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<div id="version" align=right><b>petsc-3.14.5 2021-03-03</b></div>
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<A NAME="KSPPIPECG2"><H1>KSPPIPECG2</H1></A>
Pipelined conjugate gradient method with a single non-blocking allreduce per two iterations. This method has only a single non-blocking reduction per two iterations, compared to 2 blocking for standard CG. The
non-blocking reduction is overlapped by two matrix-vector products and two preconditioner applications.
<P>
<P>
<H3><FONT COLOR="#CC3333">Notes</FONT></H3>
MPI configuration may be necessary for reductions to make asynchronous progress, which is important for performance of pipelined methods.
See the FAQ on the PETSc website for details.
<P>
<H3><FONT COLOR="#CC3333">Contributed by</FONT></H3>
Manasi Tiwari, Computational and Data Sciences, Indian Institute of Science, Bangalore
<P>
<H3><FONT COLOR="#CC3333">Reference</FONT></H3>
Manasi Tiwari and Sathish Vadhiyar, "Pipelined Conjugate Gradient Methods for Distributed Memory Systems",
Submitted to International Conference on High Performance Computing, Data and Analytics 2020.
<P>
<H3><FONT COLOR="#CC3333">See Also</FONT></H3>
<A HREF="../KSP/KSPCreate.html#KSPCreate">KSPCreate</A>(), <A HREF="../KSP/KSPSetType.html#KSPSetType">KSPSetType</A>(), <A HREF="../KSP/KSPCG.html#KSPCG">KSPCG</A>, <A HREF="../KSP/KSPPIPECG.html#KSPPIPECG">KSPPIPECG</A>
<BR><P><B></B><H3><FONT COLOR="#CC3333">Level</FONT></H3>intermediate<BR>
<H3><FONT COLOR="#CC3333">Location</FONT></H3>
</B><A HREF="../../../src/ksp/ksp/impls/cg/pipecg2/pipecg2.c.html#KSPPIPECG2">src/ksp/ksp/impls/cg/pipecg2/pipecg2.c</A>
<BR><A HREF="./index.html">Index of all KSP routines</A>
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