Abstract: A system, method, and computer program product are provided for implementing anti-aliasing operations using a programmable sample pattern table. The method includes the steps of receiving an instruction that causes one or more values to be stored in one or more corresponding entries of the programmable sample pattern table and performing an anti-aliasing operation based on at least one value stored in the programmable sample pattern table. At least one value is selected from the programmable sample pattern table based on, at least in part, a location of one or more corresponding pixels.

Abstract: A method, system, and computer program product for controlling a sample mask from a fragment shader are disclosed. The method includes the steps of generating a fragment for each pixel that is covered, at least in part, by a primitive and determining coverage information for each fragment corresponding to the primitive. Then, for each fragment, the method includes the steps of generating a sample mask by a fragment shader, replacing the coverage information for the fragment with the sample mask, and writing, based on the sample mask, a result generated by the fragment shader to a memory. The method may be implemented on a parallel processing unit configured to implement, at least in part, a graphics processing pipeline.

Abstract: A system, method, and computer program product are provided for redistributing multi-sample processing workloads between threads. A workload for a plurality of multi-sample pixels is received and each thread in a parallel thread group is associated with a corresponding multi-sample pixel of the plurality of pixels. The workload is redistributed between the threads in the parallel thread group based on a characteristic of the workload and the workload is processed by the parallel thread group. In one embodiment, the characteristic is rasterized coverage information for the plurality of multi-sample pixels.

Abstract: A system, method, and computer program product are provided for implementing anti-aliasing operations using a programmable sample pattern table. The method includes the steps of receiving an instruction that causes one or more values to be stored in one or more corresponding entries of the programmable sample pattern table and performing an anti-aliasing operation based on at least one value stored in the programmable sample pattern table. At least one value is selected from the programmable sample pattern table based on, at least in part, a location of one or more corresponding pixels.

Abstract: A system, method, and computer program product are provided for implementing anti-aliasing operations using a programmable sample pattern table. The method includes the steps of receiving an instruction that causes one or more values to be stored in one or more corresponding entries of the programmable sample pattern table and performing an anti-aliasing operation based on at least one value stored in the programmable sample pattern table. At least one value is selected from the programmable sample pattern table based on, at least in part, a location of one or more corresponding pixels.

Abstract: A system, method, and computer program product are provided for accessing multi-sample surfaces. A multi-sample store instruction that specifies data for a single sample of a multi-sample pixel and a sample mask is received and the data for the single sample is stored to each sample of the multi-sample pixel that is enabled according to the sample mask. A multi-sample load instruction that specifies a multi-sample pixel is received, and, in response to executing the multi-sample load instruction, data for one sample of the multi-sample pixel is received. A determination is made that the data for the one sample of the multi-sample pixel represents multi-sample pixel data for at least one additional sample of the multi-sample pixel.

Abstract: A system, method, and computer program product are provided for multi-sample processing. The multi-sample pixel data is received and is analyzed to identify subsets of samples of a multi-sample pixel that have equal data, such that data for one sample in a subset represents multi-sample pixel data for all samples in the subset. An encoding state is generated that indicates which samples of the multi-sample pixel are included in each one of the subsets.

Abstract: A system, method, and computer program product are provided for multi-sample processing. The multi-sample pixel data is received and an encoding state associated with the multi-sample pixel data is determined. Data for one sample of a multi-sample pixel and the encoding state are provided to a processing unit. The one sample of the multi-sample pixel is processed by the processing unit to generate processed data for the one sample that represents processed multi-sample pixel data for all samples of the multi-sample pixel or two or more samples of the multi-sample pixel.

Abstract: A method, system, and computer program product for controlling a sample mask from a fragment shader are disclosed. The method includes the steps of generating a fragment for each pixel that is covered, at least in part, by a primitive and determining coverage information for each fragment corresponding to the primitive. Then, for each fragment, the method includes the steps of generating a sample mask by a fragment shader, replacing the coverage information for the fragment with the sample mask, and writing, based on the sample mask, a result generated by the fragment shader to a memory. The method may be implemented on a parallel processing unit configured to implement, at least in part, a graphics processing pipeline.

