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README

@@ -41,8 +41,8 @@ For the F77 compiler, we assume it supports DOUBLE COMPLEX and DO WHILE/ENDDO.
 Practically all compilers do nowadays.  
 The compilation process relies on the choice of an appropriate
 Make.inc file; we have tested with AIX XLF, Intel ifc/Linux, Lahey
-F95/Linux  and  Nag f95/Linux. If you succeed in compiling with other
+F95/Linux,  Nag f95/Linux, GNU Fortran/Linux. If you succeed in compiling with 
-compiler/operating systems please let us know. 
+other compiler/operating systems please let us know. 
 
 IBM SP2.
 The library has been tested on an IBM SP2 with XLC and XLF
@@ -59,28 +59,22 @@ LINUX:
 
 There finally exist a GNU Fortran 95 implementation: we are using the
 development snapshots from GCC 3.5.0, later 4.1 and 4.2  since July
-2004, and it appears  to work. This is on its way to become the
+2004, and it appears  to work. The 4.2 version of GNU compilers is now
-reference platform.  
+our reference platform. 
 
-We compiled with egcs G77/GCC and mpich-1.2.0, 1.2.1,  1.2.2 and 1.2.4.
-With some versions of GCC, g77 chokes on SRC/SERIAL/dcsdp.f; this
-problem seems to have disappeared in recent GCC distributions. 
 
-
+Vast F90/Linux is  now obsolete, in that we have a NULL()
-
+initialization for pointers that is outside strict F90. 
-Vast F90/Linux and PGI f90/Linux are now obsolete, in that we have a
-NULL() initialization for pointers that is outsied strict F90; they
-cannot be used any longer.
 For the PGI compilers, we used them in conjunction with gcc, NOT
 pgcc. Note that with pgi 3.6 we have horrible performance, due to
 spurious array copies when calling Fortran 77 codes from Fortran 90;
-this is fixed in version 4. 
+this is fixed in version 4 and later. 
 
 The Lahey version we got access to (6.0 and 6.1) seems to suffer from
 the same extra copies problem; this is most apparent in the matrix
 build process.  
 
-For the Intel compilers, we used ifc version 7.0 and 7.1; with version 6.0 
+For the Intel compilers, we used ifc versions  7, 8 and 9; with version 6.0 
 you need to change the way modules are handled, but we recommend to migrate
 to the new version anyway. Moreover, with versions prior to 7.1, there
 is a strange error in pargen/ppde90: the compiler did not like the
@@ -115,48 +109,9 @@ We have had good results with  the METIS library, which can be
 obtained from
 http://www-users.cs.umn.edu/~karypis/metis/metis/main.html 
 
-We include interfaces to: SuperLU 3.0 and UMFPACK 4.4. 
+We include interfaces to:
-
+--  SuperLU 3.0        http://crd.lbl.gov/~xiaoye/SuperLU/
-
+--  UMFPACK 4.4        http://www.cise.ufl.edu/research/sparse/umfpack/ 
-
-NEW: 
-
-- Reviewed the interfaces: in the tools section we really need the
-  POINTER attribute for dense vectors, but not in the computational
-  routines; taking it  out allows more flexibility. Besides, this acts
-  as a workaround for a bug on Linux/VAST: as of version 
-  "vf90  Personal   V3.4N5" the DOT and NRM functions had to be
-  transformed into subroutines whenever the vectors had the POINTER
-  attribute; now both subroutine and function versions work.  
-
-- Added more methods: CGS, BiCGSTAB(L), BiCG
-
-- We now have a new Preconditioner F90 routine; diagonal scaling works
-  with COO, CSR and JAD; ILU works with JAD, but is more expensive in terms 
-  of memory space
-
-- We added some extensions to compute multiple DOTs and AMAXs at once;
-  they can be useful in solving vector equations (e.g. momentum
-  equation in fluid dynamics).   
-- Halo data exchange in F90_PSHALO can now be applied to integer data;
-
-- There is an update capability for cases where the same sparsity
-  pattern is reused (e.g.  multiple time steps over a discretization
-  mesh which maintains a constant topology) 
-
-- We added a test program to read and solve sparse matrices from files in
-  Matrix-Market format (for details see http://math.nist.gov/MatrixMarket/) 
-
-
-
-
-TODO:
-
-
-1. Extend the C/F77 interface for character data (some Fortran
-   compilers don't just pass a pointer and a hidden length!) 
-
-2. Provide more general factorizations.