Abstract: For a given texture address, a texture sampler fetches and reduces texture data with a filter accumulator suitable for providing a weighted average over a variety of filter footprints. A multi-mode texture sampler is configurable to provide both a wide variety of footprints in either a separable or non-separable filter modes and allow for a filter footprint significantly wider than the bi-linear (2×2 texel) footprint. In embodiments, sub-sample addresses are generated by the texture sampler logic to accommodate a desired footprint. The sub-sample addresses may be generated and sequenced by multi-texel units, such as 2×2 texel quads, for efficient filtering. In embodiments, filter coefficients are cached from coefficient tables stored in memory.

Abstract: For a given texture address, a texture sampler fetches and reduces texture data with a filter accumulator suitable for providing a weighted average over a variety of filter footprints. A multi-mode texture sampler is configurable to provide both a wide variety of footprints in either a separable or non-separable filter modes and allow for a filter footprint significantly wider than the bi-linear (2×2 texel) footprint. In embodiments, sub-sample addresses are generated by the texture sampler logic to accommodate a desired footprint. The sub-sample addresses may be generated and sequenced by multi-texel units, such as 2×2 texel quads, for efficient filtering. In embodiments, filter coefficients are cached from coefficient tables stored in memory.

Abstract: For a given texture address, a texture sampler fetches and reduces texture data with a filter accumulator suitable for providing a weighted average over a variety of filter footprints. A multi-mode texture sampler is configurable to provide both a wide variety of footprints in either a separable or non-separable filter modes and allow for a filter footprint significantly wider than the bi-linear (2×2 texel) footprint. In embodiments, sub-sample addresses are generated by the texture sampler logic to accommodate a desired footprint. The sub-sample addresses may be generated and sequenced by multi-texel units, such as 2×2 texel quads, for efficient filtering. In embodiments, filter coefficients are cached from coefficient tables stored in memory.

Abstract: A method includes computing an anisotropic filter with a major-axis and a minor-axis for a pixel to be displayed on screen-space, where the anisotropic filter is to be applied to corresponding MIPs on a texture map. Additionally, the method includes varying the length of the major-axis of the anisotropic filter based on the angle of the major-axis of anisotropy with respect to the screen space. Further, the method includes determining a number of texels from the texture map that are to be sampled in the anisotropic filter based on the length of the modified major-axis. The color of the pixel may be determined based on the texels sampled in the anisotropic filter.

Abstract: A method for anisotropic filtering is provided herein. The method includes computing an anisotropic filter with a major-axis and a minor-axis for a pixel to be displayed on screen-space, wherein the anisotropic filter is to be applied to corresponding MIPs on a texture map. The method includes varying the length of the major-axis of the anisotropic filter based on the angle of the major-axis of anisotropy with respect to the screen space. The method includes determining a number of texels from the texture map that are to be sampled in the anisotropic filter based on the length of the modified major-axis. The method includes determining the color of the pixel based on the texels sampled in the anisotropic filter.

Abstract: A method includes computing an anisotropic filter with a major-axis and a minor-axis for a pixel to be displayed on screen-space, wherein the anisotropic filter is to be applied to corresponding MIPs on a texture map. Additionally, the method includes varying the length of the major-axis of the anisotropic filter based on the angle of the major-axis of anisotropy with respect to the screen space. Further, the method includes determining a number of texels from the texture map that are to be sampled in the anisotropic filter based on the length of the modified major-axis. The color of the pixel may be determined based on the texels sampled in the anisotropic filter.

Abstract: For a given texture address, a texture sampler fetches and reduces texture data with a filter accumulator suitable for providing a weighted average over a variety of filter footprints. A multi-mode texture sampler is configurable to provide both a wide variety of footprints in either a separable or non-separable filter modes and allow for a filter footprint significantly wider than the bi-linear (2×2 texel) footprint. In embodiments, sub-sample addresses are generated by the texture sampler logic to accommodate a desired footprint. The sub-sample addresses may be generated and sequenced by multi-texel units, such as 2×2 texel quads, for efficient filtering. In embodiments, filter coefficients are cached from coefficient tables stored in memory.

Abstract: Embodiments described herein include a graphics processing unit. The graphics processing unit includes a plurality of execution units. The graphics processing unit also includes a plurality of sampler units. Each sampler unit corresponds to a sampler dispatch logic unit and at least one execution unit, and the sampler dispatch logic units are used to network the plurality of sampler units.

Abstract: Multi-mode texture filters suitable for performing both bilinear filtering based on a fractional texture address and generating a weighted average of a group of texel values based on predetermined texel weighting coefficients as dependent on a filter mode signal. In embodiments, the weighted average may be accumulated over a variety of filter footprints. In embodiments, multi-mode texture filter logic includes a plurality of flexible filter blocks. In further embodiments, a pair of flexible filter blocks staged with each performing one lerp phase in the bilinear filter mode while a pair of flexible filter blocks in the flexible filter mode generate a weighted average over a pair of texels of a texel quad. In embodiments, each flexible filter block has a same microarchitecture, enabling an efficient utilization in either bilinear filter or flexible filter mode.

