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Zoltan2
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00001 // @HEADER 00002 // 00003 // *********************************************************************** 00004 // 00005 // Zoltan2: A package of combinatorial algorithms for scientific computing 00006 // Copyright 2012 Sandia Corporation 00007 // 00008 // Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation, 00009 // the U.S. Government retains certain rights in this software. 00010 // 00011 // Redistribution and use in source and binary forms, with or without 00012 // modification, are permitted provided that the following conditions are 00013 // met: 00014 // 00015 // 1. Redistributions of source code must retain the above copyright 00016 // notice, this list of conditions and the following disclaimer. 00017 // 00018 // 2. Redistributions in binary form must reproduce the above copyright 00019 // notice, this list of conditions and the following disclaimer in the 00020 // documentation and/or other materials provided with the distribution. 00021 // 00022 // 3. Neither the name of the Corporation nor the names of the 00023 // contributors may be used to endorse or promote products derived from 00024 // this software without specific prior written permission. 00025 // 00026 // THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY 00027 // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 00028 // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 00029 // PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE 00030 // CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, 00031 // EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, 00032 // PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00033 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00034 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00035 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00036 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00037 // 00038 // Questions? Contact Karen Devine (kddevin@sandia.gov) 00039 // Erik Boman (egboman@sandia.gov) 00040 // Siva Rajamanickam (srajama@sandia.gov) 00041 // 00042 // *********************************************************************** 00043 // 00044 // @HEADER 00045 00050 #ifndef _ZOLTAN2_MultiJagged_ReductionOps_HPP_ 00051 #define _ZOLTAN2_MultiJagged_ReductionOps_HPP_ 00052 00053 #include <Teuchos_ReductionOp.hpp> 00054 00055 namespace Teuchos{ 00056 template <typename Ordinal, typename T> 00057 class MultiJaggedCombinedReductionOp : public ValueTypeReductionOp<Ordinal,T> 00058 { 00059 private: 00060 Ordinal numSum_0, numMin_1, numMin_2; 00061 std::vector <Ordinal> *partVector; 00062 Ordinal vectorBegin; 00063 Ordinal k; 00064 int reductionType; 00065 00066 public: 00069 MultiJaggedCombinedReductionOp ():numSum_0(0), numMin_1(0), 00070 numMin_2(0), k(0), partVector(NULL), vectorBegin(0), reductionType(0){} 00071 00078 MultiJaggedCombinedReductionOp (Ordinal nsum, Ordinal nmin1, Ordinal nmin2, 00079 Ordinal k_): 00080 numSum_0(nsum), numMin_1(nmin1), numMin_2(nmin2), partVector(NULL), 00081 vectorBegin(0), k(k_), reductionType(0){} 00082 00083 00084 MultiJaggedCombinedReductionOp (std::vector <Ordinal> *pVector, Ordinal vBegin, 00085 Ordinal k_): 00086 numSum_0(0), numMin_1(0), numMin_2(0), partVector(pVector), 00087 vectorBegin(vBegin), k(k_), reductionType(1){} 00088 00089 00092 void reduce( const Ordinal count, const T inBuffer[], T inoutBuffer[]) const 00093 { 00094 if (reductionType == 0){ 00095 Ordinal next=0; 00096 for(Ordinal ii = 0; ii < k ; ++ii){ 00097 for (Ordinal i=0; i < numSum_0; i++, next++) 00098 inoutBuffer[next] += inBuffer[next]; 00099 00100 for (Ordinal i=0; i < numMin_1; i++, next++) 00101 if (inoutBuffer[next] < inBuffer[next]) 00102 inoutBuffer[next] = inBuffer[next]; 00103 00104 for (Ordinal i=0; i < numMin_2; i++, next++) 00105 if (inoutBuffer[next] > inBuffer[next]) 00106 inoutBuffer[next] = inBuffer[next]; 00107 } 00108 } 00109 else { 00110 Ordinal next=0; 00111 for(Ordinal ii = 0; ii < k ; ++ii){ 00112 Ordinal partPartition = (*partVector)[ii + vectorBegin]; 00113 Ordinal tnumSum_ = 2 * partPartition - 1; 00114 Ordinal tnumMin_1 = partPartition - 1; 00115 Ordinal tnumMin_2 = tnumMin_1 ; 00116 for (Ordinal i=0; i < tnumSum_; i++, next++) 00117 inoutBuffer[next] += inBuffer[next]; 00118 00119 for (Ordinal i=0; i < tnumMin_1; i++, next++) 00120 if (inoutBuffer[next] < inBuffer[next]) 00121 inoutBuffer[next] = inBuffer[next]; 00122 00123 for (Ordinal i=0; i < tnumMin_2; i++, next++) 00124 if (inoutBuffer[next] > inBuffer[next]) 00125 inoutBuffer[next] = inBuffer[next]; 00126 } 00127 } 00128 } 00129 }; 00130 00131 00132 template <typename Ordinal, typename T> 00133 class MultiJaggedCombinedMinMaxTotalReductionOp : 00134 public ValueTypeReductionOp<Ordinal,T> 00135 { 00136 private: 00137 Ordinal numMin, numMax, numTotal; 00138 00139 public: 00142 MultiJaggedCombinedMinMaxTotalReductionOp ():numMin(0), numMax(0), numTotal(0) 00143 {} 00144 00151 MultiJaggedCombinedMinMaxTotalReductionOp (Ordinal nmin, Ordinal nmax, Ordinal 00152 nTotal): numMin(nmin), numMax(nmax), numTotal(nTotal){} 00153 00156 void reduce( const Ordinal count, const T inBuffer[], T inoutBuffer[]) const 00157 { 00158 Ordinal next=0; 00159 00160 for (Ordinal i=0; i < numMin; i++, next++) 00161 if (inoutBuffer[next] > inBuffer[next]) 00162 inoutBuffer[next] = inBuffer[next]; 00163 00164 for (Ordinal i=0; i < numMax; i++, next++) 00165 if (inoutBuffer[next] < inBuffer[next]) 00166 inoutBuffer[next] = inBuffer[next]; 00167 00168 00169 for (Ordinal i=0; i < numTotal; i++, next++) 00170 inoutBuffer[next] += inBuffer[next]; 00171 } 00172 }; 00173 } // namespace Teuchos 00174 00175 #endif //_ZOLTAN2_MultiJagged_ReductionOps_HPP_
1.7.6.1