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Hadrons: contractor performance fix
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@ -59,6 +59,7 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
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#define parallel_for_internal PARALLEL_FOR_LOOP_INTERN for
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#define parallel_for_nest2 PARALLEL_NESTED_LOOP2 for
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#define parallel_for_nest5 PARALLEL_NESTED_LOOP5 for
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#define parallel_critical PARALLEL_CRITICAL
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namespace Grid {
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@ -167,52 +167,39 @@ public:
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template <typename C, typename MatLeft, typename MatRight>
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static inline void accTrMul(C &acc, const MatLeft &a, const MatRight &b)
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{
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int nThreads = GridThread::GetThreads();
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std::vector<C> tacc(nThreads, 0.);
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if ((MatLeft::Options == Eigen::RowMajor) and
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(MatRight::Options == Eigen::ColMajor))
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{
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parallel_for (int thr = 0; thr < nThreads; ++thr)
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parallel_for (unsigned int r = 0; r < a.rows(); ++r)
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{
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int rt, nr;
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GridThread::GetWork(a.rows(), thr, nr, rt);
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for (unsigned int r = rt; r < nr + rt; ++r)
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{
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C tmp;
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#ifdef USE_MKL
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C tmp;
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dotuRow(tmp, r, a, b);
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tacc[thr] += tmp;
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dotuRow(tmp, r, a, b);
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#else
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tacc[thr] += a.row(r).conjugate().dot(b.col(r));
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tmp = a.row(r).conjugate().dot(b.col(r));
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#endif
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parallel_critical
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{
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acc += tmp;
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}
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}
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}
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else
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{
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parallel_for (int thr = 0; thr < nThreads; ++thr)
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parallel_for (unsigned int c = 0; c < a.cols(); ++c)
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{
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int ct, nc;
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GridThread::GetWork(a.cols(), thr, nc, ct);
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for (unsigned int c = ct; c < nc + ct; ++c)
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{
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#ifdef USE_MKL
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C tmp;
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dotuCol(tmp, c, a, b);
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tacc[thr] += tmp;
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C tmp;
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#ifdef USE_MKL
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dotuCol(tmp, c, a, b);
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#else
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tacc[thr] += a.col(c).conjugate().dot(b.row(c));
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tmp = a.col(c).conjugate().dot(b.row(c));
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#endif
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parallel_critical
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{
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acc += tmp;
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}
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}
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}
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for (int thr = 0; thr < nThreads; ++thr)
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{
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acc += tacc[thr];
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}
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}
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template <typename MatLeft, typename MatRight>
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@ -199,50 +199,42 @@ void fullTrBenchmark(const unsigned int ni, const unsigned int nj, const unsigne
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trBenchmark("Naive loop rows first", left, right, ref,
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[](ComplexD &res, const MatLeft &a, const MatRight &b)
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{
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int nThreads = GridThread::GetThreads();
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std::vector<ComplexD> tres(nThreads, 0.);
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auto nr = a.rows(), nc = a.cols();
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res = 0.;
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parallel_for (int thr = 0; thr < nThreads; ++thr)
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parallel_for (unsigned int i = 0; i < nr; ++i)
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{
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int rt, nr;
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auto nc = a.cols();
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ComplexD tmp = 0.;
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GridThread::GetWork(a.rows(), thr, nr, rt);
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for (unsigned int i = rt; i < nr + rt; ++i)
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for (unsigned int j = 0; j < nc; ++j)
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{
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tres[thr] += a(i, j)*b(j, i);
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tmp += a(i, j)*b(j, i);
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}
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parallel_critical
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{
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res += tmp;
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}
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}
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for (int thr = 0; thr < nThreads; ++thr)
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{
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res += tres[thr];
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}
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});
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trBenchmark("Naive loop cols first", left, right, ref,
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[](ComplexD &res, const MatLeft &a, const MatRight &b)
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{
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int nThreads = GridThread::GetThreads();
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std::vector<ComplexD> tres(nThreads, 0.);
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auto nr = a.rows(), nc = a.cols();
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res = 0.;
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parallel_for (int thr = 0; thr < nThreads; ++thr)
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parallel_for (unsigned int j = 0; j < nc; ++j)
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{
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int ct, nc;
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auto nr = a.rows();
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ComplexD tmp = 0.;
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GridThread::GetWork(a.cols(), thr, nc, ct);
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for (unsigned int j = ct; j < nc + ct; ++j)
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for (unsigned int i = 0; i < nr; ++i)
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{
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tres[thr] += a(i, j)*b(j, i);
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tmp += a(i, j)*b(j, i);
