Nvidia Corporation

Walter E Donovan

John Erik Lindholm

Paul S Heckbert

Emmett Michael Kilgariff

Anders M Kugler

Matthew Nicholas Papakipos

Steven E Molnar

David B Kirk

Karim Abdalla

Rui Bastos

Joel James McCormack

Harold Robert Feldman Zatz

Curtis R Priem

John Stephen Montrym

Stephen Donald Lew

Abraham Benjamin De Waal

Michael J M Toksvig

Rouslan Lyubomirov Dimitrov

Alexander Lev Minkin

David Kirk McAllister

Gary C King

Douglas H Rogers

Liang Peng

Chris Amsinck

Jonah Matthew Alben

Christopher D S Donham

Michael John Toksvig

Tyson J Bergland

Robert Ohannessian

Christian Amsinck

Santanu Dutta

Krishnaraj S Rao

Olivier Lapicque

Gopal Solanki

Rajeev Jayavant

Viktor Grigoryevich Vandanov

Joe L Yeun

Henry Packard Moreton

Eric Brian Lum

Cass Watson Everitt

William P Newhall, Jr

Christopher J Migdal

Eric Sovelen Werness

John W Berendsen

Shaun Ho

Luke Y Chang

Lei Yang

Bo Hong

Marilyn J Lang

The present disclosure is directed to a method and system for increasing virtual machine (VM) density on a server system through adaptive rendering by dynamically shifting video rendering tasks to a client computing device. In one embodiment, a processor in a server manages virtual machines in the server by controlling a number of VMs and an amount of system resources allocated to the VMs. The number of VMs and the amount of resources allocated to the VMs are controlled by shifting video rendering from at least one of the VMs to a client device, and increasing the number of the VMs in the server after the shifting.

Managing virtual machine density by controlling server resource

The present disclosure is directed to a method to increase virtual machine density on a server system through adaptive rendering by dynamically determining when to shift video rendering tasks between the server system and a client computing device. In another embodiment, the adaptive rendering, using various parameters, can select one or more encoding and compression algorithms to use to prepare and process the video for transmission to the client computing device. In another embodiment, a video rendering system is disclosed that can adaptively alter how and where a video is rendered, encoded, and compressed.

Dynamically shifting video rendering tasks between a server and a client

One aspect of the current disclosure provides a method of upscaling an image. The method includes: rendering an image, wherein the rendering includes generating color samples of the image at a first resolution and depth samples of the image at a second resolution, which is higher than the first resolution; and upscaling the image to an upscaled image at a third resolution, which is higher than the first resolution, using the color samples and the depth samples.

HW-assisted upscaling and multi-sampling using a high resolution depth buffer

A method for performing image decompression. The method includes identifying a pixel in an image, wherein the image comprises a plurality of tiles including color data that is displayed by a plurality of pixels, wherein each tile is associated with a base value, a delta value, and a plurality of indices. One or more tiles associated with the pixel are identified. An interpolated base is determined by interpolating decompressed bases of the one or more tiles. An interpolated delta is determined by interpolating deltas of the one or more tiles. An index is determined for the pixel. A color value is determined for the pixel based on the interpolated base, interpolated delta, and the index.

Method and system for interpolating base and delta values of associated tiles in an image

A method for performing index compression. The method includes identifying a tile in an image, wherein the image comprises a plurality of tiles, wherein each tile includes color associated with a plurality of pixels. Furthermore, the method includes generating a plurality of indices located throughout the tile, and storing the plurality of indices. Additionally, the method includes offsetting zero or more locations of an index of the plurality of indices from a pixel location.

Method and system for index compression for fixed block size texture formats and for non-linear interpolation of index values along an edge in a tile

Image scaling techniques, in accordance with embodiments of the present technology, include directionally interpolating blocks of pixel data of an image, sharpening the directional interpolated blocks of pixel data, and optionally clamping the sharpened, directional interpolated blocks of pixel data.

