Software realizations of computationally-demanding image processing tasks (e.g., image transforms and convolution) do not currently provide graceful degradation when their clock-cycles budgets areâ€¦ (More)

The generic matrix multiply (GEMM) function is the core element of high-performance linear algebra libraries used in many computationally demanding digital signal processing (DSP) systems. We proposeâ€¦ (More)

Computer hardware with native support for large-bitwidth operations can be used for the concurrent calculation of multiple independent linear image processing operations when these operations mapâ€¦ (More)

The generic matrix multiply (GEMM) routine comprises the compute and memory-intensive part of many information retrieval, relevance ranking and object recognition systems. Because of the prevalenceâ€¦ (More)

Ubiquitous image processing tasks (such as transform decompositions, filtering and motion estimation) do not currently provide graceful degradation when their clock-cycles budgets are reduced, e.g.â€¦ (More)

The generic matrix multiply (GEMM) subprogram is the core element of high-performance linear algebra software used in computationally-demanding digital signal processing (DSP) systems. We propose anâ€¦ (More)

ORIP is a software framework that, in its current version, realizes incremental computation of transform decompositions, 2D convolution and frame-by-frame block matching. The uniqueness of ORIP isâ€¦ (More)