After a long wait, GPULib 1.6 is finally ready to download! Here’s the brief version of the release notes (for a more detailed list, see the GPULib blog):
- All platforms, Windows, Linux, and OS X, are now distributed as binaries. No building from source required!
- Added MAGMA (GPU accelerated LAPACK library) linear algebra routines.
- GPULib can now load and execute custom CUDA kernels without having to link to it; you just compile your kernel to a
.ptxfile. We provide routines to load and execute that kernel at runtime. - Support for CUDA 5.0.
- Added support for up to 8-dimensional arrays.
- Added optimized scalar/array operations.
- Miscellaneous bug fixes.
A lot of work was done on infrastructure to make releasing an easier process, hopefully resulting in more frequent releases. We have plans for some very exciting features in the coming year!
Full disclosure: I work for Tech-X Corporation and I am the product manager for GPULib.
May 2nd, 2013 at 11:47 am
Congratulations Mike. And thanks especially for continuing to offer a free version. The $395 tab is reasonable, but for a pensioner like me with no more funding a bit prohibitive. If I read the Datasheet correctly, anything I’ve programmed so far will still run under the free license. So I hope I can continue to use (and plug) GPULib in the forthcoming edition of my book.
Mort