Graphics processing units (GPUs) are traditionally designed to handle graphics computational tasks, such as image and video processing and rendering, 2D and 3D graphics, vectoring, and more.
In the accelerated era of exascale supercomputing, MPI is being pushed to its logical limits. No matter how entrenched it has become over the last two decades, it might be time to rethink programming ...
New CUDA 4.0 Release Makes Parallel Programming Easier Unified Virtual Addressing, GPU-to-GPU Communication and Enhanced C++ Template Libraries Enable More Developers to Take Advantage of GPU ...
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