File	Date	Author	Commit
autoparse	2010-12-26	listmg	[618aaf] Moved the autoparse to its own directory.
doc	2010-12-25	listmg	[50e9f3] Added a tech note on the fileparser.
example	2010-12-18	listmg	[19f606] Merge branch 'dev/fileparser' into develop
src	2010-12-26	listmg	[618aaf] Moved the autoparse to its own directory.
util	2010-12-04	David Car	[58b2dc] Merge branch 'dev/fileparser' into develop
.gitignore	2010-10-17	David Car	[c260ad] * Resolved merge conflicts in Makefile.
CHANGELOG.html	2010-10-20	listmg	[c99dd0] Modified changelog.
Makefile	2011-09-29	Sur Huang	[ab304b] * Modified tar target in Makefile to get rid of...
README	2010-12-19	listmg	[635a4c] Merge branch 'develop' of ssh://fortcuda.git.so...
TODOS	2009-10-26	David Car	[d1db77] * Added CHANGELOG and TODOS
VERSION	2010-12-18	listmg	[90416e] Merge branch 'develop' into dev/fileparser

Read Me

*Author*
--------
David Car (david.car7@gmail.com)
Michael List (listmg@users.sourceforge.net)
http://fortcuda.sourceforge.net/

*Requirements*
--------------
A Fortran compiler supporting the ISO_C_BINDINGS intrinsic module.  Currently,
the following should work:

gfortran > 4.3
ifort > 10.0
pgfortran latest

Also, of course you need the NVIDIA CUDA SDK.  I'm using version 2.3 at this time.

*Documentation*
---------------
None at the moment

*Installation*
--------------

*Uninstall*
-----------


*Abstract*
----------
The CUDA.F90 module contains ISO_C_BINDINGS interfaces for various CUDA SDK
functions.  Compiling that will give you the cuda.o object file and cuda.mod
module.  Simply "use" the cuda module in your code.  See the main.F90 for an
example. 

*Build*
-------
To build the example test, do:

make library
make
-OR-
make ARCH=64 library
make ARCH=64

This will build in emulation mode.  To build the code for the device, edit the
Makefile NVCCFLAGS variable and remove -deviceemu.  It should then look like:

NVCCFLAGS=

Then do:

make clean
make
-OR-
make clean
make ARCH=64

You'll find a "test" executable in the examples directory.  Run that.  Its a
simple vector add.  If it fails you may wish to decrease the size of the
allocated vectors (they are quite large for low or mid range cards).