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One of the main advantages over a GPU implementation is the parallelism of the FPGA architecture: all different stages are computed in parallel, while the GPU performs all intermediate stages in sequence.
The M glass jet representative are computed in parallel.
In the second pass, inverse directions of blocks Bl and Br are computed in parallel.
In the first pass, Bl, Pc, and Br are computed in parallel.
The accumulation moments are computed in parallel according to two accumulation grids.
In, all active scheduled subdomains are computed in parallel as shown in Algorithm 3.
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Since the mobile agents can overlap with each other their random walk steps could be computed in parallel in order to reduce the computation time (either on a multicore CPU or GPU [ 13, 47]).
In principle, each output pixel can be computed in parallel.
Its entire time evolution is computed in parallel.
Collision detection between one spatula model and one brain model can be computed in parallel.
By this means, 16 subblocks of the result matrix C can be computed in parallel.
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