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git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@12592 f3b2605a-c512-4ea7-a41b-209d697bcdaa

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doc/accelerate_gpu.html
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@ -76,6 +76,16 @@ install the NVIDIA Cuda software on your system:
<P>This requires two steps (a,b): build the GPU library, then build
LAMMPS with the GPU package.
</P>
<P>You can do both these steps in one line, using the src/Make.py script,
described in <A HREF = "Section_start.html#start_4">Section 2.4</A> of the manual.
Type "Make.py -h" for help. If run from the src directory, this
command will create src/lmp_gpu using src/MAKE/Makefile.mpi as the
starting Makefile.machine:
</P>
<PRE>Make.py -p gpu -gpu mode=single arch=31 -o gpu lib-gpu file mpi
</PRE>
<P>Or you can follow these two (a,b) steps:
</P>
<P>(a) Build the GPU library
</P>
<P>The GPU library is in lammps/lib/gpu. Select a Makefile.machine (in
@ -120,8 +130,7 @@ Makefile.linux clean", followed by the make command above.
make yes-gpu
make machine
</PRE>
<P>No additional compile/link flags are needed in your Makefile.machine
in src/MAKE.
<P>No additional compile/link flags are needed in Makefile.machine.
</P>
<P>Note that if you change the GPU library precision (discussed above)
and rebuild the GPU library, then you also need to re-install the GPU