Nvidia Corporation

Andrei Khodakovsky

Jeffrey A Bolz

Ziyad Sami Hakura

Rouslan Lyubomirov Dimitrov

Franck Diard

Lacky V Shah

Eric Brian Lum

Rui Manuel Bastos

Bengt-Olaf Schneider

Wishwesh Anil Gandhi

Christian Amsinck

Kirill A Dmitriev

Amanpreet Grewal

Tzyywei Hwang

Jack H Choquette

Shirish C Gadre

Emmett Michael Kilgariff

Dale L Kirkland

Manan Patel

Ajay Sudarshan Tirumala

Cynthia Ann Edgeworth Allison

Praveen Kaushik

Shekhar Vasant Divekar

Matthew Johnson

A just-in-time (JIT) compiler binds constants to specific memory locations at runtime. The JIT compiler parses program code derived from a multithreaded application and identifies an instruction that references a uniform constant. The JIT compiler then determines a chain of pointers that originates within a root table specified in the multithreaded application and terminates at the uniform constant. The JIT compiler generates additional instructions for traversing the chain of pointers and inserts these instructions into the program code. A parallel processor executes this compiled code and, in doing so, causes a thread to traverse the chain of pointers and bind the uniform constant to a uniform register at runtime. Each thread in a group of threads executing on the parallel processor may then access the uniform constant.

Binding constants at runtime for improved resource utilization

One or more copy commands are scheduled for locating one or more pages of data in a local memory of a graphics processing unit (GPU) for more efficient access to the pages of data during rendering. A first processing unit that is coupled to a first GPU receives a notification that an access request count has reached a specified threshold. The first processing unit schedules a copy command to copy the first page of data to a first memory circuit of the first GPU from a second memory circuit of the second GPU. The copy command is included within a GPU command stream.

Multi-GPU frame rendering

A method for rendering graphics frames allocates rendering work to multiple graphics processing units (GPUs) that are configured to allow access to pages of data stored in locally attached memory of a peer GPU. The method includes the steps of generating, by a first GPU coupled to a first memory circuit, one or more first memory access requests to render a first primitive for a first frame, where at least one of the first memory access requests targets a first page of data that physically resides within a second memory circuit coupled to a second GPU. The first GPU requests the first page of data through a first data link coupling the first GPU to the second GPU and a register circuit within the first GPU accumulates an access request count for the first page of data. The first GPU notifies a driver that the access request count has reached a specified threshold.

One embodiment of the present invention sets forth a technique for managing graphics processing resources in a tile-based architecture. The technique includes storing a release packet associated with a graphics processing resource in a buffer and initiating a replay of graphics primitives stored in the buffer and associated with the graphics processing resource. The technique further includes, for each tile included in a plurality of tiles and processed during the replay, reading the release packet and determining whether the tile is a last tile processed during the replay. The technique further includes determining not to transmit the release packet to a screen-space pipeline and continuing to read graphics data stored in the buffer if the tile is not the last tile to be processed during the replay, or transmitting the release packet to the screen-space pipeline if the tile is the last tile to be processed during the replay.

Techniques for managing graphics processing resources in a tile-based architecture

A method for managing bind-render-target commands in a tile-based architecture. The method includes receiving a requested set of bound render targets and a draw command. The method also includes, upon receiving the draw command, determining whether a current set of bound render targets includes each of the render targets identified in the requested set. The method further includes, if the current set does not include each render target identified in the requested set, then issuing a flush-tiling-unit-command to a parallel processing subsystem, modifying the current set to include each render target identified in the requested set, and issuing bind-render-target commands identifying the requested set to the tile-based architecture for processing. The method further includes, if the current set of render targets includes each render target identified in the requested set, then not issuing the flush-tiling-unit-command.

Managing deferred contexts in a cache tiling architecture

One embodiment of the present invention includes techniques for adaptively sizing cache tiles in a graphics system. A device driver associated with a graphics system sets a cache tile size associated with a cache tile to a first size. The detects a change from a first render target configuration that includes a first set of render targets to a second render target configuration that includes a second set of render targets. The device driver sets the cache tile size to a second size based on the second render target configuration. One advantage of the disclosed approach is that the cache tile size is adaptively sized, resulting in fewer cache tiles for less complex render target configurations. Adaptively sizing cache tiles leads to more efficient processor utilization and reduced power requirements. In addition, a unified L2 cache tile allows dynamic partitioning of cache memory between cache tile data and other data.

Caching of adaptively sized cache tiles in a unified L2 cache with surface compression

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.

System, method, and computer program product for using compression with programmable sample locations

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.

One embodiment of the present invention sets forth a method for dynamically load balancing rendering operations across an IGPU and a DGPU. For each frame, the graphics driver configures the IGPU to pre-compute Z-values for a portion of the display surface and to write feedback data to the system memory indicating the time that the IGPU used to process the frame. The graphics driver then configures the DGPU to use the pre-computed Z-values while rendering to the complete display surface and to write feedback data to the system memory indicating the time that the DGPU used to process the frame. The graphics driver uses the feedback data from the IGPU and DGPU in conjunction with the percentage of the display surface that the IGPU Z-rendered for the frame to scale the portion of the display surface that the IGPU Z-renders for one or more subsequent frames. In this fashion, overall processing within the graphics pipeline is optimized across the IGPU and DGPU.

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Belmont, CA, United States of America

Andrei Khodakovsky