Try searching cpan again with 'CUDA'--you should get KappaCUDA 1.1.1. This is a SWIG wrapper (SWIG '.i' file included in the module package) of the (commercial) Kappa Library which I wrote. BTW, this SWIG file should work for any other SWIG supported language--I know it works for Python, for example.

The KappaCUDA module gives complete object-oriented access to the CUDA driver API (which is a superset of the runtime API) along with memory management, a kernel scheduler, and implementing the Perl philosophy that: by default it should do the right thing but it should let you do whatever you want.

I will soon be posting on my website: PsiLambda.com a companion piece, keywordPerl, that gives Perl as close to complete parity (other than performance) with C++ as GPU hardware allows (GPU hardware is not likely to run Perl or any other interpreted language any time soon--although I look forward to the notice that informs me that I am wrong about that ;) ).