April 2017
Intermediate to advanced
320 pages
7h 46m
English
Content preview from Deep Learning with TensorFlow
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The CUDA architecture
In 2006, NVIDIA was presented as the first GPU to support DirectX 10; the GeForce 8800GTX was also the first GPU to use the CUDA architecture. This architecture included several new components designed specifically for GPU computing and aimed to remove the limitations that prevented them that previous GPUs were used for non-graphical calculations. In fact, the execution units on the GPU could read and write arbitrary memory as well as access a cache maintained in software called shared memory. These architectural features were added to make a CUDA GPU that also excelled in general purpose calculations as well as in traditional graphics tasks.
The following figure summarizes the division of space between the various components ...
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