Sun Microsystems, Inc.

Philip C Leung

Michael G Lavelle

Yan Yan Tang

Wayne Eric Burk

Michael Frank Deering

Ranjit S Oberoi

Elena M Ing

A system and method for generating pixels for a display device. The system may include a sample buffer for storing a plurality samples in a memory, a sample cache for caching recently accessed samples, and a sample filter unit for filtering one or more samples to generate a pixel. The generated pixels may then be stored in a frame buffer or provided to a display device. The method operates to take advantage of the common samples shared by neighboring pixels in both the x and y directions for reduced sample buffer accesses and improved performance. The method involves reading samples from the memory that correspond to pixels in a plurality of neighboring scan lines, and possibly also to multiple pixels in each of these scan lines. The samples may be stored in a cache memory and then accessed from the cache memory for filtering. The method maximizes use of the common samples shared by neighboring pixels in both the x and y directions.

Multiple scan line sample filtering

A graphics system includes a frame buffer that includes one or more memory devices and a frame buffer interface coupled to the frame buffer. Each memory device in the frame buffer includes N banks. Each of the N banks includes multiple pages, and each page is configured to store data corresponding to a portion of a screen region. The frame buffer interface is configured to generate address used to store data corresponding to a frame of data in the frame buffer. The frame includes multiple screen regions. The frame buffer interface is configured to generate addresses corresponding to the data and to provide the addresses to the frame buffer. The addresses are generated such that each of the N banks stores data corresponding to a portion of one out of every N screen regions within a horizontal group of screen regions.

Frame buffer addressing scheme

A system and method capable of super-sampling and performing super-sample convolution are disclosed. In one embodiment, the system may comprise a graphics processor, a frame buffer, a sample cache, and a sample-to-pixel calculation unit. The graphics processor may be configured to generate a plurality of samples. The frame buffer, which is coupled to the graphics processor, may be configured to store the samples in a sample buffer. The samples may be positioned according to a regular grid, a perturbed regular grid, or a stochastic grid. The sample-to-pixel calculation unit is programmable to select a variable number of stored samples from the frame buffer, copy the selected samples to a sample cache, and filter a set of the selected samples into an output pixel. The sample-to-pixel calculation unit retains those samples in the sample cache that will be reused in a subsequent pixel calculation and replaces those samples no longer required with new samples for another filter calculation.

Sample cache for supersample filtering

A graphics system configured to perform programmable filtering of samples to generate pixel values. The graphics system comprises a frame buffer, an accelerator unit and a video output processor. The accelerator unit receives graphics primitives, renders samples for the graphics primitives, and stores the rendered samples into a sample area of the frame buffer. The accelerator unit subsequently reads the samples from the sample area of the frame buffer, and filters the samples with a programmable filter having a programmable support region. The resulting pixel values are stored in a pixel area of the frame buffer. The video output processor reads the pixel values from the pixel area and converts the pixel values into a video signal which is provided to a video output port.

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Fremont, CA, United States of America

Philip C Leung