Exact(5)
Without our use of the data shuffle kernel here, we expect that the GM load efficiency would be much lower due to irregular read patterns for polyphase filtering.
Due to our use of the data shuffle kernel, we are able to enforce coalescing for nearly 100% of the global read operations.
The inclusion of distributed data shuffle engines across vector lanes has a spectacular impact on the execution time, primarily for applications like FFT (Fast-Fourier Transform) that require large amounts of data shuffling.
We present an innovative architecture for a VP which separates the path for performing data shuffle and memory-indexed accesses from the data path for executing other vector instructions that access the memory.
We note that the data shuffle kernel achieves an overall occupancy of 84.5%; a global memory load efficiency of 100%, which is as expected due to our use of linear coalesced reads; and a global memory store efficiency of 33%, which is due to shuffling of data for polyphase decomposition, as we discussed earlier.
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The "cards" themselves were really just bits of data, "shuffled" by a random-number generator on a Mohawk Indian reservation in Quebec.
The runtime is mainly saved by avoiding static data shuffling.
A pseudocode specification of this data shuffling process is shown in Algorithm ??
First, our reshape or data shuffling kernel divides up one frame worth of data, composed of 600,000 input samples, by 512 TPB, yielding 1,172 blocks.
Some common data manipulation operations can be quite expensive even in a distributed environment as it could lead to a lot of data shuffling among the nodes.
The quality of the extracted logo in noisy environment would be high if no data shuffling happens as described in Section 3.2.2.
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