Abstract: A system, method, and computer program product enable compression with programmable sample locations, where the compression is a function of the programmable sample locations. The method includes the steps of storing a first value specifying a programmed sample location within a pixel in a first sample pattern table that is associated with a first display surface and storing, in a memory, geometric surface parameters corresponding to a first attribute at the programmed sample location within a first pixel of the first display surface. A second value specifying the programmed sample location within the pixel in a second sample pattern table that is associated with a second display surface is also stored and the first attribute is reconstructed based on the geometric surface parameters and the first value.

Abstract: A system, method, and computer program product enable compression with programmable sample locations, where the compression is a function of the programmable sample locations. The method includes the steps of storing a first value specifying a programmed sample location within a pixel in a sample pattern table and storing, in a memory, geometric surface parameters corresponding to a first attribute at the programmed sample location within a first pixel of a display surface. An instruction to store a second value specifying the programmed sample location within the pixel in the sample pattern table is received. The attribute is reconstructed based on the geometric surface parameters and the first value.

Abstract: A system, method, and computer program product are provided for implementing anti-aliasing operations using a programmable sample pattern table. The method includes the steps of receiving an instruction that causes one or more values to be stored in one or more corresponding entries of the programmable sample pattern table and performing an anti-aliasing operation based on at least one value stored in the programmable sample pattern table. At least one value is selected from the programmable sample pattern table based on, at least in part, a location of one or more corresponding pixels.

Abstract: A system, method, and computer program product are provided for using compression with programmable sample locations, where the compression is a function of the programmable sample locations. The method includes the steps of storing a first value specifying a programmed sample location within a pixel in a first sample pattern table that is associated with a first display surface and storing, in a memory, geometric surface parameters corresponding to a first attribute at the programmed sample location within a first pixel of the first display surface. A second value specifying the programmed sample location within the pixel in a second sample pattern table that is associated with a second display surface is also stored and the first attribute is reconstructed based on the geometric surface parameters and the first value.

Abstract: A system, method, and computer program product are provided for using compression with programmable sample locations, where the compression is a function of the programmable sample locations. The method includes the steps of storing a first value specifying a programmed sample location within a pixel in a sample pattern table and storing, in a memory, geometric surface parameters corresponding to a first attribute at the programmed sample location within a first pixel of a display surface. An instruction to store a second value specifying the programmed sample location within the pixel in the sample pattern table is received. The attribute is reconstructed based on the geometric surface parameters and the first value.

Abstract: A system, method, and computer program product are provided for redistributing multi-sample processing workloads between threads. A workload for a plurality of multi-sample pixels is received and each thread in a parallel thread group is associated with a corresponding multi-sample pixel of the plurality of pixels. The workload is redistributed between the threads in the parallel thread group based on a characteristic of the workload and the workload is processed by the parallel thread group. In one embodiment, the characteristic is rasterized coverage information for the plurality of multi-sample pixels.

Abstract: A system, method, and computer program product are provided for accessing multi-sample surfaces. A multi-sample store instruction that specifies data for a single sample of a multi-sample pixel and a sample mask is received and the data for the single sample is stored to each sample of the multi-sample pixel that is enabled according to the sample mask. A multi-sample load instruction that specifies a multi-sample pixel is received, and, in response to executing the multi-sample load instruction, data for one sample of the multi-sample pixel is received. A determination is made that the data for the one sample of the multi-sample pixel represents multi-sample pixel data for at least one additional sample of the multi-sample pixel.

Abstract: A system, method, and computer program product are provided for multi-sample processing. The multi-sample pixel data is received and an encoding state associated with the multi-sample pixel data is determined. Data for one sample of a multi-sample pixel and the encoding state are provided to a processing unit. The one sample of the multi-sample pixel is processed by the processing unit to generate processed data for the one sample that represents processed multi-sample pixel data for all samples of the multi-sample pixel or two or more samples of the multi-sample pixel.

Abstract: A system, method, and computer program product are provided for multi-sample processing. The multi-sample pixel data is received and is analyzed to identify subsets of samples of a multi-sample pixel that have equal data, such that data for one sample in a subset represents multi-sample pixel data for all samples in the subset. An encoding state is generated that indicates which samples of the multi-sample pixel are included in each one of the subsets.