength);
172    {    DataArrayView dataView=data.getPointDataView();
173  #pragma omp for private(i,j) schedule(static)    // calculate the reduction operation value for each data point
174      for (i=0;i<numSamples;i++) {    // storing the result for each data-point in successive entries
175        for (j=0;j<numDPPSample;j++) {    // in resultVector
176      resultLocal=data.getPointDataView().algorithm(data.getPointOffset(i,j), operation);    #pragma omp parallel for private(i,j) schedule(static)
177  #pragma omp critical (algorithm)    for (i=0;i<numSamples;i++) {
178      operation(resultLocal);      for (j=0;j<numDPPSample;j++) {
179        }        resultVector[j*numSamples+i]=dataView.reductionOp(data.getPointOffset(i,j),operation,initial_value);
180      }      }
181    }    }
182    return operation.getResult();    // now calculate the reduction operation value across the results
183      // for each data-point
184      double current_value=initial_value;
185      for (int l=0;l<resultVectorLength;l++) {
186        current_value=operation(current_value,resultVector[l]);
187      }
188      return current_value;
189  }  }
190    
191  template <class UnaryFunction>  template <class BinaryFunction>
192  inline  inline
193  double  double
194  algorithm(DataTagged& data,  algorithm(DataTagged& data,
195            UnaryFunction operation)            BinaryFunction operation,
196          double initial_value)
197  {  {
   //  
   // perform the operation on each tagged value  
198    const DataTagged::DataMapType& lookup=data.getTagLookup();    const DataTagged::DataMapType& lookup=data.getTagLookup();
199    DataTagged::DataMapType::const_iterator i;    DataTagged::DataMapType::const_iterator i;
200    DataTagged::DataMapType::const_iterator lookupEnd=lookup.end();    DataTagged::DataMapType::const_iterator lookupEnd=lookup.end();
201    DataArrayView& dataView=data.getPointDataView();    DataArrayView& dataView=data.getPointDataView();
202      std::vector<double> resultVector;
203      int resultVectorLength;
204      // perform the operation on each tagged value
205    for (i=lookup.begin();i!=lookupEnd;i++) {    for (i=lookup.begin();i!=lookupEnd;i++) {
206      operation(dataView.algorithm(i->second,operation));      resultVector.push_back(dataView.reductionOp(i->second,operation,initial_value));
207      }
208      // perform the operation on the default value
209      resultVector.push_back(data.getDefaultValue().reductionOp(operation,initial_value));
210      // now calculate the reduction operation value across the results
211      // for each tagged value
212      resultVectorLength=resultVector.size();
213      double current_value=initial_value;
214      for (int l=0;l<resultVectorLength;l++) {
215        current_value=operation(current_value,resultVector[l]);
216    }    }
217    //    return current_value;
   // finally perform the operation on the default value  
   operation(data.getDefaultValue().algorithm(operation));  
   return operation.getResult();  
218  }  }
219    
220  template <class UnaryFunction>  template <class BinaryFunction>
221  inline  inline
222  double  double
223  algorithm(DataConstant& data,  algorithm(DataConstant& data,
224            UnaryFunction operation)            BinaryFunction operation,
225          double initial_value)
226  {  {
227    return data.getPointDataView().algorithm(operation);    return data.getPointDataView().reductionOp(operation,initial_value);
228  }  }
229    
230  /**  /**
231     \brief     \brief
232     Perform the given data point reduction operation upon all data points     Perform the given data-point reduction operation on all data-points
233     in data, storing results in corresponding elements of result.     in data, storing results in corresponding data-points of result.
234    
235     Objects data and result must be of the same type, and have the same number     Objects data and result must be of the same type, and have the same number
236     of samples and number of data points per sample, but where data has data     of data points, but where data has data points of rank n, result must have
237     points of rank n, result must have data points of rank 0.     data points of rank 0.
