Abstract: A method of processing primitives within a tiling unit of a graphics processing system comprises determining whether a primitive falls within a tile based on positions of samples within each pixel. If it is determined that the primitive does fall within a tile based on the positions of samples within pixels in a tile, an association between the tile and the primitive is stored to indicate that the primitive is present in the tile. For example, an identifier for the primitive may be added to a control stream for the tile to indicate that the primitive is present in the tile. Various different methods are described to make the determination and these may be used separately or in any combination.

Abstract: The graphics processing unit described herein is configured to process graphics data using a rendering space which is sub-divided into a plurality of tiles. The graphics processing unit comprises a tiling unit and rendering logic. The tiling unit is arranged to generate a tile control list for each tile, the tile control list identifying each graphics data item present in the tile. The rendering logic is arranged to render the tiles using the tile control lists generated by the tiling unit. The tiling unit comprises per-tile hash generation logic arranged to generate, for each tile, a per-tile hash value based on a set of textures that will be accessed when processing the tile in the rendering logic, and the tiling unit is further arranged to store the per-tile hash value for a tile within the tile control list for the tile.

Abstract: A method of repacking tasks in a graphics pipeline includes, in response to a task reaching a checkpoint in a program, determining if the task is eligible for repacking. If the task is eligible for repacking, the task is de-scheduled and it is determined whether repacking conditions are satisfied. In the event that the repacking conditions are satisfied, the method looks for a pair of compatible and non-conflicting tasks at the checkpoint. If such a pair of tasks are found, one or more instances are transferred between the pair of tasks.

Abstract: Methods of memory allocation map registers referenced by different groups of instances of the same task to individual logical memories. Other example methods describe the mapping of registers referenced by a task to different banks within a single logical memory and in various examples this mapping may take into consideration which bank is likely to be the dominant bank for the particular task and the allocation for one or more other tasks.

Abstract: A graphics processing unit (GPU) processes graphics data using a rendering space which is sub-divided into a plurality of tiles. The GPU comprises cost indication logic configured to obtain a cost indication for each of a plurality of sets of one or more tiles of the rendering space. The cost indication for a set of tile(s) is suggestive of a cost of processing the set of one or more tiles. The GPU controls a rendering complexity with which primitives are rendered in tiles based on the cost indication for those tiles. This allows tiles to be rendered in a manner that is suitable based on the complexity of the graphics data within the tiles. In turn, this allows the rendering to satisfy constraints such as timing constraints even when the complexity of different tiles may vary significantly within an image.

Abstract: A computing system comprises graphics rendering logic and image processing logic. The graphics rendering logic processes graphics data to render an image using a rendering space which is sub-divided into a plurality of tiles. Cost indication logic obtains a cost indication for each of a plurality of sets of one or more tiles of the rendering space, wherein the cost indication for a set of one or more tiles is suggestive of a cost of processing rendered image values for a region of the rendered image corresponding to the set of one or more tiles. The image processing logic processes rendered image values for regions of the rendered image. The computing system causes the image processing logic to process rendered image values for regions of the rendered image in dependence on the cost indications for the corresponding sets of one or more tiles.

Abstract: A method of processing primitives within a tiling unit of a graphics processing system is described. The method comprises determining whether a primitive falls within a tile based on positions of samples within each pixel. If it is determined that the primitive does fall within a tile based on the positions of samples within pixels in a tile, an association between the tile and the primitive is stored to indicate that the primitive is present in the tile. For example, an identifier for the primitive may be added to a control stream for the tile to indicate that the primitive is present in the tile. Various different methods are described to make the determination and these may be used separately or in any combination.

Abstract: A graphics processing unit (GPU) processes graphics data using a rendering space which is sub-divided into a plurality of tiles. The GPU comprises cost indication logic configured to obtain a cost indication for each of a plurality of sets of one or more tiles of the rendering space. The cost indication for a set of tile(s) is suggestive of a cost of processing the set of one or more tiles. The GPU controls a rendering complexity with which primitives are rendered in tiles based on the cost indication for those tiles. This allows tiles to be rendered in a manner that is suitable based on the complexity of the graphics data within the tiles. In turn, this allows the rendering to satisfy constraints such as timing constraints even when the complexity of different tiles may vary significantly within an image.

Abstract: A computing system comprises graphics rendering logic and image processing logic. The graphics rendering logic processes graphics data to render an image using a rendering space which is sub-divided into a plurality of tiles. Cost indication logic obtains a cost indication for each of a plurality of sets of one or more tiles of the rendering space, wherein the cost indication for a set of one or more tiles is suggestive of a cost of processing rendered image values for a region of the rendered image corresponding to the set of one or more tiles. The image processing logic processes rendered image values for regions of the rendered image. The computing system causes the image processing logic to process rendered image values for regions of the rendered image in dependence on the cost indications for the corresponding sets of one or more tiles.

Abstract: Methods and apparatus for merging tasks in a graphics pipeline in which, subsequent to a trigger to flush a tag buffer, one or more tasks from the flushed tag buffer are generated, each task comprising a reference to a program and plurality of fragments on which the program is to be executed, wherein a fragment is an element of a primitive at a sample position. It is then determined whether merging criteria are satisfied and if satisfied, one or more fragments from a next tag buffer flush are added to a last task of the one or more tasks generated from the flushed tag buffer.