Abstract: For a given texture address, a texture sampler fetches and reduces texture data with a filter accumulator suitable for providing a weighted average over a variety of filter footprints. A multi-mode texture sampler is configurable to provide both a wide variety of footprints in either a separable or non-separable filter modes and allow for a filter footprint significantly wider than the bi-linear (2×2 texel) footprint. In embodiments, sub-sample addresses are generated by the texture sampler logic to accommodate a desired footprint. The sub-sample addresses may be generated and sequenced by multi-texel units, such as 2×2 texel quads, for efficient filtering. In embodiments, filter coefficients are cached from coefficient tables stored in memory.

Abstract: Texture filter logic suitable for determining a minimum or maximum texel value from a plurality of texel values associated with a filter footprint of arbitrary shape and size. In embodiments, logic circuitry includes a plurality of min/max comparison block stages is configured to perform comparisons and determine a min/max value of predetermined number of texel groups. In embodiments, the logic circuitry further includes a number of min/max collectors to accommodate filter footprints having more texel groups than the predetermined number accommodated by the min/max comparison block stages. Iterative comparisons may be performed until all texel groups in the given footprint have been compared. In further embodiments, the logic circuitry outputs four min/max texel values, which may then be further processed with a final comparison stages to arrive at one min/max value for a footprint.

Abstract: A method for anisotropic filtering is provided herein. The method includes computing an anisotropic filter with a major-axis and a minor-axis for a pixel to be displayed on screen-space, wherein the anisotropic filter is to be applied to corresponding MIPs on a texture map. The method includes varying the length of the major-axis of the anisotropic filter based on the angle of the major-axis of anisotropy with respect to the screen space. The method includes determining a number of texels from the texture map that are to be sampled in the anisotropic filter based on the length of the modified major-axis. The method includes determining the color of the pixel based on the texels sampled in the anisotropic filter.

Abstract: Texture filter logic suitable for determining a minimum or maximum texel value from a plurality of texel values associated with a filter footprint of arbitrary shape and size. In embodiments, logic circuitry includes a plurality of min/max comparison block stages is configured to perform comparisons and determine a min/max value of predetermined number of texel groups. In embodiments, the logic circuitry further includes a number of min/max collectors to accommodate filter footprints having more texel groups than the predetermined number accommodated by the min/max comparison block stages. Iterative comparisons may be performed until all texel groups in the given footprint have been compared. In further embodiments, the logic circuitry outputs four min/max texel values, which may then be further processed with a final comparison stages to arrive at one min/max value for a footprint.

Abstract: Multi-mode texture filters suitable for performing both bilinear filtering based on a fractional texture address and generating a weighted average of a group of texel values based on predetermined texel weighting coefficients as dependent on a filter mode signal. In embodiments, the weighted average may be accumulated over a variety of filter footprints. In embodiments, multi-mode texture filter logic includes a plurality of flexible filter blocks. In further embodiments, a pair of flexible filter blocks staged with each performing one lerp phase in the bilinear filter mode while a pair of flexible filter blocks in the flexible filter mode generate a weighted average over a pair of texels of a texel quad. In embodiments, each flexible filter block has a same microarchitecture, enabling an efficient utilization in either bilinear filter or flexible filter mode.

Abstract: For a given texture address, a texture sampler fetches and reduces texture data with a filter accumulator suitable for providing a weighted average over a variety of filter footprints. A multi-mode texture sampler is configurable to provide both a wide variety of footprints in either a separable or non-separable filter modes and allow for a filter footprint significantly wider than the bi-linear (2×2 texel) footprint. In embodiments, sub-sample addresses are generated by the texture sampler logic to accommodate a desired footprint. The sub-sample addresses may be generated and sequenced by multi-texel units, such as 2×2 texel quads, for efficient filtering. In embodiments, filter coefficients are cached from coefficient tables stored in memory.

Abstract: Embodiments described herein include a graphics processing unit. The graphics processing unit includes a plurality of execution units. The graphics processing unit also includes a plurality of sampler units. Each sampler unit corresponds to a sampler dispatch logic unit and at least one execution unit, and the sampler dispatch logic units are used to network the plurality of sampler units.

Abstract: Apparatus, systems and methods for implementing a reconfigurable floating point data filter are disclosed. For example, a method is disclosed, the method including configuring a texture filter in response to state data, where the state data specifying at least a data width of input texture data to be filtered, where the input texture data is in a floating point format, filtering the input texture data using the texture filter, and then reconfiguring the texture filter to be substantially fully utilized when the data width of the input texture data changes. Other implementations are also disclosed.

Abstract: A texture data reading apparatus includes a cache memory including a plurality of read ports and a plurality of regions to store pixel texture data. An address comparator includes a plurality of input ports to receive incoming pixels, wherein the address comparator compares the memory addresses associated with the incoming pixels to determine which regions of cache memory are accessed. A cache lookup device accesses new texture data from the cache memory for the incoming pixels in the same clock cycle in response to the number of memory regions accessed being less than or equal to the number of cache memory read ports.