From bff945938f0b91befb7ef3011e4a0e4837d2332f Mon Sep 17 00:00:00 2001 From: lilia Date: Thu, 11 Dec 2014 15:30:44 +0100 Subject: [PATCH 1/1] 11-12-2014 v06 --- krylov_multi_reviewed.tex | 2 ++ strong_scaling_150x150x150.pdf | Bin 14442 -> 14172 bytes weak_scaling_280K.pdf | Bin 14453 -> 14128 bytes weak_scaling_280k.pdf | Bin 14523 -> 14155 bytes 4 files changed, 2 insertions(+) diff --git a/krylov_multi_reviewed.tex b/krylov_multi_reviewed.tex index a5c7827..42a47d0 100644 --- a/krylov_multi_reviewed.tex +++ b/krylov_multi_reviewed.tex @@ -346,6 +346,7 @@ preconditioner it is possible to reduce the number of iterations but preconditioners are not scalable when using many cores. + %%% MODIFIE *********************** %%%******************************** We have performed some experiments on an infiniband cluster of 3 nodes of Intel Xeon quad-core CPU E5620 2.40 GHz and 12 GB of memory. For the GMRES code (alone and in both multisplitting versions) the restart parameter is fixed to 16. The precision of the GMRES version is fixed to 1e-6. For the multisplitting versions, there are two precisions, one for the external solver which is fixed to 1e-6 and another one for the inner solver (GMRES) which is fixed to 1e-10. It should be noted that a high precision is used but we also fixed a maximum number of iterations for each internal step. In practice, we limit the number of iterations in the internal step to 10. So an internal iteration is finished when the precision is reached or when the maximum internal number of iterations is reached. The precision and the maximum number of iterations of CGNR method used by our Krylov multisplitting algorithm are fixed to 1e-25 and 20 respectively. The size of the Krylov subspace basis S is fixed to 10 vectors. @@ -370,6 +371,7 @@ We have performed some experiments on an infiniband cluster of 3 nodes of Intel %%%******************************** + %Doing many experiments with many cores is not easy and requires to access to a supercomputer with several hours for developing a code and then improving it. In the following we present some experiments we could achieve out on the Hector architecture, a UK's high-end computing resource, funded by the UK Research diff --git a/strong_scaling_150x150x150.pdf b/strong_scaling_150x150x150.pdf index b1617b62dd9cb6bc6e12c8434ba1d817aed4c48a..acb9614a98dece7d99d7989161b312efd8a2439c 100644 GIT binary patch delta 12565 zcmZXZLv$s8)}<@9ZL8wk*iI_8ZRf_$t=LJ$wkxjKwr$(C`u)9n(ChtYaMoVm8SFjY z=M1>v@J9|5lQ!x=z=Ilk{fWuX3j;87>PAL|l-?0T-wY%~*X2x#uM~H-U~v>0bYNOc zY5RrSRH^bg88@h7^-T;JWth8N-@Faw!;2C~@WiYmwDUZ@d(K7OVuTX3m$O;7Ef;%r zOM`3l946w0xd9I8096YypP+kLVLqMYu9pvRQqcjq;DO)bui!k<^=9R)7-sgybn`){ z5Ln-0iR>kEh3#JMSGB}oW)ANTopEL6_P5J#j*=H6_GFX&85PEjk`-YPjQZWfc+wMn zC}IGXwDS%Zvn%KsnZ}S*$E`kc(TF}AjECv5yazklIrw1wOj!KIlqGW7a_RqY*OKxA zZ0qI9y^&wnYH6w4v!aS$8)&go5)C5EL9B{V^t-LOHFj_zNK8*G8y(&6A6K%|$cNnOEm^TYxCmVv4@?knUYU}I0uwkALuvb{ zNsa*EndJ;2t^Agdp$n@jQ@t)=HWDEexD2~PK^Sm{JQW%L7`88b108vi&l>7R$Q(I-ehE8`J5ZlJ1CyJ$3CdcJ>+E)MT(*eE5s*|?KW?esvp 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