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}
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parallel_critical
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{
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res += tmp;
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}
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}
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for (int thr = 0; thr < nThreads; ++thr)
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{
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res += tres[thr];
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}
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});
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trBenchmark("Eigen tr(A*B)", left, right, ref,
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[](ComplexD &res, const MatLeft &a, const MatRight &b)
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@ -252,46 +244,32 @@ void fullTrBenchmark(const unsigned int ni, const unsigned int nj, const unsigne
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trBenchmark("Eigen row-wise dot", left, right, ref,
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[](ComplexD &res, const MatLeft &a, const MatRight &b)
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{
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int nThreads = GridThread::GetThreads();
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std::vector<ComplexD> tres(nThreads, 0.);
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res = 0.;
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parallel_for (int thr = 0; thr < nThreads; ++thr)
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parallel_for (unsigned int r = 0; r < a.rows(); ++r)
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{
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int rt, nr;
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ComplexD tmp;
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GridThread::GetWork(a.rows(), thr, nr, rt);
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for (unsigned int i = rt; i < nr + rt; ++i)
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tmp = a.row(r).conjugate().dot(b.col(r));
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parallel_critical
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{
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tres[thr] += a.row(i).conjugate().dot(b.col(i));
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res += tmp;
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}
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}
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for (int thr = 0; thr < nThreads; ++thr)
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{
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res += tres[thr];
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}
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});
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trBenchmark("Eigen col-wise dot", left, right, ref,
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[](ComplexD &res, const MatLeft &a, const MatRight &b)
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{
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int nThreads = GridThread::GetThreads();
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std::vector<ComplexD> tres(nThreads, 0.);
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res = 0.;
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parallel_for (int thr = 0; thr < nThreads; ++thr)
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parallel_for (unsigned int c = 0; c < a.cols(); ++c)
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{
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int ct, nc;
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ComplexD tmp;
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GridThread::GetWork(a.cols(), thr, nc, ct);
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for (unsigned int j = ct; j < nc + ct; ++j)
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tmp = a.col(c).conjugate().dot(b.row(c));
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parallel_critical
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{
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tres[thr] += a.col(j).conjugate().dot(b.row(j));
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res += tmp;
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}
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}
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for (int thr = 0; thr < nThreads; ++thr)
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{
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res += tres[thr];
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}
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});
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trBenchmark("Eigen Hadamard", left, right, ref,
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[](ComplexD &res, const MatLeft &a, const MatRight &b)
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@ -302,50 +280,32 @@ void fullTrBenchmark(const unsigned int ni, const unsigned int nj, const unsigne
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trBenchmark("MKL row-wise zdotu", left, right, ref,
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[](ComplexD &res, const MatLeft &a, const MatRight &b)
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{
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int nThreads = GridThread::GetThreads();
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std::vector<ComplexD> tres(nThreads, 0.);
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res = 0.;
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parallel_for (int thr = 0; thr < nThreads; ++thr)
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parallel_for (unsigned int r = 0; r < a.rows(); ++r)
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{
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ComplexD tmp;
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int rt, nr;
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GridThread::GetWork(a.rows(), thr, nr, rt);
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for (unsigned int i = rt; i < nr + rt; ++i)
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zdotuRow(tmp, r, a, b);
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parallel_critical
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{
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zdotuRow(tmp, i, a, b);
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tres[thr] += tmp;
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res += tmp;
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}
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}
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for (int thr = 0; thr < nThreads; ++thr)
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{
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res += tres[thr];
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}
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});
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trBenchmark("MKL col-wise zdotu", left, right, ref,
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[](ComplexD &res, const MatLeft &a, const MatRight &b)
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{
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int nThreads = GridThread::GetThreads();
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std::vector<ComplexD> tres(nThreads, 0.);
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res = 0.;
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parallel_for (int thr = 0; thr < nThreads; ++thr)
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parallel_for (unsigned int c = 0; c < a.cols(); ++c)
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{
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ComplexD tmp;
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int ct, nc;
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GridThread::GetWork(a.cols(), thr, nc, ct);
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for (unsigned int j = ct; j < nc + ct; ++j)
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zdotuCol(tmp, c, a, b);
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parallel_critical
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{
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zdotuCol(tmp, j, a, b);
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tres[thr] += tmp;
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res += tmp;
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}
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}
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for (int thr = 0; thr < nThreads; ++thr)
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{
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res += tres[thr];
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}
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});
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#endif
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BARRIER();
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