NVIDIA CUDA-based bilinear (2D) interpolation

The code works as described. On my GeForce 8400 GPU, it can achieve over 200 on relative speedup. The nvmex compiler also works smoothly on MATLAB R2009A. Excellent!

Dear Darius,
you can find all build params described in nvmex.m
For adding additional include or library paths just use (similar to gcc) the params: -I<pathname> (for include path), -L<directory> (for lib dir) and -l<name> (for lib file).

Hopefully this helps and you get it running!

Well, I haven't tried it yet, but I'm sure it's possible. The included build tools are dedicated to MS Windows. Please leave a notice if you get it running.

I tried this on a XP64 machine with Matlab 64. I found one problem: If options are placed into an rsp file by the nvmex_helper script the nvmex compiler cannot parse them. So I added

    if (grep /\.rsp$/i, @ARGV) { # arg is a rsp file
my $fn = substr($ARGV[0],1);
my $holdNewline = $/;
undef $/;
my $inf;
open $inf, "<" . $fn;
my $buf = <$inf>;
close $inf;
$/ = $holdNewline;
$_ = $buf;
s/"(.*)\s(.*)"/"\"$1_!_$2\""/eg; # avoid splitting at spaces with quotes,e.g,. "Program Files/"
s/\s+/" "/eg; # collapse multiple spaces
$buf = $_;
@items = split / /, $buf; #split the input string into individual words
grep(s/_!_/" "/eg, @items);
@ARGV = @items;
    }

to nvmex.pl to allow that. Now I can pass -win32 as an option, and with some add'l tweaks (using win32 matlab and cuda libs, setting LINKER_OPTIONS to /MACHINE:X86 and esnuring that the 32-bit nvcc is called, I can now compile and run 32-bit mex executables from the 64-bit matlab command line.