Abstract: Embodiments described herein provide a configurable heterogeneous Artificial Intelligence (AI) processor comprising at least two different architectural types of computation units, a storage unit and a controller. Each of the computation units has a respective task queue. The controller is configured to partition a computation graph of a neural network into a plurality of computation subtasks and distribute the computation subtasks to the task queues of the computation units. The controller is also configured to set a dependency among the computation subtasks, synchronize the computation subtasks according to the set dependency, and control access to data involved in the computation subtasks. Different application tasks are processed by uniformly managing and scheduling the various architectural types of computation units in an on-chip heterogeneous manner, so that the AI processor can flexibly adapt to different application scenarios.

Abstract: Embodiments described herein provide an on-chip heterogeneous Artificial Intelligence (AI) processor comprising at least two different architectural types of computation units, wherein each of the computation units is associated with a respective task queue configured to store computation subtasks to be executed by the computation unit. The AI processor also comprises a controller configured to partition a received computation graph associated with a neural network into a plurality of computation subtasks according to a preset scheduling strategy and distribute the computation subtasks to the task queues of the computation units. The AI processor further comprises a storage unit configured to store data required by the computation units to execute their respective computation subtasks and an access interface configured to access an off-chip memory. Different application tasks are processed by managing and scheduling the different architectural types of computation units in an on-chip heterogeneous manner.

Abstract: A graphics pipeline configured to synchronize data processing according to signals and tokens has at least four components. The first component has one input and one output and communicates output tokens or wire signals after receiving tokens on the input, an internal event occurrence, or receipt of a signal on an input path. The second component has one input and a plurality of outputs and communicates tokens or wire signals on one of the outputs after receiving tokens on the input, an internal event occurrence, or receipt of a signal on an input path. The third component has a plurality of inputs and one output and communicates tokens or wire signals on the output after receiving tokens on one of the inputs, an internal event occurrence, or receipt of a signal on an input path. The fourth component has a plurality of inputs and a plurality of outputs and has the capabilities of both the third and forth components.

Abstract: A graphics pipeline configured to synchronize data processing according to signals and tokens has at least four components. The first component has one input and one output and communicates output tokens or wire signals after receiving tokens on the input, an internal event occurrence, or receipt of a signal on an input path. The second component has one input and a plurality of outputs and communicates tokens or wire signals on one of the outputs after receiving tokens on the input, an internal event occurrence, or receipt of a signal on an input path. The third component has a plurality of inputs and one output and communicates tokens or wire signals on the output after receiving tokens on one of the inputs, an internal event occurrence, or receipt of a signal on an input path. The fourth component has a plurality of inputs and a plurality of outputs and has the capabilities of both the third and forth components.

Abstract: A method for high level synchronization between an application and a graphics pipeline comprises receiving an application instruction in an input stream at a predetermined component, such as a command stream processor (CSP), as sent by a central processing unit. The CSP may have a first portion coupled to a next component in the graphics pipeline and a second portion coupled to a plurality of components of the graphics pipeline. A command associated with the application instruction may be forwarded from the first portion to the next component in the graphics pipeline or some other component coupled thereto. The command may be received and thereafter executed. A response may be communicated on a feedback path to the second portion of the CSP. Nonlimiting exemplary application instructions that may be received and executed by the CSP include check surface fault, trap, wait, signal, stall, flip, and trigger.

Abstract: Systems and methods are provided for compressing computer graphics color data in a system utilizing a multi-sample anti-aliasing scheme using an edge data bitmask to generate a compression code for determining the compressibility of tile color data, where the edge data bitmask is a record of edge locations relative to the pixels and sub-pixels within a tile.