基于参考模型的二维图形引擎验证效率最大化

Anita Pinto, Y. S. S. Harish
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引用次数: 3

摘要

本文提出了一种基于参考模型的二维图形加速器IP验证效率最大化的方法。大多数成像ip,如2D图形加速器、JPEG编码器/解码器,都涉及对图像数据进行复杂的数学处理,因此C参考模型很容易用于数据检查。验证2D图形引擎主要包括配置渲染参数,将图像数据加载到内存,通过设置适当的命令寄存器启动2D引擎,最后将输出的图像数据与C参考模型输出数据进行比较。在本文中,我们描述并比较了在基于Specman的验证环境中连接C参考模型的不同方法。我们还演示了利用VR AD寄存器包直接从基于HVL的测试台配置C参考模型的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximizing Efficiency in Reference Model Based Verification of 2D Graphics Engine
This paper presents an approach to maximize efficiency in reference model based verification of a 2D Graphics Accelerator IP. Most of the Imaging IPs like 2D Graphics Accelerator, JPEG Encoder/Decoder, involve complex mathematical process on image data for which C Reference Models are readily available for Data checking. Verifying a 2D Graphics Engine primarily consists of configuring the rendering parameters, loading image data to the memory and starting the 2D Engine through setting appropriate command registers and finally comparing the output image data with the C Reference Model Output Data. In this paper, we describe and compare different ways of hooking up a C Reference Model in a Specman based verification environment. We also demonstrate the advantages of exploiting the VR AD Register package to configure the C Reference Model directly from the HVL based Testbench.
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