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As we mentioned earlier, in relation to GPU memory management, the main operations are performed in the shared memory; thus, random number generator is required to comply with the shared memory array size.
Once clans form into tribes and tribes move into cities, the shared memory is no longer sufficient.
In the shared memory environment, we used OpenMP and CUDA.
The shared memory environment was tested with several configurations.
Figure 2 Implementation of multiplication in the shared memory.
(b) Example of 2D block assigned to the shared memory.
This is because the data block to be copied to the shared memory is larger in size than the shared memory.
To support multi-threaded access to the shared memory, a coordination mechanism is needed.
Figure 5 shows threads and buffers used for communication in the shared memory pipeline.
However, we can achieve better performance if we compute the filtering steps from the shared memory.
Fig. 3 Example of the use of the shared memory and registers.
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