SystemC-based multi-GPU transaction-level model device and operation method

Abstract

The invention relates to a SystemC-based multi-GPU transaction-level model device and an operation method. The device comprises an OpenGL driving model, a host model, a multi-GPU TLM model, a video memory model, a display model and a transaction level interface used for connecting all model assemblies, all of which are connected in sequence. The operation method comprises the following steps: 1) an OpenGL driving model receives an OpenGL command issued by a graphic application; 2) the host model realizes a transaction-level interface; 3) the video memory model provides writing and reading of graphic drawing data for each GPU model; and 4) the image data in the video memory model is converted into a displayable picture format by the display model. According to the SystemC-based multi-GPU transaction-level model device and the operation method, the requirements of chip system architecture and related functional units for verification as soon as possible are met based on software and hardware collaborative modeling language SystemC, a virtual prototype is provided for multi-GPU graphic processing application and development, and reference design is provided for RTL design.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to View More

AI Technical Summary

Benefits of technology

This patented system allows multiple GPU devices (such as servers) communicate with each other over an interface called Interface Signaling Connection Part III or Intermediate Control Message Transfer Pathway). It simplifies the process of verifying complex graphic processing techniques during initial stages of projects while also providing a way to create simulations where different parts can be combined together without having them interacting directly. These simulation results help improve program quality and reduce errors later when they become more important than earlier versions.

Problems solved by technology

In this patented problem addressed in this patents relates to developing an efficient way to combine two CPU cores into one (called GPG) when performing simulations involving massively distributed datasets like images. Current methods involve expensive hardware components and slow down overall graphic processing cycles due to their limited functionality and flexibility. There is currently no solution available yet but there may still exist techniques to overcome these limitations.

Images