Abstract: A graphics processing system includes a tiling unit for performing tiling calculations and a hidden surface removal (HSR) unit for performing HSR on fragments of the primitives. Primitive depth information is calculated in the tiling unit and forwarded for use by the HSR unit in performing HSR on the fragments. This takes advantage of the tiling unit having access to the primitive data before the HSR unit performs the HSR on the primitives, to determine some depth information which can simplify the HSR performed by the HSR unit. Therefore, the final values of a depth buffer determined in the tiling unit can be used in the HSR unit to determine that a particular fragment will subsequently be hidden by a fragment of a primitive which is yet to be processed in the HSR unit, such that the particular fragment can be culled.

Abstract: A method of resource allocation in a parallel processing system is described. The method comprises receiving a request to allocate resources to a task, where the request identifies an amount of resources required to execute a next chunk of the task only, and when available, allocating to the task, the amount of resources required to execute the next chunk of the task.

Abstract: A graphics processing system includes a tiling unit for performing tiling calculations and a hidden surface removal (HSR) unit for performing HSR on fragments of the primitives. Primitive depth information is calculated in the tiling unit and forwarded for use by the HSR unit in performing HSR on the fragments. This takes advantage of the tiling unit having access to the primitive data before the HSR unit performs the HSR on the primitives, to determine some depth information which can simplify the HSR performed by the HSR unit. Therefore, the final values of a depth buffer determined in the tiling unit can be used in the HSR unit to determine that a particular fragment will subsequently be hidden by a fragment of a primitive which is yet to be processed in the HSR unit, such that the particular fragment can be culled.

Abstract: A computing system comprises graphics rendering logic and image processing logic. The graphics rendering logic processes graphics data to render an image using a rendering space which is sub-divided into a plurality of tiles. Cost indication logic obtains a cost indication for each of a plurality of sets of one or more tiles of the rendering space, wherein the cost indication for a set of one or more tiles is suggestive of a cost of processing rendered image values for a region of the rendered image corresponding to the set of one or more tiles. The image processing logic processes rendered image values for regions of the rendered image. The computing system causes the image processing logic to process rendered image values for regions of the rendered image in dependence on the cost indications for the corresponding sets of one or more tiles.

Abstract: A graphics processing unit (GPU) processes graphics data using a rendering space which is sub-divided into a plurality of tiles. The GPU comprises cost indication logic configured to obtain a cost indication for each of a plurality of sets of one or more tiles of the rendering space. The cost indication for a set of tile(s) is suggestive of a cost of processing the set of one or more tiles. The GPU controls a rendering complexity with which primitives are rendered in tiles based on the cost indication for those tiles. This allows tiles to be rendered in a manner that is suitable based on the complexity of the graphics data within the tiles. In turn, this allows the rendering to satisfy constraints such as timing constraints even when the complexity of different tiles may vary significantly within an image.

Abstract: A computing system comprises graphics rendering logic and image processing logic. The graphics rendering logic processes graphics data to render an image using a rendering space which is sub-divided into a plurality of tiles. Cost indication logic obtains a cost indication for each of a plurality of sets of one or more tiles of the rendering space, wherein the cost indication for a set of one or more tiles is suggestive of a cost of processing rendered image values for a region of the rendered image corresponding to the set of one or more tiles. The image processing logic processes rendered image values for regions of the rendered image. The computing system causes the image processing logic to process rendered image values for regions of the rendered image in dependence on the cost indications for the corresponding sets of one or more tiles.

Abstract: A graphics processing unit (GPU) processes graphics data using a rendering space which is sub-divided into a plurality of tiles. The GPU comprises cost indication logic configured to obtain a cost indication for each of a plurality of sets of one or more tiles of the rendering space. The cost indication for a set of tile(s) is suggestive of a cost of processing the set of one or more tiles. The GPU controls a rendering complexity with which primitives are rendered in tiles based on the cost indication for those tiles. This allows tiles to be rendered in a manner that is suitable based on the complexity of the graphics data within the tiles. In turn, this allows the rendering to satisfy constraints such as timing constraints even when the complexity of different tiles may vary significantly within an image.

Abstract: A method of processing primitives within a tiling unit of a graphics processing system is described. The method comprises determining whether a primitive falls within a tile based on positions of samples within each pixel. If it is determined that the primitive does fall within a tile based on the positions of samples within pixels in a tile, an association between the tile and the primitive is stored to indicate that the primitive is present in the tile. For example, an identifier for the primitive may be added to a control stream for the tile to indicate that the primitive is present in the tile. Various different methods are described to make the determination and these may be used separately or in any combination.

Abstract: Methods of memory allocation in which registers referenced by different groups of instances of the same task are mapped to individual logical memories. Other example methods describe the mapping of registers referenced by a task to different banks within a single logical memory and in various examples this mapping may take into consideration which bank is likely to be the dominant bank for the particular task and the allocation for one or more other tasks.

Abstract: Methods of memory allocation map registers referenced by different groups of instances of the same task to individual logical memories. Other example methods describe the mapping of registers referenced by a task to different banks within a single logical memory and in various examples this mapping may take into consideration which bank is likely to be the dominant bank for the particular task and the allocation for one or more other tasks.