On Mon, Apr 23, 2012 at 5:26 PM, Satish Balay <balay at mcs.anl.gov> wrote:

> 'make libfast' can't handle different file types [but 'make lib' can].
>
> For libfast to work - you can split up the sources into multiple dirs.
>
> i.e
>
> src/mat/impls/dia/seq/dia.c
> src/mat/impls/dia/seq/seqcusp/diakerns.cu


The Python build can handle this.

   Matt


>
> Satish
>
> On Mon, 23 Apr 2012, Daniel Lowell wrote:
>
> > Hi all,
> >
> > I'm building a matrix type with two separate files dai.c and diakerns.cu
> .
> > If I "make all" in the PETSc root dir, it will be unable to find the
> object
> > file from the .cu file; i.e., I get this:
> >
> > /usr/bin/ar: diakerns.o: No such file or directory
> >
> > However if I merely do a "make lib" inside the matrix type directory I
> have
> > no problem. This has happened to other types I've create, I end up just
> > shoving everything into one large .cu file to quickly deal with it.
> > Here what the folder level makefile looks like:
> >
> >
> >
> > SOURCECU = diakerns.cu
> > SOURCEC  = dia.c
> > SOURCEF  =
> > SOURCEH  = dia.h
> > OBJSC    = dia.o diakerns.o
> > OBJSF    =
> > LIBBASE  = libpetscmat
> > DIRS     =
> > MANSEC   = Mat
> > LOCDIR   = src/mat/impls/dia/seq/
> >
> >
> >
> >
> > This is what my configuration script for petsc root looks like:
> >
> >
> > MPI_DIR="--with-mpi-dir=$MPICH2_HOME"
> > LAD="--download-f-blas-lapack=yes"
> > CUD="--with-cuda-dir=/soft/cuda-4.2/cuda"
> > ./config/configure.py $MPI_DIR $LAD $CUD \
> > --with-debugging=1 \
> > --with-cudac="nvcc -m64 -g -G -v" \
> > --with-precision=double \
> > --with-clanguage=c \
> > --with-cuda-arch=sm_20 \
> >
> >
> >
> >
> >
> >
>
>


-- 
What most experimenters take for granted before they begin their
experiments is infinitely more interesting than any results to which their
experiments lead.
-- Norbert Wiener
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