Abstract: A system and method for decompressing compressed data (e.g., in a frame buffer) and optionally recompressing the data. The method includes determining a portion of an image to be accessed from a memory and sending a conditional read corresponding to the portion of the image. In response to the conditional read, an indicator operable to indicate that the portion of the image is uncompressed may be received. If the portion of the image is compressed, in response to the conditional read, compressed data corresponding to the portion of the image is received. In response to receiving the compressed data, the compressed data is uncompressed into uncompressed data. The uncompressed data may then be written to the memory corresponding to the portion of the image. The uncompressed data may then be in-place compressed for or during subsequent processing.

Abstract: Updating depth related graphics data is described. Geometric primitives are processed. Pixels are generated from the primitives based on the processing, each of which has at least one corresponding depth value. Culling is performed on a first group of the pixels, based on a representation of the at least one depth related value corresponding to each. Pixels may be discarded based on the culling and upon which a second group of pixels remain. A depth related raster operations function is performed, in which data is transacted with a depth buffer. The culling function is updated in relation to the transacting. The updating is performed on the basis of a granularity, which characterizes the culling function.

Abstract: One embodiment of the present invention includes a memory management unit (MMU) that is configured to manage sparse mappings. The MMU processes requests to translate virtual addresses to physical addresses based on page table entries (PTEs) that indicate a sparse status. If the MMU determines that the PTE does not include a mapping from a virtual address to a physical address, then the MMU responds to the request based on the sparse status. If the sparse status is active, then the MMU determines the physical address based on whether the type of the request is a write operation and, subsequently, generates an acknowledgement of the request. By contrast, if the sparse status is not active, then the MMU generates a page fault. Advantageously, the disclosed embodiments enable the computer system to manage sparse mappings without incurring the performance degradation associated with both page faults and conventional software-based sparse mapping management.

Abstract: A method, in one embodiment, can include performing difference transformation of image samples. In addition, the method can also include performing length selection. Furthermore; the method can include performing packing that includes utilizing varying sized bit fields to produce a compressed representation.

Abstract: Approaches are disclosed for performing memory access operations in a texture processing pipeline having a first portion configured to process texture memory access operations and a second portion configured to process non-texture memory access operations. A texture unit receives a memory access request. The texture unit determines whether the memory access request includes a texture memory access operation. If the memory access request includes a texture memory access operation, then the texture unit processes the memory access request via at least the first portion of the texture processing pipeline, otherwise, the texture unit processes the memory access request via at least the second portion of the texture processing pipeline. One advantage of the disclosed approach is that the same processing and cache memory may be used for both texture operations and load/store operations to various other address spaces, leading to reduced surface area and power consumption.

Abstract: A method, in one embodiment, can include performing difference transformation of image samples. In addition, the method can also include performing length selection. The method can also include performing a prioritized ordering of difference data. Furthermore, the method can include performing packing that includes utilizing varying sized bit fields to produce a lossy compressed representation.

Abstract: A method for compressing framebuffer data is presented. The method includes determining a reduction ratio for framebuffer data in a tile including multiple samples. The reduction ratio determined is independent of the sampling mode, where the sampling mode is the number of samples within each pixel in the tile. The method further includes comparing a first portion of the framebuffer data for each of the multiple samples to determine an equality comparison result and also comparing a second portion of the framebuffer data for each one of the multiple samples to compute per-channel differences for each one of the multiple samples and testing the per-channel differences against a threshold value to determine a threshold comparison result. Finally, the method comprises compressing the framebuffer data for the tile based on the reduction ratio, the equality comparison result and the threshold comparison result to produce output framebuffer data for the tile.

Abstract: One embodiment of the present invention includes a memory management unit (MMU) that is configured to manage sparse mappings. The MMU processes requests to translate virtual addresses to physical addresses based on page table entries (PTEs) that indicate a sparse status. If the MMU determines that the PTE does not include a mapping from a virtual address to a physical address, then the MMU responds to the request based on the sparse status. If the sparse status is active, then the MMU determines the physical address based on whether the type of the request is a write operation and, subsequently, generates an acknowledgement of the request. By contrast, if the sparse status is not active, then the MMU generates a page fault. Advantageously, the disclosed embodiments enable the computer system to manage sparse mappings without incurring the performance degradation associated with both page faults and conventional software-based sparse mapping management.

Abstract: Approaches are disclosed for performing memory access operations in a texture processing pipeline having a first portion configured to process texture memory access operations and a second portion configured to process non-texture memory access operations. A texture unit receives a memory access request. The texture unit determines whether the memory access request includes a texture memory access operation. If the memory access request includes a texture memory access operation, then the texture unit processes the memory access request via at least the first portion of the texture processing pipeline, otherwise, the texture unit processes the memory access request via at least the second portion of the texture processing pipeline. One advantage of the disclosed approach is that the same processing and cache memory may be used for both texture operations and load/store operations to various other address spaces, leading to reduced surface area and power consumption.

Abstract: Updating depth related graphics data is described. Geometric primitives are processed. Pixels are generated from the primitives based on the processing, each of which has at least one corresponding depth value. Culling is performed on a first group of the pixels, based on a representation of the at least one depth related value corresponding to each. Pixels may be discarded based on the culling and upon which a second group of pixels remain. A depth related raster operations function is performed, in which data is transacted with a depth buffer. The culling function is updated in relation to the transacting. The updating is performed on the basis of a granularity, which characterizes the culling function.

Abstract: A method, in one embodiment, can include performing difference transformation of image samples. In addition, the method can also include performing length selection. The method can also include performing a prioritized ordering of difference data. Furthermore, the method can include performing packing that includes utilizing varying sized bit fields to produce a lossy compressed representation.

Abstract: A system and method for decompressing compressed data (e.g., in a frame buffer) and optionally recompressing the data. The method includes determining a portion of an image to be accessed from a memory and sending a conditional read corresponding to the portion of the image. In response to the conditional read, an indicator operable to indicate that the portion of the image is uncompressed may be received. If the portion of the image is compressed, in response to the conditional read, compressed data corresponding to the portion of the image is received. In response to receiving the compressed data, the compressed data is uncompressed into uncompressed data. The uncompressed data may then be written to the memory corresponding to the portion of the image. The uncompressed data may then be in-place compressed for or during subsequent processing.

Abstract: A method, in one embodiment, can include performing difference transformation of image samples. In addition, the method can also include performing length selection. Furthermore; the method can include performing packing that includes utilizing varying sized bit fields to produce a compressed representation.

Abstract: A method for compressing framebuffer data is presented. The method includes determining a reduction ratio for framebuffer data in a tile including multiple samples. The reduction ratio determined is independent of the sampling mode, where the sampling mode is the number of samples within each pixel in the tile. The method further includes comparing a first portion of the framebuffer data for each of the multiple samples to determine an equality comparison result and also comparing a second portion of the framebuffer data for each one of the multiple samples to compute per-channel differences for each one of the multiple samples and testing the per-channel differences against a threshold value to determine a threshold comparison result. Finally, the method comprises compressing the framebuffer data for the tile based on the reduction ratio, the equality comparison result and the threshold comparison result to produce output framebuffer data for the tile.