Not sure if this helps, but I see OpenGL by Chris Marshall (CHM) (updated in 2016) plus a number of other OpenGL distributions by CHM. See also:

• PDL (wikipedia)
• Perl OpenGL (wikipedia)
• Putting Perl Back on Top in the Fields of Scientific and Financial Computing
• Lightning strikes four times (perl.com article from 2007)

BTW, I need to update this node with this extra info (which I somehow missed when I googled a week or so ago). It seems the Perl PDL world is a well kept secret, at least I forgot about it and then failed to find it with google. :(

G'day eyepopslikeamosquito,

Although I've never installed or used it, I was aware of PDL's existence, and vaguely knew it could be used for matrix arithmetic, among other things; I didn't know about the machine learning aspect. It's a prerequisite for AI::MXNet (see my last post) so I've just installed it, probably only minutes before you posted.

OpenGL is an optional prerequisite for PDL; which I just failed to install. It looks like I need to install some libraries for that, so that's on my ever growing TODO list.

Thanks for the links to the other articles. A bit dated but still informative: I'll definitely have to look more closely at OpenGL. The last line of the last article made me laugh; I wondered if, 14 years later, poor old brian is still waiting. :-)

— Ken

> I wondered if, 14 years later, poor old brian is still waiting. :-)

Yes, I too have enormous respect for brian d foy, a bona fide Perl pioneer hero, a fantastic and consistent contributor to Perl for over twenty years, using Perl since Physics grad school, and founding Perl Mongers in New York way back in 1998. Unlike most of Perl's early pioneers from the 1990s, brian is still going strong today. A true believer.

BTW, though I know what the "L" stands for in Randal L Schwartz, I don't know what the "d" stands for in brian d foy, nor why the name is always rendered in lower case.

I don't know your use-case but a roundabout way of utilising GPUs via Perl can be with AI::MXNet

The other way would be to try and Inline::C a Cuda-C program. I am curious if their hello world would work. Warning: my last attempt to inline calls to external libraries with specific header-file naming conventions, failed because of naming clashes, see Inline::CPP + OpenCV = problems

bw, bliako

G'day bliako,

I did come across AI::MXNet earlier during my searching; via a fairly circuitous route, if I recall, after following a series of links. I think I took the AI:: and the abstract ("Perl interface to MXNet machine learning library") to indicate this was not what I wanted.

I now see, several screenfuls down, "The MXNet Perl package brings flexible and efficient GPU computing and state-of-art deep learning to Perl." (my emphasis). If only the abstract had been a bit more informative. I'm currently in the processing of installing the module.

The ExtUtils::nvcc module also has an Inline::C example. A dependency of a dependency needs a reboot to complete installation; that's not convenient right now but I'll get to it in a day or two. When that's done, I can try your suggested CUDA example; CUDA is in that dependency chain currently stuck in a traffic jam. :-)

— Ken

I have posted a general setup for running cuda via Perl using Inline::C at Compile and possibly run cuda code on the GPU via Perl's Inline::C

bw, bliako

++ Thanks for that — it's quite an impressive post.

Yesterday evening, I managed to sort out the "dependency chain currently stuck in a traffic jam". Amongst other things, I now have nvcc installed. So that's a good start.

This has been a very busy week with some ~16hr days. I have real world tasks piling up which require my attention. I should be able to get back to the Cuda code, and your very interesting post, early next week.

— Ken