Abstract: Context values used by filters corresponding to different streams are stored in an interleaved manner in a block of contiguous memory locations, e.g., of a buffer, to facilitate coalesced access of data units, e.g., context values, corresponding to different channels to facilitate filtering of multiple streams, e.g., audio streams, in parallel using a graphics processing unit. Context values corresponding to different channels are intentionally grouped together on an interleaved per channel basis in staging memory. This allows context values for multiple different streams to be transferred, e.g., loaded, as a single block e.g., with a context value of each different channel being loaded into a different GPU core. By organizing the context values to facilitate GPU processing, device operation is improved and execution efficiency is achieved as compared to what would be the case if multiple non-contiguous memory locations had to be implemented to load the cores of the GPU.

Abstract: Context values used by filters corresponding to different streams are stored in an interleaved manner in a block of contiguous memory locations, e.g., of a buffer, to facilitate coalesced access of data units, e.g., context values, corresponding to different channels to facilitate filtering of multiple streams, e.g., audio streams, in parallel using a graphics processing unit. Context values corresponding to different channels are intentionally grouped together on an interleaved per channel basis in staging memory. This allows context values for multiple different streams to be transferred, e.g., loaded, as a single block e.g., with a context value of each different channel being loaded into a different GPU core. By organizing the context values to facilitate GPU processing, device operation is improved and execution efficiency is achieved as compared to what would be the case if multiple non-contiguous memory locations had to be implemented to load the cores of the GPU.