Image scaling techniques

A method for encoding at least one extra bit in an image compression and decompression system. The method includes accessing an input image, and compressing the input image into a compressed image using an encoder system, wherein said encoding system implements an algorithm for encoding at least one extra bit. The method further includes communicatively transferring the compressed image to a decoding system, and decompressing the compressed image into a resulting uncompressed image that is unaltered from said input image, wherein the algorithm for encoding enables the recovery of the at least one extra bit.

Generalization of methods and systems for image compression while encoding at least one extra bit

One embodiment of the present invention sets forth a technique for converting alpha values into pixel coverage masks. Geometric coverage is sampled at a number of 'real' sample positions within each pixel. Color and depth values are computed for each of these real samples. Fragment alpha values are used to determine an alpha coverage mask for the real samples and additional 'virtual' samples, in which the number of bits set in the mask bits is proportional to the alpha value. An alpha-to-coverage mode uses the virtual samples to increase the number of transparency levels for each pixel compared with using only real samples. The alpha-to-coverage mode may be used in conjunction with virtual coverage anti-aliasing to provide higher-quality transparency for rendering anti-aliased images.

Alpha-to-coverage using virtual samples

Method and system for image compression while encoding at least one extra bit

A method for performing image rendering. The method includes identifying a tile in an image, wherein the image comprises a plurality of tiles including color data that is displayed by a plurality of pixels. A quantized first base value and a quantized second base value are accessed from a block of memory, wherein the block is associated with the tile. Reverse quantization is performed on the quantized first and second base values to obtain a reproduced first base value, and a reproduced second base value corresponding to the tile for purposes of determining color values for corresponding pixels.

Method and system for quantizing and squeezing base values of associated tiles in an image

A method for compressing normal maps in a computer system. The method includes accessing a map of input normals. A memory block having a first portion and a second portion is defined. A table of indices is stored in the first portion of the memory block and a table of normals is stored in the second portion of the memory block. The indices of the first portion of the memory block reference the normals of the second portion. The normals in the second portion of the memory block are unit normals of a sphere defined to represent the map of input normals.

Method and system for implementing compressed normal maps

A method for performing indexing in an image decoder. The method includes identifying a tile in an image, wherein the image comprises a plurality of tiles, and wherein each tile includes color data associated with a plurality of pixels. The method includes asymmetrically providing a plurality of indices throughout the tile. The method includes identifying a pixel in the tile. The method also includes determining a corresponding rectangular grid that includes the pixel, wherein the corresponding rectangular grid comprises at least one indices in a group of indices. The method includes determining an index for the pixel by bilinearly filtering the group of indices that is associated with the corresponding rectangular grid, wherein the filtering is performed in relation to the pixel.

Method and system for interpolating index values of associated tiles in an image

Methods and systems for decompressing data are described. The relative magnitudes of a first value and a second value are compared. The first value and the second value represent respective endpoints of a range of values. The first value and the second value each have N bits of precision. Either the first or second value is selected, based on the result of the comparison. The selected value is scaled to produce a third value having N+1 bits of precision. A specified bit value is appended as the least significant bit of the other (non-selected) value to produce a fourth value having N+1 bits of precision.

Data decompression with extra precision

Alpha-to-coverage value determination using virtual samples

A method of organizing memory for storage of texture data, in accordance with one embodiment of the invention, includes accessing a size of a mipmap level of a texture map. A block dimension may be determined based on the size of the mipmap level. A memory space (e.g., computer-readable medium) may be logically divided into a plurality of whole number of blocks of variable dimension. The dimension of the blocks is measured in units of gobs and each gob is of a fixed dimension of bytes. A mipmap level of a texture map may be stored in the memory space. A texel coordinate of said mipmap level may be converted into a byte address of the memory space by determining a gob address of a gob in which the texel coordinate resides and determining a byte address within the particular gob.

Block linear memory ordering of texture data techniques

Growing community of inventors

Saratoga, CA, United States of America

Walter E Donovan