Abstract: Disclosed are catalyst compositions containing cobalt II cations (Co2+) on a support. In embodiments, the catalyst compositions are free of chromium and/or a precious metal. Also disclosed are methods of preparing such catalyst compositions and methods of using such catalyst compositions, for example, to dehydrogenate light alkane and/or light alkene gas.

Abstract: Disclosed are methods of dehydrogenating a light alkane gas (and/or light alkene gas), which include adding hydrogen (H2) to the light alkane gas (and/or light alkene gas) in the presence of a catalyst composition containing zirconium oxide. Also disclosed are catalyst compositions containing zirconium oxide and methods of preparation thereof, where the catalyst compositions are useful in methods of dehydrogenating light alkane gas.

Abstract: Methods and systems for supporting parallel processing utilizing Central Processing Unit(s) (CPU(s)) and at least one Graphics Processing Unit (GPU) device to provide high scale processing of content streams. An exemplary method embodiment including the steps of: receiving at a CPU multiple data units corresponding to a first frame time for each of first through Nth content streams; sequentially processing by the CPU data units corresponding to different content streams and the first frame time; operating a set of cores of a GPU, in parallel, to perform processing on a set of data units, processing including operating each core of the set of cores to perform an operation on a data unit corresponding to a single one of the first plurality of content streams, each core in the set of cores processing a data unit of a different content stream, said processing generating a set of generated data units.

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: Methods and systems for supporting parallel processing utilizing Central Processing Unit(s) (CPU(s)) and at least one Graphics Processing Unit (GPU) device to provide high scale processing of content streams. An exemplary method embodiment including the steps of: receiving at a CPU multiple data units corresponding to a first frame time for each of first through Nth content streams; sequentially processing by the CPU data units corresponding to different content streams and the first frame time; operating a set of cores of a GPU, in parallel, to perform processing on a set of data units, processing including operating each core of the set of cores to perform an operation on a data unit corresponding to a single one of the first plurality of content streams, each core in the set of cores processing a data unit of a different content stream, said processing generating a set of generated data units.

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.