Advanced Micro Devices Corporation

Ati Technologies Ulc

Ati Technologies Inc.

Rex Eldon McCrary

Michael Mantor

Philip J Rogers

Ralph Clay Taylor

Mark M Leather

Robert Scott Hartog

Sebastien Nussbaum

Thomas R Woller

Kevin John McGrath

Nuwan S Jayasena

Alexander Fuad Ashkar

Harry J Wise

Anthony Asaro

Mark Fowler

Anirudh Rajendra Acharya

Jeffrey Gongxian Cheng

Timour T Paltashev

Randy Wayne Ramsey

Angel E Socarras

Gongxian Jeffrey Cheng

David A Gotwalt

Frank W Liljeros

Tom Frisinger

Rodney C Andre

Mark Douglas Hummel

Jeffrey T Brady

Paul Blinzer

Michael C Houston

Ralph Clayton Taylor

Nishank Pathak

Tad Robert Litwiller

Brian A Buchner

Rakan Z Khraisha

Yi Luo

Gongxian Jefferey Cheng

Michael J Mantor

A graphics processing unit (GPU) includes a plurality of programmable processing cores configured to process graphics primitives and corresponding data and a plurality of fixed-function hardware units. The plurality of processing cores and the plurality of fixed-function hardware units are configured to implement a configurable number of virtual pipelines to concurrently process different command flows. Each virtual pipeline includes a configurable number of fragments and an operational state of each virtual pipeline is specified by a different context. The configurable number of virtual pipelines can be modified from a first number to a second number that is different than the first number. An emulation of a fixed-function hardware unit can be instantiated on one or more of the graphics processing cores in response to detection of a bottleneck in a fixed-function hardware unit. One or more of the virtual pipelines can then be reconfigured to utilize the emulation instead of the fixed-function hardware unit.

Reconfigurable virtual graphics and compute processor pipeline

Systems, apparatuses, and methods for abstracting tasks in virtual memory identifier (VMID) containers are disclosed. A processor coupled to a memory executes a plurality of concurrent tasks including a first task. Responsive to detecting one or more instructions of the first task which correspond to a first operation, the processor retrieves a first identifier (ID) which is used to uniquely identify the first task, wherein the first ID is transparent to the first task. Then, the processor maps the first ID to a second ID and/or a third ID. The processor completes the first operation by using the second ID and/or the third ID to identify the first task to at least a first data structure. In one implementation, the first operation is a memory access operation and the first data structure is a set of page tables. Also, in one implementation, the second ID identifies a first application of the first task and the third ID identifies a first operating system (OS) of the first task.

VMID as a GPU task container for virtualization

An apparatus such as a graphics processing unit (GPU) includes a set of shader engines and a set of front end (FE) circuits. Subsets of the set of FE circuits schedule geometry workloads for subsets of the set of shader engines based on a mapping. The apparatus also includes a set of physical paths that convey information from the set of FE circuits to a memory via the set of shader engines. Subsets of the set of physical paths are allocated to the subsets of the set of FE circuits and the subsets of the set of shader engines based on the mapping. The mapping determines information stored in a set of registers used to configure the apparatus. In some cases, the set of registers store information indicating a spatial partitioning of the set of physical paths.

Fully utilized hardware in a multi-tenancy graphics processing unit

A primary processing unit includes queues configured to store commands prior to execution in corresponding pipelines. The primary processing unit also includes a first table configured to store entries indicating dependencies between commands that are to be executed on different ones of a plurality of processing units that include the primary processing unit and one or more secondary processing units. The primary processing unit also includes a scheduler configured to release commands in response to resolution of the dependencies. In some cases, a first one of the secondary processing units schedules the first command for execution in response to resolution of a dependency on a second command executing in a second one of the secondary processing units. The second one of the secondary processing units notifies the primary processing unit in response to completing execution of the second command.

Cross GPU scheduling of dependent processes

A processing unit such as a graphics processing unit (GPU) includes a set of queues that stores command buffers prior to execution in a corresponding plurality of pipelines. The processing unit also implements a kernel mode driver that allocates a first subset of the set of queues to a first application in response to receiving registration requests from the first application. The processing unit further includes a scheduler that schedules command buffers in the first subset of the set of queues for concurrent execution on a first subset of the set of pipelines. In some cases, an interrupt is generated in response to execution of a first command in a first command buffer in the first queue or the second queue. The interrupt includes an address indicating a location of a routine to be executed by a second subset of the plurality of pipelines.

