DELTA 477717 1712 34 SVNn  q}lpaENDREP DELTA SVN8T88x^mS]o@}f~$5Pv٘eSđE0 nd2¨# 5wԺa1s8wF : 4 8Ҹz4M"ꅁG׻C7,[C  gU˙`ҐU_g;RŠچxQp*E21pXo>뇀֨r)@ F;-l&vB]rfl󆯬 SgfKƱx&-uyu>~Njnׂ{g\dxr!߼]T>nxndb:Do {:?)ٛyu '1H&S '"(%!5U Q%C{UU/X? }o-j]//^ :?tQ<n*(Vtus\_?BƉ c&3=U} XT9ԕ䄸t/Eh3x3E/|P]VKPF>Ҟ vЋR_D=uŧGrENDREP DELTA SVN$&$$TIMESTAMP = 1535560304 SHA256 (elpa-2018.05.001.tar.gz) = a76c3402eb9d1c19b183aedabde8c20f4cfa4692e73e529384207926aec04985 SIZE (elpa-2018.05.001.tar.gz) = 1202447 ENDREP DELTA SVNLNLL--- configure.orig 2018-08-29 19:42:22 UTC +++ configure @@ -23453,15 +23453,15 @@ postdeps_FC=$(echo $postdeps_FC | sed 's if test x"${with_mpi}" = x"yes"; then if test x"${enable_openmp}" = x"yes"; then - SUFFIX="_openmp" + SUFFIX="" else SUFFIX="" fi else if test x"${enable_openmp}" = x"yes"; then - SUFFIX="_onenode_openmp" + SUFFIX="" else - SUFFIX="_onenode" + SUFFIX="" fi fi ENDREP DELTA SVN[][[The ELPA library provides highly efficient and highly scalable direct eigensolvers for symmetric matrices. Though especially designed for use for PetaFlop/s applications solving large problem sizes on massively parallel supercomputers, ELPA eigensolvers have proven to be also very efficient for smaller matrices. WWW: https://elpa.mpcdf.mpg.de/ ENDREP DELTA SVNF.FFx^n .ةVڷA؞%5}NnW G2a~2=y}V>eu` ډ k׹t`.-:܀F\=p‹A,ԑCtzCBIT%yFIJ{lA}!5Ǔ