Archive for May, 2013

Wednesday, May 8th, 2013

Custom kernels in GPULib 1.6

One of the features I’m most excited about in GPULib 1.6 is the ability to create your own kernel and call it from within the GPULib framework. Details and an example are on the GPULib blog. This feature requires CUDA programming knowledge, but makes it much easier to integrate custom CUDA code into IDL. You […]

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Friday, May 3rd, 2013

Linear algebra in GPULib 1.6

GPULib 1.6 has greatly enhanced linear algebra capabilities: GPU accelerated LAPACK routines provided by MAGMA. See details on the GPULib blog. We provide a low-level interface to over 100 LAPACK routines. MAGMA is a hybrid code that uses the CPU to do parts of the calculations that are best suited to it. We use Intel […]

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Wednesday, May 1st, 2013

GPULib 1.6 release

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 […]

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