Gang scheduling with an onboard graphics processing unit and user-based queues

A first processing unit such as a graphics processing unit (GPU) pipelines that execute commands and a scheduler to schedule one or more first commands for execution by one or more of the pipelines. The one or more first commands are received from a user mode driver in a second processing unit such as a central processing unit (CPU). The scheduler schedules one or more second commands for execution in response to completing execution of the one or more first commands and without notifying the second processing unit. In some cases, the first processing unit includes a direct memory access (DMA) engine that writes blocks of information from the first processing unit to a memory. The one or more second commands program the DMA engine to write a block of information including results generated by executing the one or more first commands.

Distributed user mode processing

A processing system includes a graphics pipeline that executes a first shader of a first type and a second shader of a second type. In some cases, the first shader is a geometry shader and the second shader is a pixel shader. The processing system also includes buffers that hold primitives generated by the first shader and provide the primitives to the second shader. The processing system also includes a primitive hub that monitors fullness of the buffers. Launching of waves from the first shader is throttled based on the fullness of the buffers. A shader processor input (SPI) selectively throttles the waves launched by the geometry shader based on a signal from the primitive hub indicating the fullness, an indication of relative resource usage of geometry waves and pixel waves in the graphics pipeline, or an indication of lifetimes of the geometry waves.

Throttling shaders based on resource usage in a graphics pipeline

An apparatus such as a graphics processing unit (GPU) includes shader engines and front end (FE) circuits. Subsets of the FE circuits are configured to schedule commands for execution on corresponding subsets of the shader engines. The apparatus also includes a set of physical paths configured to convey information from the FE circuits to a memory via the shader engines. Subsets of the physical paths are allocated to the subsets of the FE circuits and the corresponding subsets of the shader engines. The apparatus further includes a scheduler configured to receive a reconfiguration request and modify the set of physical paths based on the reconfiguration request. In some cases, the reconfiguration request is provided by a central processing unit (CPU) that requests the modification based on characteristics of applications generating the commands.

Dynamic transparent reconfiguration of a multi-tenant graphics processing unit

A system and method for providing security of sensitive information within chips using SIMD micro-architecture are described. A command processor within a parallel data processing unit, such as a graphics processing unit (GPU), schedules commands across multiple compute units based on state information. When the command processor determines a rescheduling condition is satisfied, it causes the overwriting of at least a portion of data stored in each of the one or more local memories used by the multiple compute units. The command processor also stores in the secure memory a copy of state information associated with a given group of commands and later checks it to ensure corruption by a malicious or careless program is prevented.

Trusted memory zone

A method of context bouncing includes receiving, at a command processor of a graphics processing unit (GPU), a conditional execute packet providing a hash identifier corresponding to an encapsulated state. The encapsulated state includes one or more context state packets following the conditional execute packet. A command packet following the encapsulated state is executed based at least in part on determining whether the hash identifier of the encapsulated state matches one of a plurality of hash identifiers of active context states currently stored at the GPU.

Graphics context bouncing

A processing unit employs microcode wherein the jump table associated with the microcode is embedded in the microcode itself. When the microcode is compiled based on a set of programmer instructions, the compiler prepares the jump table for the microcode and stores the jump table in the same file or other storage unit as the microcode. When the processing unit is initialized to execute a program, such as an operating system, the processing unit retrieves the microcode corresponding to the program from memory, stores the microcode in a cache or other memory module for execution, and automatically loads the embedded jump table from the microcode to a specified set of jump table registers, thereby preparing the processing unit to process received packets.

Processor microcode with embedded jump table

A processing system includes a set of queues to store command buffers prior to execution in a corresponding plurality of pipelines. The processing system also includes one or more first doorbells and a second doorbell. The first doorbells map to one or more queues in the set of queues on a one-to-one basis. The second doorbell maps to a subset of the set of queues on a one-to-many basis. A doorbell monitor generates an interrupt in response to an empty queue in the subset becoming a non-empty queue. A scheduler polls the subset in response to the interrupt. The scheduler schedules a command buffer from the non-empty queue for execution or adds the command buffer to a pool for subsequent execution.

Aggregated doorbells for unmapped queues in a graphics processing unit

Systems, apparatuses, and methods for dynamically adjusting the power consumption of prefetch engines are disclosed. In one embodiment, a processor includes one or more prefetch engines, a draw completion engine, and a queue in between the one or more prefetch engines and the draw completion engine. If the number of packets stored in the queue is greater than a high watermark, then the processor reduces the power state of the prefetch engine(s). By decreasing the power state of the prefetch engine(s), power consumption is reduced. Additionally, this power consumption reduction is achieved without affecting performance, since the queue has a high occupancy and the draw completion engine can continue to read packets out of the queue. If the number of packets stored in the queue is less than a low watermark, then the processor increases the power state of the prefetch engine(s).

Saving power in the command processor using queue based watermarks

Growing community of inventors

Oviedo, FL, United States of America

Rex Eldon McCrary