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Faster linalg on CG optimised against staggered
Sum overhead is bigger for staggered
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@ -70,7 +70,6 @@ class ConjugateGradient : public OperatorFunction<Field> {
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Linop.HermOpAndNorm(psi, mmp, d, b);
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r = src - mmp;
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p = r;
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@ -97,6 +96,9 @@ class ConjugateGradient : public OperatorFunction<Field> {
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<< "ConjugateGradient: k=0 residual " << cp << " target " << rsq << std::endl;
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GridStopWatch LinalgTimer;
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GridStopWatch InnerTimer;
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GridStopWatch AxpyNormTimer;
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GridStopWatch LinearCombTimer;
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GridStopWatch MatrixTimer;
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GridStopWatch SolverTimer;
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@ -106,30 +108,32 @@ class ConjugateGradient : public OperatorFunction<Field> {
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c = cp;
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MatrixTimer.Start();
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Linop.HermOpAndNorm(p, mmp, d, qq);
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Linop.HermOp(p, mmp);
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MatrixTimer.Stop();
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LinalgTimer.Start();
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// AA
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// RealD qqck = norm2(mmp);
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// ComplexD dck = innerProduct(p,mmp);
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InnerTimer.Start();
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ComplexD dc = innerProduct(p,mmp);
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InnerTimer.Stop();
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d = dc.real();
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a = c / d;
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b_pred = a * (a * qq - d) / c;
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AxpyNormTimer.Start();
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cp = axpy_norm(r, -a, mmp, r);
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AxpyNormTimer.Stop();
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b = cp / c;
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// Fuse these loops ; should be really easy
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psi = a * p + psi;
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p = p * b + r;
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LinearCombTimer.Start();
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parallel_for(int ss=0;ss<src._grid->oSites();ss++){
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vstream(psi[ss], a * p[ss] + psi[ss]);
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vstream(p [ss], b * p[ss] + r[ss]);
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}
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LinearCombTimer.Stop();
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LinalgTimer.Stop();
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std::cout << GridLogIterative << "ConjugateGradient: Iteration " << k
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<< " residual " << cp << " target " << rsq << std::endl;
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std::cout << GridLogDebug << "a = "<< a << " b_pred = "<< b_pred << " b = "<< b << std::endl;
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std::cout << GridLogDebug << "qq = "<< qq << " d = "<< d << " c = "<< c << std::endl;
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// Stopping condition
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if (cp <= rsq) {
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@ -150,6 +154,9 @@ class ConjugateGradient : public OperatorFunction<Field> {
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std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
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std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
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std::cout << GridLogMessage << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl;
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std::cout << GridLogMessage << "\tInner " << InnerTimer.Elapsed() <<std::endl;
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std::cout << GridLogMessage << "\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl;
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std::cout << GridLogMessage << "\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
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if (ErrorOnNoConverge) assert(true_residual / Tolerance < 10000.0);
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