238    
239     Calls DataArrayView::dp_algorithm.     Calls DataArrayView::reductionOp
240  */  */
241  template <class UnaryFunction>  template <class BinaryFunction>
242  inline  inline
243  void  void
244  dp_algorithm(DataExpanded& result,  dp_algorithm(DataExpanded& data,
245               DataExpanded& data,               DataExpanded& result,
246               UnaryFunction operation)               BinaryFunction operation,
247             double initial_value)
248  {  {
249    int i,j;    int i,j;
250    DataArrayView::ValueType::size_type numDPPSample=data.getNumDPPSample();    int numSamples=data.getNumSamples();
251    DataArrayView::ValueType::size_type numSamples=data.getNumSamples();    int numDPPSample=data.getNumDPPSample();
252    {    DataArrayView dataView=data.getPointDataView();
253  #pragma omp for private(i,j) schedule(static)    DataArrayView resultView=result.getPointDataView();
254      for (i=0;i<numSamples;i++) {    // perform the operation on each data-point and assign
255        for (j=0;j<numDPPSample;j++) {    // this to the corresponding element in result
256          // assign this to corresponding element in result    #pragma omp parallel for private(i,j) schedule(static)
257      data.getPointDataView().dp_algorithm(data.getPointOffset(i,j),operation);    for (i=0;i<numSamples;i++) {
258  #pragma omp critical (dp_algorithm)      for (j=0;j<numDPPSample;j++) {
259        }        resultView.getData(result.getPointOffset(i,j)) =
260            dataView.reductionOp(data.getPointOffset(i,j),operation,initial_value);
261      }      }
262    }    }
263  }  }
264    
265  template <class UnaryFunction>  template <class BinaryFunction>
266  inline  inline
267  void  void
268  dp_algorithm(DataTagged& result,  dp_algorithm(DataTagged& data,
269               DataTagged& data,               DataTagged& result,
270               UnaryFunction operation)               BinaryFunction operation,
271             double initial_value)
272  {  {
   //  
   // perform the operation on each tagged value  
273    const DataTagged::DataMapType& lookup=data.getTagLookup();    const DataTagged::DataMapType& lookup=data.getTagLookup();
274    DataTagged::DataMapType::const_iterator i;    DataTagged::DataMapType::const_iterator i;
275    DataTagged::DataMapType::const_iterator lookupEnd=lookup.end();    DataTagged::DataMapType::const_iterator lookupEnd=lookup.end();
276      DataArrayView dataView=data.getPointDataView();
277      DataArrayView resultView=result.getPointDataView();
278      // perform the operation on each tagged data value
279      // and assign this to the corresponding element in result
280    for (i=lookup.begin();i!=lookupEnd;i++) {    for (i=lookup.begin();i!=lookupEnd;i++) {
281      // assign this to corresponding element in result      resultView.getData(i->second) =
282      data.getPointDataView().dp_algorithm(i->second,operation);        dataView.reductionOp(i->second,operation,initial_value);
283    }    }
284    //    // perform the operation on the default data value
285    // finally perform the operation on the default value    // and assign this to the default element in result
286    // assign this to corresponding element in result    resultView.getData(0) =
287    data.getDefaultValue().dp_algorithm(operation);      data.getDefaultValue().reductionOp(operation,initial_value);
288  }  }
289    
290  template <class UnaryFunction>  template <class BinaryFunction>
291  inline  inline
292  void  void
293  dp_algorithm(DataConstant& result,  dp_algorithm(DataConstant& data,
294               DataConstant& data,               DataConstant& result,
295               UnaryFunction operation)               BinaryFunction operation,
296  {           double initial_value)
297    //result.getPointDataView().getData()  {
298    // assign this to corresponding element in result    // perform the operation on the data value
299    data.getPointDataView().dp_algorithm(operation);    // and assign this to the element in result
300      result.getPointDataView().getData(0) =
301        data.getPointDataView().reductionOp(operation,initial_value);
302  }  }
303    
304  } // end of namespace  } // end of namespace
305    
306  #endif  #endif

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