Abstract:
A system, method, and computer program product are provided for discarding pixel samples. The method includes the steps of completing shading operations for a pixel set including one or more pixels to generate per-sample shaded attributes according to a shader program executed by a processing pipeline. Discard information for the pixel set is evaluated and one or more per-sample shaded attributes for at least one pixel in the pixel set are discarded based on the evaluated discard information.
Abstract:
A system, method, and computer program product are provided for discarding pixel samples. The method includes the steps of completing shading operations for a pixel set including one or more pixels to generate per-sample shaded attributes according to a shader program executed by a processing pipeline. Discard information for the pixel set is evaluated and one or more per-sample shaded attributes for at least one pixel in the pixel set are discarded based on the evaluated discard information.
Abstract:
Compressed data is oftentimes beneficial for reducing the computing resources required, for example, to transmit and store data. The compression of data is particularly useful when dealing with sparse data (data that includes numerous zeros or near-zero values) and only non-zero values above a certain threshold have significance. When dealing with compressed data, oftentimes the data needs to be decompressed for processing (e.g., by deep learning networks or other applications configured to operate on sparse, or other uncompressed data). Instructions are disclosed for supporting the decompression of compressed data by a processing unit such as a CPU and GPU.
Abstract:
Compressed data is oftentimes beneficial for reducing the computing resources required, for example, to transmit and store data. The compression of data is particularly useful when dealing with sparse data (data that includes numerous zeros or near-zero values) and only non-zero values above a certain threshold have significance. When dealing with compressed data, oftentimes the data needs to be decompressed for processing (e.g., by deep learning networks or other applications configured to operate on sparse, or other uncompressed data). Instructions are disclosed for supporting the decompression of compressed data by a processing unit such as a CPU and GPU.