Intel Corporation

Eric G Liskay

Abhishek R Appu

Prasoonkumar Surti

Michael J Norris

Altug Koker

Karol A Szerszen

Joydeep Ray

Karthik Vaidyanathan

Kiran Chand Veernapu

Abhishek Rhisheekesan

Shashank Lakshminarayana

Sudhakar Kamma

Rajasekhar Pantangi

Priyanka Ladda

Embodiments are generally directed to compression for compression for sparse data structures utilizing mode search approximation. An embodiment of an apparatus includes one or more processors including a graphics processor to process data; and a memory for storage of data, including compressed data. The one or more processors are to provide for compression of a data structure, including identification of a mode in the data structure, the data structure including a plurality of values and the mode being a most repeated value in a data structure, wherein identification of the mode includes application of a mode approximation operation, and encoding of an output vector to include the identified mode, a significance map to indicate locations at which the mode is present in the data structure, and remaining uncompressed data from the data structure.

Compression for sparse data structures utilizing mode search approximation

Described herein is a data processing system having a multisample antialiasing compressor coupled to a texture unit and shader execution array. In one embodiment, the data processing system includes a memory device to store a multisample render target, the multisample render target to store color data for a set of sample locations of each pixel in a set of pixels; and general-purpose graphics processor comprising a multisample antialiasing compressor to apply multisample antialiasing compression to color data generated for the set of sample locations of a first pixel in the set of pixels and a multisample render cache to store color data generated for the set of sample locations of the first pixel in the set of pixels, wherein color data evicted from the multisample render cache is to be stored to the multisample render target.

Lossless compression for multisample render targets alongside fragment compression

A mechanism is described for facilitating smart compression/decompression schemes at computing devices. A method of embodiments, as described herein, includes unifying a first compression scheme relating to three-dimensional (3D) content and a second compression scheme relating to media content into a unified compression scheme to perform compression of one or more of the 3D content and the media content relating to a processor including a graphics processor.

Smart compression/decompression schemes for efficiency and superior results

Examples described herein relate to a decompression engine that can request compressed data to be transferred over a memory bus. In some cases, the memory bus is a width that requires multiple data transfers to transfer the requested data. In a case that requested data is to be presented in-order to the decompression engine, a re-order buffer can be used to store entries of data. When a head-of-line entry is received, the entry can be provided to the decompression engine. When a last entry in a group of one or more entries is received, all entries in the group are presented in-order to the decompression engine. In some examples, a decompression engine can borrow memory resources allocated for use by another memory client to expand a size of re-order buffer available for use. For example, a memory client with excess capacity and a slowest growth rate can be chosen to borrow memory resources from.

Programmable re-order buffer for decompression

Described herein is an apparatus having color compression circuitry coupled to a texture unit and shader execution array. The color compression circuitry performs lossless delta color compression of pixel color data provided by the shader execution array and texture unit to generate compressed color data. The compressed color data is stored at one or more levels of a multilevel cache subsystem.

Described herein is a data processing system comprising a memory device to store a multisample render target and a general-purpose graphics processor comprising a multisample antialiasing compressor and a multisample render cache. The multisample render target can store color data for a set of sample locations of each pixel in a set of pixels. The multisample antialiasing compressor can apply multisample antialiasing compression to color data generated for the set of sample locations of a first pixel in the set of pixels. The multisample render cache can store color data generated for the set of sample locations of the first pixel in the set of pixels. Color data evicted from the multisample render cache is stored to the multisample render target.

One embodiment provides for a general-purpose graphics processor comprising a multisample antialiasing compression module to perform planar multi-sample anti-aliasing, the multisample antialiasing compression module to analyze color data for a set of sample locations of a first pixel; determine a first plane to allocate for the first pixel, wherein the first plane is a lowest order plane to be allocated for the first pixel; and merge a plane allocation for the first pixel with a plane allocation for a second pixel in response to a determination that the first plane is the lowest order plane to be allocated for the second pixel.

A mechanism is described for facilitating consolidated compression/de-compression of graphics data streams of varying types at computing devices. A method of embodiments, as described herein, includes generating a common sector cache relating to a graphics processor. The method may further include performing a consolidated compression of multiple types of graphics data streams associated with the graphics processor using the common sector cache.

Growing community of inventors

Folsom, CA, United States of America

Eric G Liskay