Machine Instruction Analysis for DCT Algorithm using DLX Architecture

Believa Dyanneley, N. Karna, R. Patmasari, Dong-Seong Kim
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Abstract

One of the methods to reduce the size of images is by compressing the images. This research tried to find out the machine instruction set of DLX microprocessor to do image compression, in which the result will be used to design an ASIP microprocessor that has less power consumption compared to a general-purpose microprocessor with dozens of machine instruction. This ASIP microprocessor will become the heart of our next project, which is the autonomous seabed robot scanner that will be installed under the sea which relying on a rechargeable battery to supply the power. That is why this research is very crucial to reduce the power consumption of the microprocessor to save more energy for long term use. This research uses a simulation tool for DLX microprocessor, namely the WinDLX, to implement the algorithm of Discrete Cosine Transform (DCT) for image compression process. The result shows that the program requires a total of 14763 cycles executed with a total of 5920 instructions. The instructions which are often used in this experiment are LF (Load Float) which is used to load the value of matrices before being stored in the memory and multiplied to other matrices.
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基于DLX架构的DCT算法机器指令分析
减少图像大小的方法之一是压缩图像。本研究试图找出用于图像压缩的DLX微处理器的机器指令集,并将其结果用于设计一种比具有数十条机器指令的通用微处理器功耗更低的ASIP微处理器。这种ASIP微处理器将成为我们下一个项目的核心,这是一个自主的海底机器人扫描仪,将安装在海底,依靠可充电电池供电。这就是为什么这项研究对于降低微处理器的功耗以节省更多的能源以长期使用是非常重要的。本研究使用DLX微处理器的仿真工具WinDLX来实现图像压缩过程中的离散余弦变换(DCT)算法。结果表明,该程序总共需要执行14763个周期,总共5920条指令。在这个实验中经常使用的指令是LF (Load Float),它用于在存储到内存中之前加载矩阵的值并乘以其他矩阵。
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