Today NVIDIA announced CUDA 4.0 at the GDC. It will be available to registered developers on March 4th :-D
Among interesting novelties, there is the support for layered textures (GL_TEXTURE_2D_ARRAY) that I hope will also be supported for surface access !
There is also the support for direct peer-to-peer communication between GPUs and mappping multiple GPUs (and potentially other third party devices like network/infiniband) memory into the same address space in order to provide direct memory access (Unified Virtual Addressing, UVA). Virtual functions should also now be supported, along with the New and Delete functions for dynamic memory allocations from kernels.
There is also the support for direct peer-to-peer communication between GPUs and mappping multiple GPUs (and potentially other third party devices like network/infiniband) memory into the same address space in order to provide direct memory access (Unified Virtual Addressing, UVA). Virtual functions should also now be supported, along with the New and Delete functions for dynamic memory allocations from kernels.
Looking forward to test all of this !
More info : Anandtech, NVIDIA pressroom, Dr Dobbs GPGPU.org
Update: CUDA 4.0 RC released to registered developers
Slides are available there: http://bit.ly/cuda4features
Among the interesting novelties I did not see before, it seems inline PTX will be officially supported with this release ! Also the dissasembler (cuobjdump) that were previously limited to Tesla ISA now support Fermi ISA disassembly. Take a look as the manual for the list of supported instructions.
Update: CUDA 4.0 RC released to registered developers
Slides are available there: http://bit.ly/cuda4features
Among the interesting novelties I did not see before, it seems inline PTX will be officially supported with this release ! Also the dissasembler (cuobjdump) that were previously limited to Tesla ISA now support Fermi ISA disassembly. Take a look as the manual for the list of supported instructions.
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