GPU vertex coloring task scheduling method based on SystemC

Abstract

The invention relates to the technical field of computer hardware modeling, and provides a GPU vertex coloring task scheduling method based on SystemC, which comprises the following steps of 1, initializing a function, outputting data to a graph drawing module (2) through a transaction-level interface if data exist in a graph drawing FIFO, and skipping to a step 2; otherwise, if the graphical function code enabling variable glFunCodeEnable is enabled, outputting the graphical function code enabling variable glFunCodeEnable to the function code processing module (3) through the transaction level interface, and skipping to the step 3; otherwise, if the debugging mode DebugMode is in the enabling state, outputting the debugging mode DebugMode to a debugging module (4) through a transaction-level interface, and skipping to the step 4; otherwise, circularly executing the step 1; step 2, executing processing and scheduling of the graph drawing command in a simple mode and a complex mode; step 3, executing processing and scheduling of the graphic function code; and 4, executing data processing and scheduling in the debugging mode.

Description

technical field [0001] The invention relates to the technical field of computer hardware modeling, in particular to a SystemC-oriented GPU vertex coloring task scheduling method. Background technique [0002] With the continuous increase of graphics applications, the early solution of graphics rendering by CPU alone has been difficult to meet the graphics processing needs of performance and technology growth, and the graphics processing unit (Graphic Processing Unit, GPU) came into being. Since the release of the first GPU product by Nvidia in 1999, the development of GPU technology has mainly gone through the fixed-function pipeline stage, the stage of separating the dyer architecture, and the stage of unified dyer architecture. Rendering gradually extends to the field of general computing. The high-speed, parallel features and flexible programmability of the GPU pipeline provide a good operating platform for graphics processing and general parallel computing. [0003] At...

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Problems solved by technology

When the design is expressed as a system-level model, it is easy to use different algorithms to try the design multiple times, and it can be quickly completed by switching to different structures; if the register-transfer-level or gate-level model is used To express the design, the scale is usually quite large, and it is time-consuming, if not too difficult, to experiment with different design structures or make some changes

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