The CUDA 5 Production Release is now available as a free download at www.nvidia.com/getcuda.
This powerful new version of the pervasive CUDA parallel computing
platform and programming model can be used to accelerate more of
applications using the following four (and many more) new features.
• CUDA Dynamic Parallelism brings GPU acceleration to new algorithms by enabling GPU threads to directly launch CUDA kernels and call GPU libraries.
• A new device code linker enables developers to link external GPU code and build libraries of GPU functions.
• NVIDIA Nsight Eclipse Edition enables you to develop, debug and optimize CUDA code all in one IDE for Linux and Mac OS.
• GPUDirect Support for RDMA provides direct communication between GPUs in different cluster nodes
As a demonstration of the power of Dynamic Parallelism and device code linking, CUDA 5 includes a device-callable version of the CUBLAS linear algebra library, so threads already running on the GPU can invoke CUBLAS functions on the GPU.
CUDA5 everything you need to know see the pdf
http://developer.download.nvidia.com/GTC/cuda5-everything-you-need-to-know.pdf
• CUDA Dynamic Parallelism brings GPU acceleration to new algorithms by enabling GPU threads to directly launch CUDA kernels and call GPU libraries.
• A new device code linker enables developers to link external GPU code and build libraries of GPU functions.
• NVIDIA Nsight Eclipse Edition enables you to develop, debug and optimize CUDA code all in one IDE for Linux and Mac OS.
• GPUDirect Support for RDMA provides direct communication between GPUs in different cluster nodes
As a demonstration of the power of Dynamic Parallelism and device code linking, CUDA 5 includes a device-callable version of the CUBLAS linear algebra library, so threads already running on the GPU can invoke CUBLAS functions on the GPU.
CUDA5 everything you need to know see the pdf
http://developer.download.nvidia.com/GTC/cuda5-everything-you-need-to-know.pdf
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